;Demographic Information;;SWEBOK Area;;;;;;;;;;;;;;;Cognitive Aspect;;;;;Context;;Study Type;;;;;;Cognition;Attention;;;;Memory;;;;Cognitive load;;;Emotion;;;;;;;;;;Reasoning / Problem solving;;;;Knowledge and expertise;;;;;Cognitive action/control;;;Qualitative measures;;;;;Quantitative measures;;;;;Publication Type;;;;
Title;Venue;Year;SR;SD;SC;ST;SM;SCM;SEM;SEP;SEMM;SQ;SEPP;SEE;CF;MF;EF;Theory;Cognitive Concepts;Cognitive Measures;Assessment;Added Value of Cognitive Aspect;Academia;Industry;Solution Proposal (example);Empirical Study;Experience Papers;Philosophical Papers;Opinion Papers;"Outcome
Contribution





";;Attention;Selective attention;Divided attention;Sustained attention;Memory;Working memory;Short-term memory;Long-term memory;Cognitive load;Intrinsic CL;Extrinsic CL;Emotion;Motivation;Intrinsic motivation;Extrinsic motivation;Stress;Reward;Appr. avoid. motiv.;Arousal;Attitude;Perception;Problem solving;Reasoning;Decision making;Cognitive biases;Knowledge;Explicit knowledge;Tacit knowledge;Techn. tacit knowl.;Cogn. tacit knowl.;Cognitive control;Social Cognition;;Qualit. measures;Fieldwork;Interview;Task-based;Open observation;Quantit. measures;Task performance;Physiological meas.;Subjective ratings;Behavioral meas.;publication_type;;;;
Assessing the effectiveness of sequence diagrams in the comprehension of functional requirements: results from a family of five experiments; IEEE Trans. Softw. Eng. ;2013;1;;;;;;;;;;;;;;;;Comprehension ;None;Questionnaire assessing the understanding;Not discussed.;1;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
 Problem solving and the development of abstract categories in programming languages;Memory and Cognition;1981;;;1;;;;;;;;;;;;;;Knowledge structuring and memory;Not sure... organization/conceptualization of information?;Free recall. Program code was presented, line by line and in random order to participants. The cognitive process of structuring that information was then measuring by looking at the order and chunks in which the lines were recalled.;Central to the paper;1;;;1;;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;1;;;;;;;J;;;;
 Cognitive Fit in Requirements Modeling: A Study of Object and Process Methodologies;J. Management Information Systems;1996;;1;;;;;;;;;;;;;;;Cognitive fit (match of task and tool for problem solving);Task performance;Scoring scheme that assessed the produced solutions.;Central to the paper;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;J;;;;
The Role of Prior Experience and Task Characteristics in Object-Oriented Modeling: An Empirical Study; Int'l J. Human Computer Studies;1996;;1;;;;;;;;;;;;;;;Cognitive processes in problem solving activities. Impact of cognitive fit and experience on performance.;Task performance;Scoring scheme that assessed the produced solutions.;Central to the paper;1;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Comprehending object and process models: An empirical study;;1999;;1;1;;;;;;;;;;;;;Human information processing (Newell & Simon);Human problem solving, structural vs procedural, cognitive fit;Comprehension based on structural or procedural solution;Measured comprehension by specific questions relating to the programming task at hand.;Motivation for experiment.;1;;;1;;;;Initial evidence that a procedural design/programming style might have benefits over OO.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;1;;J;;;;
Scenario-based programming: Reducing the cognitive load, fostering abstract thinking;36th International Conference on Software Engineering, ICSE Companion 2014 - Proceedings;2014;;;1;;;;;;;;;;;;;Cognitive load;Abstraction / level of abstraction;Use of abstraction / levels of abstraction;Qualitative analysis of interviews;Central to the study;1;;;1;;;;The paper finds that scenario-based programming reduces cognitive load compared to OOP, in terms of developers using higher levels of abstraction with the former. Several rich details are given.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;C;;;;
Effectiveness of human error taxonomy during requirements inspection: An empirical investigation;Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE;2016;1;;;;;;;;;;;;;;;Human Error Taxonomy;Cognitive Failures (Mistakes, Slips, Lapses);"Effectiveness (Faults)
Efficiency (Faults/Hour)";"Counting of faults
Questionnaire";"Effectivesness of Human Error Taxonomies during Requirements Inspection; applying an error taxonomy that takes cognitive aspects into account";1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;C;;;;
Anchoring and adjustment in software estimation;ESEC/FSE'05 - Proceedings of the Joint 10th European Software Engineering Conference (ESEC) and 13th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-13);2005;;;;;;;1;;;;;;;;;;Cognitive biases, in particular anchoring and adjustment bias.;Influence of anchor on estimation ;Task based (estimate, confidence interval, estimation method);Central to the paper.;1;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;C;;;;
A Cognitive-Based Approach to Improve Distributed Requirement Elicitation Processes;4th IEEE International Conference on Cognitive Informatics;2005;1;;;;;;;;;;;;;;;Felder-Silverman learning style model;Learning style;Categories of learning preferences: sensing/intuitive, visual/verbal, active/reflective, sequential/global;multiple-choice test;Central to the paper;;;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
Towards a cognitive-based approach to distributed requirement elicitation processes;WER 2005 - 8th Workshop on Requirements Engineering, Workshop em Engenharia de Requisitos;2005;1;;;;;;;;;;;;;;;;Felder-Silverman Learning Style Model;"Classification of people into 
Sensing / Intuitive;
Visual / Verbal;
Active / Reflective;
Sequential / Global";Measurement of personal preferences based learning style on scale Very (V), Moderately (M) and Slightly (S);cognitive-based model for distributed requirements elicitation;;1;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;W;;;;
Cognitive-based rules as a means to select suitable groupware tools;Proceedings of the 5th IEEE International Conference on Cognitive Informatics, ICCI 2006;2006;1;;;;;;1;;;;;;;;;Jung's theory of psychological types;"Learning style models (LSM)
LSM based on Felder-Silverman model";"Learning style
Preferences regarding groupware tools";Questionnaire (learning style + groupware tool preferences);Used to inform the creation of a method;1;1;;1;;;;A method to select a suitable groupware tool that fits the learning styles of members in a given group. The method consists of using a fuzzy set -based machine learning algorithm that learns preference rules from data about people's learning styles and their groupware preferences. The authors position the contribution as being useful in global software engineering because better chosen tools could help with coordination.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
Technology selection to improve global collaboration;Proceedings - 2006 IEEE International Conference on Global Software Engineering, ICGSE 2006;2006;1;;;;;;1;;;;;;;;;Cognitive styles;"Learning style models (LSM)
LSM based on Felder-Sivlerman model";"Learning style
Preferences regarding groupware tools and requirement elicitation techniques";Questionnaire (learning style + groupware tool and requirement elicitation technique preferences);Used to inform the creation of a method;1;1;;1;;;;A method to select a suitable groupware tool and requirements elicitation technique that fits the learning styles of members in a given group. The method consists of using a fuzzy set -based machine learning algorithm that learns preference rules from data about people's learning styles and their groupware and elicitation technique preferences. The authors position the contribution as being useful in global software engineering because better chosen tools and techniques could help with coordination.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
Applying strategies to recommend groupware tools according to cognitive characteristics of a team;Studies in Computational Intelligence;2010;1;;;;;;;;;;1;;;;;Learning Style Models (LMS) classify people according to a set of behavioral characteristics. Model used in this paper is the Felder-Silverman (FS) model.;Cognitive style (defined by the FS-LMS dimensions);Satisfaction of communication and produced SRS.;Questionnaire, 0 (very bad)-4(very good);Central to the paper;1;;;1;;;;This paper is right on the border of relevance for this review. What is studied is the influence of communication tools on the performance in a SE task (requirements elicitation and specification). While the cognitive profiles of individuals are used, the task is clearly not confined to the individual but a group matter. I would tend to be inclusive on this one and similar papers.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;J;;;;
Understanding mindshift learning: the transition to object-oriented development;Management Information Systems;2007;;;1;;;;;;;;;;;;;Mindshift Learning Theory;mindshift;Concept Knowledge, Concept Organization;7-point Likert scale;Central to the paper;;1;;1;;;;Proposed and validated Mindshift Learning Theory.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;1;;J;;;;
"Cognitive biases and decision support
systems development: a design science
approach";Information Systems Journal;2006;;1;1;;;;1;;1;;;;;;;Cognitive Bias;Cognitive Biases, Debiasing;;Biases identified, but not assessed;Central to the paper;;1;1;1;1;;;A systems development methodology that is effective in developing strategic personal DSS.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;J;;;;
Using EUREQA for end-user UML model development through design patterns;Journal of Software;2011;;1;;;;;;;;;;;;;;;Cognitive load, cognitive gap;No, qualitative study;;"""Addressing cognitive gap"" is key research question for paper. Several cognitive constructs also in results from analysis of audio/video recordings during empirical study. (table 1)";1;;;1;;;;Design tool that aims to reduce cognitive gap;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
A minimalist visual notation for design patterns and antipatterns;Proceedings - International Conference on Information Technology: New Generations, ITNG 2008;2008;;1;;;;;;;;;;;;;;;Cognitive load;;;"The authors ""beleive the proposed solution has low cognitive load"" but no further evidence or effect on paper.";1;;1;;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Commit Bubbles;Proceedings - International Conference on Software Engineering;2015;;;1;;;;;;;;;;;;;;Cognitive effort;None;None;Touched upon but not really in the center.;;;1;;;;;Could also be exluded, short position paper with little discussion. Idea is not new (mentioned in the acknowledgements), maybe we should look at these publications: http://cs.brown.edu/~spr/codebubbles/index.html;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
An eye-tracking methodology for characterizing program comprehension processes;Symposium on Eye Tracking Research & Applications;2006;;;;;1;;;;;;;;;;;;Program comprehension.;Ratios of fixation counts, attention switching, and fixation durations between the main representations of a program;Ratio of fixation counts.;Central to the paper;1;;;1;;;;introduce eye-tracking as a valid source of data about behavioral aspects of programming and to develop an approach to analyze this data.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;;1;C;;;;
Temporal Eye-Tracking Data: Evolution of Debugging Strategies with Multiple Representations;Symposium on Eye Tracking Research & Applications;2008;;;;;1;;;;;;;;;;;;Attention, Program respresentation;"The proportional fixation time on each area of interest (AOI), frequency of visual attention switches be-
tween the areas, and the type of switch";;Central to the paper;1;;;1;;;;more experienced programmers integrate the output of the program and employ a high-frequency of visual attention switching to coordinate different program representations;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;C;;;;
Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques;Journal of Systems and Software;2013;1;1;;;;;;;;;;;;;;Cognitive style theory;Cognitive styles;Cognitive style;Riding's CSA test;Cognitive style is hypothesised to be related to user interface navigation behaviour.;1;;;1;;;;The paper investigates whether cognitive style is related to user interface navigation behaviour. If so, user interface navigation behaviour could be used to infer cognitive style, allowing automatic creation of user profiles/models which could be used as input for development. However, the paper found no reliable relationship. Distinct clusters of navigation behaviour were found, but these did not correspond to cognitive style in terms of the selected theory.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;1;J;;;;
Behavioral Aspects of information processing for the design of management information systems;IEEE Transactions on Systems, Man and Cybernetics;1982;1;;;;;;;;;;;;;;;Several;Decision-making/judgement, cognitive bias, cognitive complexity, individual differences (cognitive style, personality);N/A;N/A;Theoretical demonstration of how cognitive aspects should inform the design of information systems;;;;;;1;;"Discusses a set of theories and findings related to human cognitition and proposes that these should be taken into account in information system design; also proposes how some of them could be used in IS design.";1;;;;;;;;;1;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;;;;J;;;;
Code Basket: Making Developers' Mental Model Visible and Explorable;2015 IEEE/ACM 2nd International Workshop on Context for Software Development;2015;;;1;;;;;;;;;;;;;;Mental Model;Graph structure of source code;"Visualisation by developer,
formative study";Improvement of navigation to source code entities by externalized mental models;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;1;;;;;;;;W;;;;
Fastdash: A visual dashboard for fostering awareness in software teams;Proc. of the Conf. on Human Factors in Computing Systems;2007;;1;1;;1;;;;;;;;;;;None;Awareness;Awareness (of the actions of other programmers) (Also: subjective satisfaction with tool);Coding of observations (using contstructed code scheme), Situation Awareness Rating Test (SART), (satisfaction questionnaire);Central to the study;;1;;1;;;;Demonstrates and validates a tool for increasing awareness among programmers working on the same code base. Shows that a tool can augment humans in group development work.;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
An empirical study of the effect of semantic differences on program comprehension;Proc. Int. Worksh. on Prog. Compr. (IWPC);2002;;;1;;1;;;;;;;;;;;None;(Program) comprehension;Program comprehension;Comprehension task (experiment);Central to the study;1;;;1;;;;Information on semantic differences between two programs influenced comprehension speed and accuracy.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;1;;;;W;;;;
Applying attention investment to end-user programming;Proceedings - IEEE 2002 Symposia on Human Centric Computing Languages and Environments, HCC 2002;2002;;;1;;;;;;;;;;;;;Attention Investment;Attention;;;improvement of end user programming;;;1;1;;;;;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Towards a framework for pattern experimentation: Understanding empirical validity in requirements engineering patterns;2012 2nd IEEE International Workshop on Requirements Patterns, RePa 2012 - Proceedings;2012;1;;;;;;;;;;;;;;;Category Theory;long-term memory;;;motivation for need of patterns;;;;;;;1;;1;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;W;;;;
EasyWinWin: Managing complexity in requirements negotiation with GSS;Proceedings of the Annual Hawaii International Conference on System Sciences;2002;1;;;;;;;;;;;;;;;Classification of sources for task complexity;Cognitive load;None;None;Marginally, as an applied concept, but not as a studied concept.;;;1;;;;;Reduction of cognitive load (in a team setting) by the tool/approach is speculation and only  backed by anecdotal evidence. Won't fight if we decide to exclude it.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Towards a theory of the comprehension of computer programs;International Journal of Man-Machine Studies;1983;;;1;;;;;;;;;;;;;;"Domain Knowledge
Comprehension";;;Explanation (1) why programs differ in comprehensibility, (2) how task differences affect comprehension, and (3)  why programmers differ in their ability to comprehend programs;;1;;;;1;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;J;;;;
Improving information requirements determination a cognitive perspective;Information & Management;2002;1;;;;;;;;;;;;;;;Requirements Determination Process Model;Cognitive Biases;"Ease of recall
Insensitivity of sample size
Insensitivity of base rates
Insufficient anchor adjustment
Overconfidence";Questions for each measure (Table 4);improvement of requirements determination by understanding human cognition and behavior;;;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;J;;;;
Object-Oriented Program Comprehension: Effect of Expertise, Task and Phase;Empirical Software Engineering;2002;;1;1;;;;;;;;;;;;;Mental Model Approach;"Knowledge structure
Mental representation
Comprehension";;number of correct responses to questions;Understanding of object-oriented program comprehension;1;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
 Conceptualizing systems for understanding: An empirical test of decomposition principles in object-oriented analysis;MIS Quarterly;2006;;1;;;;;;;;;;;;;;;Memory and problem solving (understood as factors that support the understanding of diagrams that model real world concepts);Task performance;Questionnaire and cloze test (fill in the blanks);Central to the paper;1;;;1;;;;;1;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;1;;J;;;;
Empirical analyses of the factors affecting confirmation bias and the effects of confirmation bias on software developer/Tester performance;ACM International Conference Proceeding Series;2010;;;;1;;;;;;;;;;;;;Cognitive biases, in particular confirmation bias.;11 quantitative metrics, based on a rule discovery task, that describe confirmation bias.;task based quantitative measurements;Central to the paper.;1;1;;1;;;;Note that this is a predecessor paper to Calikli2013.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;C;;;;
An Analysis of the Effects of Company Culture, Education and Experience on Confirmation Bias Levels of Software Developers and Testers;32nd International Conference on Software Engineering - ICSE 2010;2010;;;;1;;;;;;;;;;;;;Cognitive biases, in particular confirmation bias;Task performance;Wason's rule discorvery task and selection task (answered in a questionnaire);Central to the paper;1;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;C;;;;
Preliminary analysis of the effects of confirmation bias on software defect density;ESEM 2010 - Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement;2010;;;;;;;;;;1;;;;;;;Confirmation Bias;;Test based on Wason Selection Task and Wason Rule Discovery Task;Understanding of confirmation bias leading to issue that defects are overlooked and defect density increases;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;C;;;;
Empirical analyses factors affecting confirmation bias and the effects of confirmation bias on software developer/tester performance;5th International Workshop on Predictor Models in Software Engineering;2010;;;;1;;;;;;;;;;;;;Cognitive biases, in particular confirmation bias;Task performance;Wason's rule discorvery task and selection task (answered in a questionnaire);Central to the paper;1;1;;1;;;;Extension to Calikli2010, adding an analysis of the impact of confirmation bias on development and testing performance;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;W;;;;
Modeling human aspects to enhance software quality management;International Conference on Information Systems, ICIS 2012;2012;;;;;;;;;;1;;;;;;;Cognitive Biases;;;enhance software quality management, especially defect prediction, by cognitive bias measurement;;;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;C;;;;
 Influence of Confirmation Biases of Developers on Software Quality: An Empirical Study; Software Quality Journal;2013;;;;1;;;;;;;;;;;;;Cognitive biases, in particular confirmation bias;Task performance;Wason's rule discorvery task and selection task (answered in a questionnaire);Central to the paper;;1;;1;;;;This seems to be the most comprehensive paper in the series by Calikli on confirmation bias in testing. The metrics (25) to quantify confirmation bias, based on the tasks, are described here in detail. Use this paper to get details. The goal of the paper is to correlate cognitive bias metrics with defect rate metrics. They compared cognitive bias and static code quality measures as predictors for defects. There was no signitificant difference in prediction performance.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;J;;;;
Towards a metric suite proposal to quantify confirmation biases of developers;International Symposium on Empirical Software Engineering and Measurement;2013;;;;;;;1;1;;;;;;;;Wason's theories around selection and rule discovery;Confirmation bias;Wason's selection task, Wason's rule discovery task;Correlate with prediction and defect densities;Central to approach.;;1;;1;;;;Important work. Confirmation bias connected to defects and performance of groups.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;C;;;;
A Conceptual Model of Cognitive Complexity of Elements of the Programming Process;Information and Software Technology;1995;;;1;;;;;;;;;;;;;;Cognitive complexity and cognitive processes involved in reading and searching code (chunking and tracing) for program comprehension. Chunking is essentially enabled by memory and tracing is a function of knowledge.;None;None;Central to the paper;;;;;;1;;Cognitive Complexity Model for program comprehension based on chunking and tracing code. The paper suggests measures that ought to capture complexity of code, on the basis of cognitive processes.;1;;;;;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;J;;;;
A cognitive psychology approach for balancing elicitation goals;Proceedings of the 6th IEEE International Conference on Cognitive Informatics, ICCI 2007;2007;1;;;;;;;;;;;;;;;Learning Style Model;"Preferences for the following categories: sensing/intuitive, visual/verbal, active/reflective, sequential/global; preference can be strong, moderate, slight";Index of Learning Styles;Instrument with 44 questions with odd numbers between -11 and 11;Weighting people's evaluation according to their cognitive profiles, the profile is used to associate the cognitive profile and goals;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
Person-job cognitive style fit for software developers: The effect on strain and performance;Journal of Management Information Systems;2005;;;;;;;;;;;1;;;;;"Cognitive Style
Kirton adaption-innovation inventory (KAI)
Adoption-Innovation Theory";Cognitive Style Abilities;;5-point Likert Scale Questionnaire;cognitive measurement of strain and performance of software developers;;1;;1;;;;;1;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;J;;;;
Applied cognitive psychology in software debugging process to predict software reliability growth;IEEE International Conference on Industrial Engineering and Engineering Management;2014;;;;1;;;;;;;;;;;;;Cognitive Learning;"Learning Factor
Learning Effect";value assignment on continuous scale;refined reliability growth model;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
Forecasting software damage rate from cognitive bias in software requirements gathering and specification process;International Conference on Information Science and Technology, ICIST 2013;2013;1;;;;;;;;;;;;;;;Cognitive biases;"Cognitive biases:
- Anchoring
- Adjustment
- Availability
- Confirmation";Proxy statements for cognitive biases.;Questionnaire;Central to the paper;;1;;1;;;;Support for the hypothesis that specific cognitive biases (adjustment, confirmation, availability bias) influence the amount of errors in the software.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;C;;;;
The factors that affect the performance of open source software development – the perspective of social capital and expertise integration;Information Systems Journal;2011;;;;;;;;;;;1;;;;;Social captial theory;"Relational captial
Cognitive capital
Structural capital";Measures operationalising the three concepts;Survey with items assessing the three concepts;Provides conceptual framework (theory) for the study;;1;;1;;;;The study examined relationships between relational capital (commitment, reciprocity), cognitive capital (level of expertise, tenure), structural capital (centrality), the level of expertise integration, and output (task completion) and input (team size and effort) moderated by technical complexity and task interdependence. Regarding cognitive capital, the study found that its influence on expertise integration is not significant.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;1;;;;;;;;;;;;;;1;;J;;;;
Towards evidence-supported, question-directed collaborative program comprehension;Proceedings of the 2006 Conference of the Center for Advanced Studies on Collaborative Research, CASCON '06;2006;;;1;;;;;;;;;;;;;;Cognitive Comprehension Model, Mental Model;frequency of events;observational study;Link human and technical artifacts;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;;1;C;;;;
A cognitive load view and empirical test of collaboration network structure versus learning rates in new software development;International Journal of Innovation Management;2016;;1;;;;;1;;;;;;;;;Cognitive Load Theory;;learning rate;Effort per unit of output as a function of the produced volume;used to explain the learning effect measured by productivity, i.e., number of lines of code written per developer per month;;1;;1;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;J;;;;
Performance norms: An approach to rework reduction in software development;2012 25th IEEE Canadian Conference on Electrical and Computer Engineering: Vision for a Greener Future, CCECE 2012;2012;;;;;;;1;;;;;;;;;;Cognitive bias;No, qualitative study;;Not very clear how cognitive concepts affects the actual results. Mostly motivation for the study and its framing.;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;C;;;;
Mental Representations of Expert Procedural and Object-Oriented Programmers in a Software Maintenance Task;Journal of Human-Computer Studies;1999;;;;;1;;;;;;;;;;;theory of program comprehension (Pennington);Mental representations, program comprehension;Balance of domain-specific and programming-specific information in the mental representations participants had of a program at different points in time.;Two sets of yes/no comprehension questions. Counted the number of correct answers.;Central to the paper;1;;;1;;;;OO experts have an initial mental representation that focuses on domain knowledge, while procedural experts have an initial mental representation that includes domain and programming knowledge.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;1;;;;J;;;;
Assessing the understandability of UML statechart diagrams with composite states—A family of empirical studies;Empirical Software Engineering;2009;;;;;1;;;;;;;;;;;Cognitive Theory of Multimedia Learning (Mayer 2001);Comprehension;Understandability Effectiveness, Transfer, Retention;Questionnaires;Central to the paper;1;;;1;;;;"using composite states has a negative influence on
the understandability effectiveness (UEffec) of the diagrams,
Otherwise, no effect (suggests effects may be seen for more complex systems/diagrams).";1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;1;;;;J;;;;
Measuring the psychological complexity of software maintenance tasks with the Halstead and McCabe metrics;Transactions of Software Engineering;1979;;;;;1;;;;;;;;;;;;Psychological Complexity;"Reproduce functionally equivalent programs
Accuracy of implemented modification
Time taken";"Functional correctness of each reproduced statement
Comparison against a ""correct"" version (percentage of steps correctly implemented)";Central to the paper;1;;;1;;;;Psychological complexity is difficult to understand from complexity metrics alone and should account for the memory, information processing and problem solving capabilities of programmers.;1;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;J;;;;
A Field Study of the Software Design Process for Large Systems;Communications of ACM;1988;1;1;;;;;;1;;;;;;;;Behavioral model of software development;;;;Unclear. The theory forms the basis for the design of the study and analysis, but the same issues are likely to have emerged without it.;;1;;1;;;;Development of large software systems must be treated, at least in part, as a learning, communication and negotiation process. A number of issues are identified.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Towards a substantive theory of project decisions in software development project-based organizations: A cross-case analysis of IT organizations from Brazil and Portugal;2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015;2015;;;;;;;1;;;;1;1;;;;Cognitive biases;"Cognitive biases:
- Anchoring bias
- Exposure effect
- Hindsight bias
- Halo effect
- Planning fallacy
- Sunk-cost fallacy
- Availability-related bias
- Parkinson's law effect";Existence of each of the 8 biases. Elaboration of the occurrence of each of the 8 biases.;Qualitative analysis of interviews.;Central to the study;;1;;1;;;;An exploration of 8 cognitive biases in two organisations. An exploration of actions that were taken to support debiasing in at least one situation within these organisations.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;1;;;;;;;;C;;;;
Decision-making in software project management: A qualitative case study of a private organization;Proceedings - 9th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2016;2016;;;;;;;1;;;;;;;;;;Cognitive biases (availability, anchoring and adjustment) ;None;None;A part of the study looks at congnitive biases, but the focus is on describing decision making processes in project management.;;1;;1;;;;Borderline paper since congitive aspects are treated only superficially. The generated theory does not consider any cognitive bias described in the study.;1;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;;;;W;;;;
Knowledge restructuring and the acquisition of programming expertise;Journal of Human-Computer Studies;1994;;;1;;;;;;;;;;;;;Schema theory, Knowledge restructuring;Knowledge structures, Problem solving;Program memorization and recognition - probe items shown with yes/no question (did the item appear in the program);Response time in miliseconds. Frequency of errors;Central to the paper;1;;;1;;;;A model that emphasizes knowledge restructuring in the development of programming expertise.;1;;;;;1;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;;;W;;;;
A comparative study of three program exploration tools;IEEE International Conference on Program Comprehension;2007;;;1;;;;;;;;;;;;;;Mental workload;"(1) Subjective mental workload
(2) Focus
(3) Quality of task solutions";NASA Task load index (TLX);Central to the paper;;1;;1;;;;Software exploration tools had no effect on task performance. ;1;1;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
Creating a Cognitive Metric of Programming Task Difficulty;;2008;;;;;1;;;;;;;;;;;;Task complexity, cognitive load;Subjective mental workload;TLX (NASA Task load index);Central to the paper.;1;;;1;;;;The developed metric aims at predicting task complexity by analysing the structure of the code that needs to be understood. In other words, the metric measures the artifact, while TLX is used to measure the perceived mental workload. [If I understood the study correctly].;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
Data model comprehension: an empirical comparison of ER and UML class diagrams;Proc. 16th IEEE Intl. Conf. Program Comprehension (ICPC);2008;;1;;;;;;;;;;;;;;None;(Data model) comprehension;Data model comprehension;Comprehension task (experiment). Comprehension assessed as the harmonic mean of precision and recall.;Central to the study;1;;;1;;;;Investigated whether ER and UML diagrams improve data model comprehension. UML class diagrams significantly improved comprehension.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;1;;;;C;;;;
From requirements elicitation to variability analysis using repertory grid: A cognitive approach;2015 IEEE 23rd International Requirements Engineering Conference, RE 2015 - Proceedings;2015;1;;;;;;;;;;;;;;;Personal Construct Psychology theory;"Not sure what the cognitive concept is here (if one at all). The authors refer to ""repertory grid"" as a cognitive technique/approach.";None;None;Marginally, as an applied concept, but not as a studied concept.;;;1;;;;;Borderline paper. Uses ideas from cognitive psychology but there is no discussion/evaluation of cognitive aspects.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
From requirements elicitation to variability analysis using repertory grid: A cognitive approach;2015 IEEE 23rd International Requirements Engineering Conference, RE 2015 - Proceedings;2015;1;1;;;;;;;;;;;;;;Kelly's Personal Construct Psychology (which was basis for Repertory Grid);;;;CognPsych lead to an interview technique which is here proposed to be used for SE tasks. Connection to CognPsych unclear though.;1;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
A Systematic Approach for Developing Decision Aids: From Cognitive Work Analysis to Prototype Design and Development;International Conference on Information Systems, ICIS 2012;2016;1;1;;;;;;;;;;;;;;Cognitive Work Analysis;;N/A;None;Central but only a solution proposal with one worked example (which they call case study);1;;1;;;;;Interesting method but not strong on empirical method and not clearly focus on cognitive concepts or measures.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
"Using the ""Physics"" of notation to analyse ModelBuilder diagrams";International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM;2013;;;;;;;;;;;;;;;;Physics of Notation;"Cognitive Fit
Cognitive Integration";;;Improvement of cognitive quality of diagrams;;;1;;;;1;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;C;;;;
Critical evaluation of conceptual data models;International Journal of Accounting Information Systems;2005;1;1;;;;;;;1;;;;;;;;"Cognitive biases
Cognitive load";Choices made when interpreting entity-relationship diagrams;Tasks performed in an experiment setup;Central to the study;1;1;;1;;;;The study confirms the existence of a cognitive bias where system evaluators focus on structural constraints of entity-relationship diagrams and ignore surface semantics (e.g. relationship labels). The study demonstrates that this tendency can be debiased. The study indicates that optional entity participation should be carefully examined in model evaluation. The study indicates that large models should be decomposed before evaluation.;1;;;;;;;;;1;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;J;;;;
Vasco: A visual approach to explore object churn in framework-intensive applications;IEEE International Conference on Software Maintenance, ICSM;2012;;;1;;1;;;;;;;;;;;;Cognitive effort;Ability to find object churn (excessive use of temporary objects);Evaluation of proposed tool/method in selected tasks;Motivates the study;1;;;1;;;;The proposed tool/method was able to find instances of object churn. It could thus be used by developers to help them identify object churn.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Measuring Programming Experience;Proc. Int’l Conf. Program Comprehension (ICPC);2012;;;1;;1;;;;;;;;;;;None;Programming experience, (Program) comprehension;Programming experience, (Program) comprehension;Programming experience: Self-assessment, Years of programming, Education, Size of professional projects, Age. Program comprehension: Comprehension task (experiment).;Central to the study;1;;;1;;;;Self-assessment of programming experience reliably predicted comprehension task performance. A five-factor model of programming experience was constructed using factor analysis (experience with mainstream languages, professional experience, functional experience, experience from education, logical experience).;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;1;;C;;;;
Symbol choice and memory of visual models;Visual Languages and Human-Centric Computing (VL/HCC);2012;1;1;;;;;;;;;;;;;;"Symbols and their processing, memory; refers to working memory theory";Visual symbols, cognitive symbols, memory;Diagram recall;Recall task: verbal recall task, visual recall task: estimating symbol amount, visual recall task: recognising model changes;Central to the study;1;;;1;;;;Modelling langauge symbol choice significantly influences memory of visual aspects of diagrams (e.g. layout). No significant effect was found of symbol choice on semantic content recognition accuracy. Symbol choice is relevant for visual langauge design.;1;;;;;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;C;;;;
Using Sex Differences to Link Spatial Cognition and Program Comprehension;Proceedings of the 22nd International Conference in Software Maintenance (ICSM’06);2006;;;1;;1;;;;;;;;;;;Theories of program comprehension, spatial cognition, and sex differences in behaviour are synthesised into hypotheses.;Program comprehension , spatial cognition;Program comprehension, spatial cognition;Spatial comprehension task (experiment). Object memory test, object location test, (Silverman and Eals), mental rotation test (Vandenburg and Kuse).;Central to the study;1;;;1;;;;Shows evidence that similar cognitive skills are used for spatial cognition and program comprehension/development. The similarities are the result of sex-based differences in risk taking behaviour.;1;;;;;1;;;;;;;;;;;;;;;;1;;;;;;1;;1;;;;;;;;;;;1;;;;C;;;;
Cognitive Abilities and Computer Programming;EDRS(ED259700);1984;;;1;;;;;;;;;;;;;None;Cognitive processes;Spatial ability, Field Dependence/Independence, General reasoning or non-verbal intellect, Analytic versus holistic processing, Math skills, Programming abilities;"Spatial ability: Paper folding test, Surface development test, Form board test; Field Dependence/Independence: Hidden figures test; General reasoning or non-verbal intellect: Raven's progressive matrices (abbreviated form); Analytic versus holistic processing: Gestalt completion test; Math skils: test designed for the purpose; Programming abilities: tests designed to assess program generation and debugging ability and BASIC command and syntax knowledge";Central to the study;1;;;1;;;;"Illustrates the cognitive processes involved in programming. Many cognitive processes are involved, not just mathematical reasoning. Different processes are at work depending on the task. For programming, holistic processing is important, not just viewing individual statements. The opposite is true if one is concerned with syntax. The study shows a sign difference in the regression coefficient between general and mathematical reasoning for syntax although it is generally assumed that the two have a relationship; the reason is not understood. While mathematical reasoning is highly correlated with overall programming ability, is is relatively insignificant for the more fundamental aspects of programming, indicating that maths reasoning is related more closely to primary abilities than the other cognitive processes tested, or that the others are a foundation for mathematical reasoning.";1;;;;;;;;;;;;;;;;;;;;;1;;1;;;;1;;1;;;;;;;;;;;1;;;;C;;;;
Using psycho-physiological measures to assess task difficulty in software development;Proceedings - International Conference on Software Engineering;2014;;;1;;;;;;;;;;;;;Relationship between psychophysiological characteristics and cognitive load;;"Task difficulty
Cognitive load
Mental load
Arousal (cognitively determined)
Attention
Calmness";"Eye-tracking
Electrodermal activity
EEG";Central to the study;;1;;1;;;;The paper shows that using psychophysiological measurements for predicting task difficulty is promising.;1;1;;;;;;;;1;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;1;C;;;;
Developers’ Code Context Models for Change Tasks;Foundations of Software Engineering, FSE;2014;;;1;;1;;;;;;;;;;;;Program Comprehension;navigation measurement based on code navigation model;;deeper understanding of code change tasks;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;C;;;;
Support tool for design requirement elaboration;Applications of Artificial Intelligence in Engineering;1994;;1;;;;;;;;;;;;;;Rasmussen abstraction hierarchies;Cognitive work space;No systematically collected empirical support, they just describe their prototype.;None;Basic for design approach and thus for tool-;1;;1;;;;;Design approach and supporting tool based on abstraction/hierarchy concepts from cognitive problem solving theories.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;J;;;;
Reduction of cognitive load through the addition of high-level semantics to ReactoGraph;Proceedings - 2004 IEEE Symposium on Visual Languages and Human Centric Computing;2004;;;1;;;;;;;;;;;;;;Cognitive support for perception, attention and memory;Task performance;Think aloud protocol / Task completion duration;Central to the paper;1;;1;1;;;;Meta-contribution: paper on UI and cognitive load that is relevant for us since it addresses software development (a visual programming language).;1;1;;;;1;;;;1;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;;1;;;;C;;;;
Reduction of cognitive load through the addition of high-level semantics to ReactoGraph;Proceedings - 2004 IEEE Symposium on Visual Languages and Human Centric Computing;2004;;;1;;;;;;;;;;;;;Cognitive Load Theory;;None directly.;"Indirectly the think-aloud protocol was used to find problematic areas that could be argued to be ""cognitive"". Main quant measreument was normal UI use/completion times based on paper prototypes of the changed tool was used. Questionnaire also used to judge problems.";Quite central to the redesign of the tool that was done. But not used directly for measurements.;1;;;1;;;;Redesigned dev tool (visual progr lang for UIs);;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Programming plans and programming expertise;The Quarterly Journal of Experimental Psychology Section A;1988;;;1;;;;;;;;;;;;;;;errors (surface, control-flow, plan, interaction);;understanding of program plans and program expertise;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Measuring Improvements in Program Clarity;IEEE Transactions on Software Engineering;1979;;;1;;;;;;;;;;;;;;;Mental Effort;Halstead metrics are used to measure program clarity;Measurement of mental effort via Halstead metrics;;;;1;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Conditional Program Statement and Their Comprehensibility to Professional Programmers;Journal of Occupational Psychology;1977;;;1;;;;;;;;;;;;;;Cognitive process in program comprehension, in particular tracing;Task performance (problem solving speed and correctness);Evaluation of logically equivalent but different styles of conditional statements ;Given that this is published in a psychology journal, the paper discusses very little how the result from the experiment can be interepreted from a cognitive science standpoint.;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Cognitive dimensions of notations;People and Computers;1989;;1;1;;;;;;;;;;;;;Cognitive dimensions of notations. This paper is likely the origin of this theory. CD is an umbrella to discuss notational aspects with cognitive aspects. ;Perception of code structure, comprehension. Complexity of code. ;None;None;Central to the paper;;;;;;1;;Not sure if the paper should be in the review, but definitely important as a background paper. This is also a link paper between HCI and what we are interested in (see IC1b) as both usability of software AND the properties of notations for developing of software are discussed (the latter is however the main purpose).;1;;;;;;1;;;1;;;;;;;;;;;;1;;1;;;;;;;;;;;;;;;;;;;;;J;;;;
Usability analysis of visual programming environments: a ’cognitive dimensions’ framework.;Journal of Visual Languages and Computing;1996;;1;1;;;;;;;;;;;;;See Green1989. Also this paper does not talk about cognitive concepts per se which makes it difficult to extract this data. ;None in particular (although working memory is mentioned several times);None;None;Central to the paper;;;;;;1;;This is a much more comprehensive version of the 1989 paper.;1;;;;;;1;;;1;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;;;;;;;J;;;;
Adopting the cognitive complexity measure for business process models;Fifth IEEE International Conference on Cognitive Informatics;2006;1;;;;;;;;;;;;;;;;Cognitive complexity;Cognitive weight;None;Central to the paper;;;1;;;;;Cognitive weights are assigned to elements in Business Process Models (based on the idea from other work that did the same for programming control structures). There is however no evidence or connection between a weight and e.g. the mental effort to understand a BPM element. All weights are assigned by means of argumentation. ;1;;;;;;;;;1;;;;;;;;;;;;;;1;1;;;1;1;1;;;;;;;;;;;;;;;C;;;;
Approaches for business process model complexity metrics;Technologies for Business Information Systems;2007;;;;;;;;1;;;;;;;;;Cognitive complexity;Cognitive weight;None;Central to the paper;;;1;;;;;The paper discusses various factors that influence the complexity of BPMs (as used to describe software development processes), and theorises that the ease-of-use of such processes is related to their cognitive complexity.;1;;;;;;;;;1;;;;;;;;;;;;;;1;1;;;1;1;1;;;;;;;;;;;;;;;B;;;;
Breakdowns and processes during the early activities of software design by professionals;Empirical Studies of Programmers;1986;;1;;;;;;;;;;;;;;;cognitive limitations;;Think aloud protocol;Used for motivation and result interpretation. Unclear of the effect on study design;;;;1;;;;Study identifies a list of breakdowns during design, and classifies them into 3 categories: 1. limitations of domain knowledge, 2. cognitive limitations, 3. a combination of the two;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;1;;;;;;;B;;;;
When intuition and logic clash: The case of the object-oriented paradigm;Science of Computer Programming;2013;;1;;;;;;;;;;;;;;Dual process theory (slow and fast thinking, Kahnemann);Analytical and intuitive thinking;No, qualitative study;Task based, observations and interviews;Central to paper.;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;1;;;;;;;J;;;;
Why are some diagrams easier to work with? Effects of diagrammatic representation on the cognitive integration process of systems analysis and design;Transactions on Computer Human Interactions;1999;;1;;;;;;;;;;;;;;GOMS model of diagram integration;knowledge representation, diagrammatic representation;Integration performance data, behavior data;Number of design errors, analysis behavior graph;Central to the paper;1;;1;1;;;;"the way knowledge is decomposed
and organized through layout in diagrams does have an effect on the
manipulation task of process integration.";1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Computing Requirements: Cognitive Approaches to Distributed Requirements Engineering;Hawaii International Conference on System Sciences;2012;1;;;;;;;;;;;;;;;Theory of distributed cognition (Hutchin);;;;Central to the paper;;1;;1;;;;Distributed cognition and its role in information system design;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;C;;;;
Cognitive Architectures: A Way Forward for the Psychology of Programming;Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software;2012;;1;;;;;;;;;;;;;;Cognitive modelling;program comprehension, cognitive architectures;Cognitive complexity;;Central to the paper;1;;1;;;;;Paper recommends the ACT-R cognitive architecture and Cognitive Complexity Metric;1;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Does OO Sync with How We Think?;IEEE Software;1998;;;1;1;1;;;;;;;;;;;;"Cognitive fit
Cognitive complexity
Short-term memory
Long-term memory";Fitness of OO (C++) to human cognitive characteristics;None directly;Central to the argument;;;;1;;1;;Argues that OO (C++) is not a perfect fit cognitively. Evidence is given indirectly through a study of defects in an OO (C++) system over its lifetime.;1;;;;;;;1;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;M;;;;
Notation and nature of task in comprehending design rationale;Knowledge-Based Systems;2000;;1;;;;;;;;;;;;;;;Cognitive Fit;None;None. Dep vars are correct answers and response time. Also uses questionnaire to judge intuitiveness etc of different design rationaly formats.;Unclear, only used in base argument and partly in analysis.;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
The effectiveness of control structure diagrams in source code comprehension activities;IEEE Transactions on Software Engineering;2002;;;1;;1;;;;;;;;;;;;Program comprehension;Program comprehension;Program comprehension task;Central to the study;1;;;1;;;;Control structure diagrams can significantly enhance program comprehension in students.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;;;;1;;;;J;;;;
Web applications quality perception;Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010;2010;;;;;;;;;;1;;;;;;Gossen's law;Cognitive process assiciated with the perception of software quality.;None;None;Not much as little is discussed about the cognitive process of quality perception.;1;;;;;;;This paper is a precursor to Hoffmann2011, so maybe exlude (use the one which provides more value).;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
Behavioral economics in software quality engineering;Empirical software Engineering;2011;;;;;;;;;;1;;;;;;Software Quality Perception Model;"Observer's Mental State
Observer's Knowledge
Perception of Attributes";Personal Knowledge;Rating of quality aspects on scale with 11 values Likert scale;Subjective quality perception to investigate whether experience with previous versions influences the final version's quality assessment;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;J;;;;
Supporting cognitive work in software development workflows;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2013;;;;;;;;1;;;;;;;;;Cognitive Work Support Model;WHY, WHAT, HOW Level to identify cognitive issues;Interview with developers and managers;Make cognitive issues in software processes explicit;;1;;1;;;;;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Experimental analysis of the cognitive processes of program maintainers during software maintenance;Conference on Software Maintenance;1997;;;;;1;;;;;;;;;;;;Understanding;"Correct Answers
Elapsed Time";Video Camera used to find out how much time needed for moduls;Study of cognitive processes during maintenance;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;;;C;;;;
The processes involved in designing software;Cognitive Skills and Their Acquisition, Lawrence Erlbaum Associates;1981;;1;1;;;;;;;;;;;;;;"Software design process (as a human information-processing activity)
Problem-solving
Memory
Expert knowledge / Level of expertise (vs. novices)
Knowledge representation (Access to background knowledge, Episodic retrieval, Understanding of concepts, Understanding of implications";Holistic consideration of how experts and novices perform software design;Think-aloud protocols observing experts and novices performing software design;Central to the argument;1;1;;1;;1;;An outline of a theory of problem-solving in software design is given and discussed. Some validation is provided in terms of think-aloud observation of expert and novice software designers.;1;;;;;1;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;1;;;;;;;B;;;;
Identification of More Risks Can Lead to Increased Over-Optimism of and Over-Confidence in Software Development Effort Estimates;Information & Software Technology;2009;;;;;;;1;;;;;;;;;Cognitive heuristics and biases;"Illusion of control
Cognitive accessibility
The peak-end rule
Risk as a feeling";"Degree of optimism in effort estimates
Degree of confidence in estimation accuracy and project success probability";Effort estimation task;Central to the study;;1;;1;;;;The paper shows that identification of more risks can lead to increased optimism (lower estimate) and over-confidence in effort estimation.;1;;;;;;;;;;;;;;;;;;;;;;;1;1;1;;;;;;;;;;;;;;;1;;;;J;;;;
A framework for the pragmatic quality of Z specifications;International Journal of Software Engineering and Knowledge Engineering;2006;1;;;;;;;;;;;;;;;;Cognitive dimensions of notations, which is a framework for describing the utility of notational systems.;None;None;Central to the paper.;;;;;;1;;There is no evaluation on how/whether the described cognitive dimensions and their levels correlate with understanding/comprehensiveness of artifacts. ;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;J;;;;
Problem solving techniques for the design of algorithms;Information Processing and Management;1984;;;1;;;;;;;;;;;;;Problem Space Theory;Problem Space;;;Understanding of algorithm design;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;J;;;;
Understanding conceptual schemas: exploring the role of application and IS domain knowledge;Information Systems Research;2006;1;;;;;;;;;;;;;;;Cognitive fit (Vessey 1991);"Domain knowledge
Model comprehension";Conceptual schema (ER model) understanding;"Conceptual schema understanding task with blocked design and different kinds of conceptual schema as task material
Multiple-choice questions to assess understanding
Score in database course to assess level of expertise in IS domain";Central to the study;1;;;1;;;;The study found that 1) IS domain knowledge consistently affects problem solving on all types of schema understanding tasks, 2) the effect of application domain knowledge on problem-solving performance depends on the type of conceptual schema understanding task, and 3) no evidence to suggest that application domain knowledge has an effect on performance on tasks for which cognitive fit exists (i.e., tasks that involve extracting knowledge that is represented directly in the conceptual schema), but application domain knowledge does aid problem solvers in solving more demanding tasks.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;1;;J;;;;
A process model cognitive biasing effects in information systems development and usage;Information and Management;2001;;1;;;;;;;;;;;;;;;Cognitive biases;;;Central to the paper's theoretical analysis;;1;;;;1;;An overview of biases (both those by the designer and the user of an information system) that may impact various phases of information system development. A model that relates these biases to activities in those various phases.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;J;;;;
Making sense of project management - A case of knowledge management in software development;European Conference on Information Systems;2007;;;;;;;1;;;;;;;;;;Cognitive processes in knowledge management and sensemaking;None;None;Cognitive processes are central to the model;;1;;1;;;;"""The model explains knowledge management as a sensemaking process unfolding in the interaction
between collective and individual cognition.""";1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;C;;;;
Making sense of project management - A case of knowledge management in software development;European Conference on Information Systems;2007;;;;;;;1;;;;;;;;;;Cognitive processing (noticing, interpreting, enacting), Belief negotiation;None;None, it is a qualitative interpretation of a case study;Central to analysis and partly to study design since it defines a theoretical model used to analyse what was observed in a case, but also (implicitly) which data to collect.;;1;;1;;;;Model;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;C;;;;
A Cognitive Model for Complexity Metrics;International ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (ECOOP 2000);2000;;1;;;;;;;;1;;;;;;;"Short-term memory
Long-term memory";"identifier density
term density";chunking of text and text-based measurement;cognitive complexity metrics to estimate risks where errors occur;;;;;;1;;;1;;;;;;;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;W;;;;
Modeling comprehension processes in software development;Proceedings - 1st IEEE International Conference on Cognitive Informatics, ICCI 2002;2002;1;1;1;1;1;;;;;;;;;;;"Hierarchy of cognitive engagement (recognition->searching->memorizing->learning->creation). Not really a theory but a model of ranking comprehension tasks (based on cognitive effort).
Provides also a model of the factors that affect the comprehesion process.";Role of short and long-term memory, expert knowledge on program comprehesion and disucssion on how methods, tools and reference material can reduce the comprehension effort.;None discussed. Treated on a conceptual level.;None;Central to the paper.;;;;;;1;;See venue (1st conference on cognitive informatics). Paper reviews existing ideas and proposes a model of program comprehesion effort, discussing some of its factors.;1;;;;;;;1;1;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;C;;;;
Expert Program Solving Strategies for Program Comprehension;SIGCHI Conference on Human Factors in Computing Systems;1991;;;1;;1;;;;;;;;;;;;Program comprehension;process time;information used to complete tasks;better understanding of program comprehension aiming at cognitively adequate tool support;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;;;C;;;;
Learning software maintenance tasks in offshoring projects: A cognitive-load perspective;International Conference on Information Systems, ICIS 2012;2012;;;;;1;;;;;;;;;;;Cognitive Load Theory;Cognitive load;N/A;Qualitative analysis.;Central to paper.;;1;;1;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Learning software-maintenance tasks in the transition phase of offshore outsourcing projects: Two learning-theoretical perspectives;Lecture Notes in Business Information Processing;2012;;;;;1;;1;;;;;;;;;Cognitive Load Theory;"Learning Task
Supportive Information
Procedural Information
Part-Task Practice";;;Investigation of role of knowledge transfer in transition of offshore outsourcing projects;;;;;;1;1;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;W;;;;
User cognitive representations: The case for an object oriented model;Journal of Systems and Software;1998;1;1;;;;;;;;;1;;;;;;"object-oriented cognitive structures
user cognitive representations
cognitive economy";"response time
error rates";;Effect of cognitive structures on user performance;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;;;;;1;;;;J;;;;
SpecRefiner: Assistance for stepwise refinement of software development in the upstream process;Systems and Computers in Japan;2003;;;;;;;;1;;;;;;;;;Cognitive Load;Analytical Time;time measurement;reduce the cognitive load of analysis and design of a system by connecting expert knowledge and task-level knowledge seamlessly through the use of domain-oriented expert knowledge and task-level knowledge;;1;;1;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;J;;;;
UE dashboard: Awareness of unusual events in commit histories;2015 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, ESEC/FSE 2015 - Proceedings;2015;;;1;;1;1;;1;;;;;;;;;Awareness (of unusual events), task difficulty;1) difficulty, 2) criticality, and 3) typicality of selected tasks.;5-point scale rating;Indirect;;1;;1;;;;"""Unusual"" version control system events were found to correlate with developers' perception of task difficulty. The evaluated tool was found to be promising for helping awareness through automatic analysis of version control system events.";1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
Cognitive Processes in Program Comprehension;The Journal of Systems and Software;1987;;;1;;1;;;;;;;;;;;;Problem solving (understanding and modifying code);Type and frequency of utterances, such as inquiries, questions and conjectures.;Thinking aloud protocol;Central to the paper;;1;;1;;;;The paper has the lofty goal to design an artificial intelligence of a human programmer, in 1987. Still, the ideas are interesting and the developed mental model is based on observations of actual programmers.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;;;;J;;;;
Intent specifications: An approach to building human-centered specifications;Proceedings of the IEEE International Conference on Requirements Engineering;1998;1;1;1;;;;;;1;;1;;;;;;"Problem-solving
Problem representation (in cognitive psychology sense)
Mental models and strategies";;;Provides a frame for analysis and theoretical evaluation;;;;;;1;;This paper analytically develops an approach for constructing specifications that support human problem solving and tasks in software development and evolution.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;C;;;;
Intent specifications: An approach to building human-centered specifications;IEEE Transactions on Software Engineering;2000;1;1;;;;;;;;;;;;;;Rasmussen abstraction hierarchies;Intent abstraction;No systematically collected empirical support, they just talk about their own use of the method;None;Basis for specification approach.;;1;1;;;;;Specification approach. No empirical data though, they just claim it was practically useful when they applied. Amazing that this was TSE worthy in 2000. More than EC10 though since several cognitive constructs related to abstraction is central to approach. Still, no empirical data...;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;J;;;;
Modeling competencies for supporting work-integrated learning in knowledge work;Journal of Knowledge Management;2008;1;;;;;;;;;;;;;;;The competence performance approach;"Competencies (knowledge, skills, abilities)
Learning";"Derivation of a set of tasks
Derivation of needed competencies
Construction of competence performance structures";"Extracting data for the cognitive measures from content analysis of process documents
Interviews with experts
Expert judgement";Provides a framework for reasoning about the paper's topic and steer the study.;;;1;;;;;"A model that provides a mapping between the process, knowledge and competency spaces relevant to a given user. The model can be used to support users in their work tasks in various ways. Here, ""user"" is any knowledge worker, such as a person doing requirements engineering.";1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;1;;;;;;;;J;;;;
 A cognitive information processing and information theory approach to diagram clarity: A synthesis and experimental investigation;Journal of Systems and Software;1999;;1;;;;;;;;;;;;;;Information Theory, Cognitive Information Processing;Problem solving (understanding diagrams);Comprehesion and speed of comprehesion;Questionnaire;Central to the paper;1;;;1;;;;A LOT of theory on how to represent information in diagrams. Cognition is central, but evaluation is a bit unclear. ;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;1;;J;;;;
An experimental investigation of the effect of program structure on program understanding;Language Design for Reliable Software;1977;;;;;1;;;;;;;;;;;;program understanding, program comprehension;Program memorization and reconstruction, description of program function;Percentage of lines recalled correctly and in the original sequence;Central to the paper;1;;;1;;;;Paragraphing does not have an effect on the the ability to recall a program verbatim. Control flow does (according to one of the measures).;1;;;;;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Towards diagram understanding: a pilot-study measuring cognitive work-load through eye-tracking;International Conference on Human Behavior in Design;2014;1;1;;;1;;;;;;;;;;;;program comprehension,;cognitive workload;pupil dilation, fixations;Central to the paper;1;;;1;;;;Impact of layout quality on understanding. Connecting physiological measures (eye tracking) to cognitive processes.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;C;;;;
Human judgement and software metrics: Vision for the future;Proceedings - International Conference on Software Engineering;2011;;;;;;;1;;;;;1;;;;;Metacognition, Expert behavior, Expert performance, Human/cognitive bias;;None, it is a theoretical study / opinion paper arguing that Cognitive Psychology should be considered more.;Central to the papers proposal for a more holistic and interdisciplinary research approach for metrics.;1;;;;;;1;Proposes a different way to conduct metrics research;1;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;;;C;;;;
Cognitive processes in design;Journal of Man–Machine Studies;1980;1;1;;;;;;;;;;;;;;;Design Cycles;Originality, Practicality;Presence or absence of any feature present in any design;Central to the paper;1;1;;1;;;;The paper proposes a Customer-Designer model of software design and a set of aids to support such processes.;1;;;;;;;;;;;;;;;;;;;;;;1;1;1;;1;;;;;;;;1;;;;1;1;1;;1;;J;;;;
Knowledge organization and skill differences in computer programmers;Cognitive Psychology;1981;;;;;1;;;;;;;;;;;;organization of information;Program memorization and reconstruction, free-learning free-recall;"number of lines written verbatim, in the proper order, 
Reitman & Rueter recall algorithm";Central to the paper;1;;;1;;;;Correlation between expertise and particular mental organization of concepts ;1;;;;;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
A Cognitive-Based Mechanism for Constructing Software Inspection Teams;IEEE Transactions on Software Engineering;2004;;;;;;;;;;1;;;;;;;"Personality
Cognitive styles";"Personality
Cognitive style";"MBTI personality test
Inspection task";Central to the study;;1;;1;;;;The study results are inconclusive in terms of whether composing teams consisting of individuals with varying cognitive styles will yield more effective software inspection.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;;;;;1;;1;;J;;;;
Understanding a lack of trust in Global Software Teams: a multiple-case study;Software Process: Improvement and Practice;2008;;;;;;;;1;;;;1;;;;;Cognitive-based trust;Reasons and consequences of lack of cognitive-based trust;Perceived/experienced cognitive-based trust based on interviews;Central to the paper.;;1;;1;;; ;Identified key factors causing lack of trust, key consequences for lack of trust.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;J;;;;
Using traceability to mitigate cognitive biases in software development;Communications of the ACM;2008;1;1;;;;;;;;;1;;;;;Cognitive biases;"Anchoring
Adjustment bias
Availability bias
Confirmation bias";Understanding of system concepts under influence of different degrees of traceability;Analysis of talk-aloud protocols;Central to the study;;1;;1;;;;The paper shows that traceability can reduce cognitive bias (particularly anchoring).;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;1;;;;;;;J;;;;
Requirements Fixation;International Conference on Software Engineering;2014;1;1;;;;;;;;;;;;;;Fixation and framing effects;Cognitive bias;Design creativity;Subjective 5 point scale;"Framing desiderata as ""requirements"" (Product X shall support Y) decreases design innovation compared to idea fomulations (Product X might support Y).";1;;;1;;;;Initial investigation into a theory of the effect of framing of desiderata?;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;C;;;;
What makes a good diagram? Improving the cognitive effectiveness of diagrams in is development;Proceedings of the 15th international conference on information systems development (ISD 2006);2006;1;1;;;;;;;;;;;;;;;"Language/semiology of graphics
Visual perception
Working memory
Long-term memory
Gestalt laws of perception
Cognitive integration";None;None;Central to the argument;;;;;;1;;The paper presents various cognitive concepts that are at play when humans read visual diagrams (such as UML diagrams) and discuss their impact on how well the intended message in the diagram comes across. In other words, the article lays out principles for diagram usability for software development.;1;;;;;;1;;1;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Evaluating the visual syntax of UML: an analysis of the cognitive effectiveness of the UML suite of diagrams;Proceedings of the 1st international conference on software language engineering (SLE2008);2008;;1;;;;;;;;;;;;;;;"Cognitive effectiveness
Ontological analysis
Information theory
Semiology of graphics
Human graphical information processing";"Cognitive effectiveness:
Principle of semiotic clarity
Principle of perceptual discriminability
Principle of perceptual immediacy
Principle of visual expressiveness
Principle of graphic parsinomy";"Principle of semiotic clarity:
- Symbol redundancy
- Symbol overload
- Symbol excess
- Symbol deficit
Principle of perceptual discriminability:
- Visual distance
- Perceptual popout
Principle of perceptual immediacy:
- Symbols provide cues to their meaning
Principle of visual expressiveness
- The number of different visual variables
Principle of graphic parsinomy
- The size of the visual vocabulary";Central to the study;;;;;;1;;UML is evaluated in terms of a number of principles for cognitive effectiveness. Several flaws are demonstrated and improvements suggested.;1;;;;;;;;;1;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;C;;;;
"The ""Physics"" of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering";IEEE Transactions on Software Engineering;2009;;1;;;;;;;;;;;;;;;Cognitive effectiveness;Cognitive effectiveness;None;Central to the study;;;1;;;;;"A design theory (""the Physics of Notations"") is presented, consisting of principles that can be used to guide the construction of visual diagrams for software design. The theory is based on various theories related to cognitive aspects.";1;;;;;;;;;1;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Visual syntax does matter: Improving the cognitive effectiveness of the i* visual notation;Requirements Engineering;2010;1;;;;;;;;;;;;;;;Physics of Notations;Cognitive effectiveness;"Semiotic clarity
Perceptual discriminability
Semantic transparency
Complexity management
Cognitive integration
Visual expressiveness
Dual coding
Graphic economy
Cognitive fit";Analysis of each measure based on theory;Central to the study;;;;1;;;;An assessment of the visual i* goal-oriented modelling language. The assessment is based on a theory consisting of principles for cognitively effective visual notations (Physics of Notations). The results show that i* has serious notational flaws which could be improved by considering the theoretical principles.;1;;;;;;;;;1;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Program comprehension and implications of human navigational approaches;Proceedings - ICSEng 2011: International Conference on Systems Engineering;2011;;;1;;;;;;;;;;;;;Human navigation approaches;Spatio-temporal deficiencies, Spatial navigation skills;Visual memory capacity;Visual Memory (MV), Spatial Orientation (SO), Spatial Scanning (SS), and Visualization (VZ), Building Memory (MV-2), Map Memory (MV-3) tests were correlated with program comprehension test (questionnaire);Central to approach.;1;;;1;;;;Rather weak experimental results but some correlation is indicated.;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
Understanding the challenges faced by neurodiverse software engineering employees: Towards a more inclusive and productive technical workforce;ASSETS 2015 - Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility;2015;;;;;;;1;;;;1;;;;;;Neurodiverse employees (being on different spectra of autism) have different needs/skills. This has implications on the work environment.;No actual measures of nerodiversity are presented.;Survey with optional questions (questions not shown in paper). + Interviews;Central to the paper;;1;;1;;;;Implications are particularly interesting for human resource management, team formation, task assignment etc. ;1;1;1;1;1;;;;;;;;1;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;1;;C;;;;
Human-centric software engineering;Proceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010;2010;;1;1;;;;;1;;;;;;;;;cognitive load;;;Central to paper but paper is only an overview/position paper, no empirical data.;1;;;;;;1;Position paper with a few examples rather than lit rev.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;W;;;;
Comparing the effect of use case format on end user understanding of system requirements;Journal of Information Technology Research;2010;1;;;;;;;;;;;;;;;"Cognitive Load Theory
Dual Coding Theory";Knowledge acquisition, working memory, intrinsic and extraneous cognitive load;Model understanding (syntactic [surface] and semantic [deep]) by time to answer and accuracy;Multiple choice questions / identification of faults;Central to the paper;1;;;1;;;;"The study indicates that supporting the text description of a use case model with
diagram provides for better comprehension of the model semantics.";1;;;;;;1;;;;1;1;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Patterns of transition: The shift from traditional to object-oriented development;Journal of Management Information Systems;2008;;;1;;;;;;;;1;;;;;Cognitive fit theory;;"Developer mind-set: ""traditional"" or ""object-oriented""";Questionnaire with items assessing developer mind-set;Provides a general theoretical framework for the study;;1;;1;;;;The study explores the shift in mind-set as developers transition from traditional to object-oriented programming. The results show different areas that develop as developers gain experience with object-oriented programming, suggesting that the transition pattern is complex rather than binary. The study has implications for learning and the technology transition from traditional to OOP.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;1;;J;;;;
Its the psychology stupid: How heuristics explain software vulnerabilities and how priming can illuminate developers blind spots;ACM International Conference Proceeding Series;2014;;1;1;;;;;;;;;;;;;Heuristic-based decision making;Heuristics;N/A;Qualitative data collection (interviews) & analysis;;1;1;;1;;;;"Impressive work. New way to view secure sw vulnerabilities based on developers decision-making ""errors"". Empirically evaluated.";1;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;1;;;;;;;;C;;;;
Subvocalization – Toward Hearing the Inner Thoughts of Developers;IEEE International Conference on Program Comprehension, ICPC;2011;;;1;;;;;;;;;;;;;;subvocalisation;electrical signal emitted from muscle nerves;Electromyogram (EMG);deeper understanding of inner thoughts of developers;;;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;1;;;C;;;;
Programmer Information Needs after Memory Failure;IEEE International Conference on Program Comprehension, ICPC;2012;;;1;;;;;;;;;;;;;Informal theory on information needs and memory aids for different memory failures;"Prospective, attentive, associative, episodic, conceptual memory
memory aids (smart reminders, touch points, associative links, code narratives, memlets)";;;deeper understanding how to manage interruption when performing complex programming tasks;;;1;;;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Cognitive Heuristics in Software Engineering: Applying and Extending Anchoring and Adjustment to Artifact Reuse;Transactions on Software Engineering;2004;;1;1;;;;;;;;;;;;;;"anchoring
adjustment";extraneous, erroreous or omitted elements;performing of programming task and measurement of extraneous, erroreous and omitted elements;better understanding of successful reuse of software engineering artifacts;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Knowledge-related challenges and solutions in GSD;Expert Systems;2014;;;;;;;;;;;1;1;;;;Knowledge management;Knowledge;Knowledge-related challenges (in GSD);"Extraction from literature
Elicitation through surveys
Identification from cases";Central to the study;;1;;1;;;;The paper identified knowledge-based challenges in GSD and discusses how to overcome them.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;1;;;;;;;;J;;;;
Code architecture and open source software development;International Conference on Information Systems 2011, ICIS 2011;2011;;1;1;;;;1;;;;;;;;;;Cognitive cost;Cognitive cost;Project and code metrics;Marginal.;;;;1;;;;Tried to establish relationship between cognitive cost, coordination cost and code quality, but they did not really do it. Candidate for border paper.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;C;;;;
Stimulus Structures and Mental Representations in Expert Comprehension of Computer Programs;Cognitive Psychology;1987;;;1;;;;;;;;;;;;;;"Text structure knowledge
Plan knowledge
Program comprehension";comprehension errors;programming task;Role knowledge and cognition in comprehension;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Cognitive activities and levels of abstraction in procedural and object-oriented design;Human-Computer Interaction;1995;;1;;;;;;;;;;;;;;;Problem solving (developing a software design);Frequency of coded coded cognitive activities during design (9 categories);Thinking aloud protocol;Central to the paper;;1;;1;;;;Systematic and detailed.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;;;;J;;;;
 A glimpse of expert programmers’ mental imagery.;Proceedings of the 7th Workshop on Empirical Studies of Programmers;1997;;;1;;;;;;;;;;;;;;Problem solving and visualization;None;Thinking aloud protocol;Central to the paper;1;1;;1;;;;Not very good paper (compared to e.g. Pennington1995), but interesting as it picks up ideas that have not yet been discussed before (studying the audio-visual aspects of problem solving). Given the time when the study was conducted, think aloud protocols were likely the only means to study this, now we can use e.g. fmri. ;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;;;;W;;;;
 Mental imagery in program design and visual programming;International Journal of Human-Computer Studies;1999;;;1;;;;;;;;;;;;;;Problem solving and visualization;None;Thinking aloud protocol / Questionnaire;Central to the paper;1;1;;1;;;;This is an extension of Petre1997, adding a survey to the observational study. This paper reports on both studies.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;;;;J;;;;
Fear and distrust in global software engineering projects;Journal of Software: Evolution and Process;2012;;;;;;;1;;;;1;1;;;;;Cognitive-based trust;None directly;Qualitative analysis of interviews;Allowed researchers to distinguish cognitive-based trust from affective trust;;1;;1;;;;Improved understanding of the origins of distrust within and between development sites. Unfulfilled cognitive expectations on the part of people at the on-site location towards people at the off-site locations could result in lack of interpersonal trust (cognitive-based (dis)trust).;1;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;1;;;;;;1;;;;;;;;J;;;;
ScenIC: a strategy for inquiry-driven requirements determination;Proceedings of the IEEE International Conference on Requirements Engineering;1999;1;;;;;;;;;;;;;;;"Episodic Memory
Scenic Memory";;;;Inquiry in requirments determination similar to human brain;;;1;;;;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Toward a theory of debiasing software development;Lecture Notes in Business Information Processing;2011;1;1;;;;;1;1;;;1;;;;;Cognitive biases;Several cognitive biases;;;Central to the study;;;;;;1;;The paper proposes a theoretical framework of errors in software development and their relationship to cognitive biases. This could be a useful illustration although there is no empirical validation. (The theory is well developed and conceptually evaluated.);1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;C;;;;
Social theory for software engineering research;ACM International Conference Proceeding Series;2016;1;1;;;;;1;;;;1;;;;1;"Individual-level cognitive theories: Effectuation, Cognitive Biases
Group-level cognitive theories: Transactive Memory
Other theories: Actor-Network Theory, Complexity Theory, Sensemaking-Coevolution-Implementation Theory, Boundary Objects";Cognitive biases, Effectuation;The occurrence of phenomena in a software development project that can be explained by the various theories listed;Qualitative analysis of action research project;Provides explanatory theory for the study;;1;;1;;;;"Illustration of how cognitive / social theories can be used to explain phenomena in software engineering projects. With respect to effectuation, explains how part of the project used bottom-up reasoning, i.e. reasoning from ""what I have"" to ""what I can do with it"". With respect to cognitive biases, explains why project participants selected default options to implement certain requirements, leading the implementation to ignore the application domain and be suboptimal for use in that domain.";1;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;1;;;;;;;;;C;;;;
The role of the story master: A case study of the cognitive load of story management tasks;Proceedings of the Annual Hawaii International Conference on System Sciences;2011;1;;;;;;1;1;;;1;;;;;"Cognitive Load Theory
Cognitive Effort
Time Based Resource Sharing model of working memory (TBRS)";;"None directly
Indirect measures of experienced cognitive effort";Analysis of field notes from persons involved with the case project;Provides a framework for analysis;;1;;1;;;;"The study showed that having a ""story master"" on an agile team could reduce cognitive load for the customer, but with several caveats. The wider implication is that it may be possible to transfer cognitive effort from one person to another.";1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;C;;;;
How developers’ experience and ability influence web application comprehension tasks supported by uml stereotypes: a series of four experiments;Transactions on Software Engineering;2010;;;;;1;;;;;;;;;;;;Comprehension;Comprehension level;"Set of 12 open questions about the tasks, 
Post experiment questionnaire to measure clarity, artifacts comprehension, cognitive effects";Central to the paper;1;;;1;;;;Results indicate that subjects having different ability/experience achieved different performance and different levels of benefit by using stereotyped diagrams.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
The role of knowledge in software development;Communications of ACM;1999;;;1;;;;;;;;;;;;;;Knowledge representation;;;Central to the paper;1;;;;;1;;The paper identifies software development as the processing of knowledge and proceeds to describe several types of knowledge, together with representations and examples. ;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;J;;;;
How effective developers investigate source code: An exploratory study;Transaction on Software Engineering;2004;;;;;1;;;;;;;;;;;;Behavior;Quality of change,;"Artifact (code, notes, etc) correctness
Record of the actions taken (Inattention blindness, reinvestigation frequency)";Central to the paper;;;;1;;;;A qualitative analysis of the behavior of developers during a code change task and hypotheses built from that analysis.;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;J;;;;
The cognitive consequences of object-oriented design;Human-Computer Interaction;1990;;1;;;;;;;;;;;;;;;problem decomposition, chunking;;;Central to the paper;;;;;;1;;The paper argues for considering object oriented languages (any by extension software) from a psychological perspective. It speculates about the cognitive implications of OOD, and suggests direction for research.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;J;;;;
iTrace: Enabling Eye Tracking on Software Artifacts Within the IDE to Support Software Engineering Tasks;ESEC/FSE;2015;;;1;;1;;;;;;;;;;;;Cognitive thought process (as observed via tracking of eye gaze);Eye tracking;;Central to the study;;;1;;;;;The paper describes iTrace, a tool that automates labeling of eye tracking events with the semantic element that the gaze has been focused on in the Eclipse IDE. Only technical description is provided, no evaluation.;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;C;;;;
The role of cognitive fit in the relationship between software comprehension and modification;MIS Quarterly: Management Information Systems;2006;;;;;1;;;;;;;;;;;"Dual-Task Problem Solving
";Cognitive fit and problem solving;Program comprehension / task performance;Questionnaires / task completion scores;Central to the paper ;;1;;1;;;;Theory, hypotheses and validation;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;1;;J;;;;
A new measure of software complexity based on cognitive weights;IEEE Canadian Journal of Electrical and Computer Engineering;2003;;;1;;1;;;;;;;;;;;Cognitive informatics;"Cognitive weight of software (the degree of difficulty or relative time and effort required for comprehending a given piece of software modelled by a number of basic control structures)
Total cognitive weight of a software component (the sum of the cognitive weights of the basic control structures in the component)
Unit of cognitive weight of software (the cognitive weight of the simplest software component with only a single I/O and a linear basic control structure)
Cognitive functional size (a product of the sum of inputs and outputs and the total cognitive weight)";Cognitive functional size (cognitive complexity of source code);"Mathematical analysis; Real-time process algebra";Central to the study;;;;1;;;;The paper develops the cognitive functional size metric, which is claimed to measure the cognitive complexity of a piece of software source code. The paper demonstrates through mathematical case studies that the metric can be used to compare cognitive complexity and physical size of programs. No experimental validation with humans is included.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
An Empirical Study on the Efficiency of Graphical vs. Textual Representations in Requirements Comprehension;IEEE International Conference on Program Comprehension, ICPC;2013;1;;;;;;;;;;;;;;;;"requirements comprehension
textual and graphical representation";"efficiency in terms of right answers
effort spent to perform a task";Eye tracking;cognitive view on requirements comprehension;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;;1;C;;;;
An Empirical Study on the Comprehension of Stereotyped UML Class Diagram Layouts;IEEE International Conference on Program Comprehension, ICPC;2009;;1;;;;;;;1;;;;;;;;UML task comprehension;"accuracy
speed
confidence level";Online questionnaire;deep understanding of ULM stereotypes;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;1;;C;;;;
The Effect of Layout on the Comprehension ofUML Class Diagrams: A Controlled Experiment;Visualizing Software for Understanding and Analysis, VISSOFT;2009;;1;;;;;;;1;;;;;;;;Software comprehension;"accuracy
speed";;deep understanding of support that UML diagrams provide for software comprehension;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;;;C;;;;
An Eye Tracking Study on the Effects of Layout in Understanding the Role of Design Patterns;IEEE International Conference on Software Maintenance, ICSM;2010;;1;;;;;;;;;;;;;;;Cognitive effort;"accuracy
time
relevance
visual effort";Eye tracking;role of layout in understanding design patterns;1;;;1;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;C;;;;
An Eye Tracking Study on camelCase and under_score Identifier Styles;IEEE International Conference on Program Comprehension, ICPC;2010;;;1;;;;;;;;;;;;;;Code comprehension;"correctness
find time
visual effort";Eye tracking;deep understanding of the influence of naming conventions on code comprehension;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;1;;;C;;;;
Studying developer gaze to empower software engineering research and practice;Symposium on the Foundations of Software Engineering;2016;1;;1;;1;;;;;;;;;;;;Cognitive Effort;Eye gaze;Automatic measurement of eye movement with tool iTrace;application of eye gaze to provide innovative support to developers for software engineering tasks like code summarization and recommendation or continuous traceability ;;1;1;;;;1;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;C;;;;
Illustrating the cognitive consequences of object oriented system development;Journal of Systems and Software ;2001;;1;;;;;;;;;;;;;;;Cognitive activities relevant for Object Oriented design, such as problem understanding and decomposition, solution design;"short sentence or phrase generated by a par-
ticipant, prompted by a question related to object system complexity";Cognitive mapping with Self-Q technique (some sort of collective brainstorming technique were the participants themselves perform categorization);Central to the paper;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;1;;;;;;;1;;;;;;;;J;;;;
A position paper proposing behavioral solutions to challenges in software development projects;Lecture Notes in Business Information Processing;2015;1;;;;;;1;;;;;;;;;;Cognitive bias;;;Central to paper which summarizes two earlier empirical studies of the authors.;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;J;;;;
Can the outside-view approach improve planning decisions in software development projects?;Information Systems Journal;2016;;;;;;;1;;;;;;;;;Planning Fallacy (a cognitive bias);"Reference Information
Role Perspective";"Total Time Estimation
Number of Features Included
Number of Over-Required Features Included";"Measurement of estimation time
Counting of number of features";better understanding of planning fallacy, a cognitive bias referring to the tendency of people to underestimate costs and overestimate benefits in evaluating a task to be performed;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;J;;;;
Syntactic/semantic interactions in programmer behavior: a model and experimental results;International Journal of Computer and Information Sciences;1979;;;1;1;1;;;;;;;;;;;;"Short-term memory
Long-term memory
Working memory
Cognitive structure:
- Semantic knowledge
- Syntactic knowledge
Cognitive processes involving problem-solving:
- Program composition
- Program comprehension
- Debugging and modification
- Learning (acquisition of programming knowledge)";"Comprehensibility of programming structures
Program code recall
Effect of comments and variable naming on comprehension
Effect of modularity on program comprehension
Effect of flowcharts on program composition, comprehension, debugging, and modification";Experimental tasks;Central to the study;1;1;;1;;;;"The paper constructs a cognitive model of human programmers based on psychological theory and concepts. Experiments are presented that match with predictions derived from the model. However, it is not claimed that the model is final; more validating experiments are called for.";1;;;;;;1;1;1;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Engineering values: From architecture games to agile requirements;IEEE Software;2013;1;1;1;;;;;;;;;;;;;;Cognitive biases;;;;;;;;;;1;This is an editor's column discussing broadly cognitive biases, arguing for the importance of considering them. Anecdotal examples are given.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;M;;;;
 Graphical argumentation and design cognition;Human-Computer Interaction;1997;;1;;;;;;;;;;;;;;;Cognitive overhead (broken down into tasks: unbundling, classification, naming, structuring) when using a particular approach to record design rationales;None;None;Side aspect, but througout the paper;;;;1;;;;Borderline paper. It is about cognitive aspects when designing software but there is no assessment or concrete measures. Also, Study A in the paper, which is the most relevant, is better described in an other paper we don't include yet.;1;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Hypermedia support for argumentation-based rationale;Rationale Management in Software Engineering;2006;;1;;;;;;;;;1;;;;;Cognitive overhead;;;;Motivates the difficulties involved in recording design rationale.;;;1;;;;;The paper proposes a tool for helping to record design rationale.;1;;;;;;;;;1;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;B;;;;
When Parents Need Not Have Children — Cognitive Biases in Information Modeling;Advances Information System Engineering;1996;1;;;;;;;;;;;;;;;;cognitive biases;Interpretation task: choice of interpretation, confidence level, perceived familiarity with the domain;Confidence and percived familiarity self assessed (scale from 1 to 7);Central to the paper;1;;;1;;;;subjects were biased towards an intepretation based on syntactic information (rather than semantic) when this was available. The existance of structural constraints in the information model increases confidence level and perceived familiarity.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;C;;;;
Informational and Computational Equivalence in Comparing Information Modeling Methods;Journal of Database Management;2004;;1;;;;;;;;;;;;;;Human info processing, Herbert Simon's Theory of equivalence of representations;ACT architecture of types of memory;N/A;N/A;Central to paper.;1;;1;;;;;A new model for viewing modeling approaches in SE. Theoretical paper proposing the model, no empirical data.;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Technical communication in information systems development: the use of cognitive mapping;Transactions on Professional Communication;2005;1;1;1;;;;;;;;;;;;;;cognitive mapping techniques( causal, semantic, and concept mapping);;;Central to the paper;1;;1;;;;;Paper argues for the involvement of technical communicators in the development of information systems: acting as user advocates, writing online help and error messages, and providing advice on interface design. Three cognitive mapping techniques are introduced to facilitate the involvement of technical communicators in the devleopment process. ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Important characteristics of software development team members: an empirical investigation using Repertory Grid;Information Systems Journal;2010;;;;;;;1;;;;;;;;;;Cognitive Abilities;"Ability to make decisions
Learning Ability
Independence of work";;;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;J;;;;
Models of programmer behaviour: A comparative study;Proceedings - IEEE Computer Society's International Computer Software {\&} Applications Conference;1988;;;1;;;;;;;;;;;;;Text understanding theory (Hayes and Simon, 1974);Looks at 3 models of problem solving when designing an algorithm.;No real measures, but rather a classification of programmers activities in problem understading, solution formulation and elaboration based on the observed programmers' behavior.;None;Central to the paper.;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;;;;C;;;;
Toward Measuring Program Comprehension with Functional Magnetic Resonance Imaging;Symposium Foundations of Software Engineering;2012;;;;;1;;;;;;;;;;;;Program comprehension, Functional magnetic resonance imaging;Computing the output of code snippets;Correctness of output;Central to the paper;;;;1;;;;An fMRI experiment is proposed and designed. The experiment was ongoing at the time of writing.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;C;;;;
Understanding understanding source code with functional magnetic resonance imaging;Proceedings - International Conference on Software Engineering;2014;;;;;1;;;;;;;;;;;;Cognitive processes, identified by activation of certain areas in the brain (Brodmann areas). Processes activated by program comprehension are: working memory, attention, language comprehension.;Program comprehension;Brain area activation (fMRI);Central to the paper.;1;;;1;;;;Based on the empirical results showing which cognitive processes take part in program comprehension, a model is created which can be used to design support/improve program comprehension tasks.;1;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;C;;;;
Psychological evaluation of two conditional constructions used in computer languages;International Journal of Man–Machine Studies;1973;;;1;;;;;;;;;;;;;;"Memory (short-term)
Memory (load)
Miller & Chomsky model of (natural) language";Effectiveness of nested and branched conditional structure of programming languages among novices;"Controlled experiment comparing two synthetic mini-languages wrt. conditional structure
- Time taken to complete task
- Semantic errors in program solution";Central to the study;1;;;1;;;;The paper finds based on time taken to complete tasks and semantic errors in solutions that branched conditional (if-then-else) structures is more effective for novices than branched conditional (if-goto) structures. The paper furthermore demonstrates that the experimental method of designing synthetic mini-langauges with the desired features is an effective way of comparing programming language traits.;1;;;;;1;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Cognitive Fit: An Empirical Study of Recursion and Iteration;IEEE Trans. Software Eng.;1992;;;1;;;;;;;;;;;;;Cognitive fit;"Mental model (of control flow)
Problem-solving (different kinds of problem-solving models and methods)
Cognitive fit in recursion and iteration";Task and problem representation, control structure (recursion or iteration) use and preference, and their relationship to problem-solving performance;"Experimental tasks
- Choices made in task
- Time taken to complete task
Questionnaire on familiarity and preference of recursive/iterative solutions";Central to the study;1;;;1;;;;"The paper investigates several propositions regarding the relationship between task, problem representation (iterative or recursive), preference and use of control construct (iterative or recursive), and problem-solving performance. The paper finds that ""(i) the effects of programming language on subject performance were considerably stronger than cognitive fit effects; (ii) LISP appears to facilitate coding recursive constructs, while PASCAL and LISP appear to be equally effective in coding iterative constructs; (iii) performance effects of cognitive fit were present for LISP programmers, but not for PASCAL programmers; (iv) cognitive fit of problem representation to task had an effect on performance (in LISP programming) only when the construct and task were mismatched; and (v) performance also improved when subjects used their preferred programming constructs, although these effects appeared to be weaker than those due to cognitive fit"".";1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;1;;;;;;;;;;;1;;1;;J;;;;
Reusing business components and objects for modeling business systems: The influence of decomposition characteristics and analyst experience;Journal of Systems and Software;2015;;1;;;;;;;;;;;;;;Representation theory, Memory models;Cognitive fit, Chunk, Decomposition quality & granularity;Hard to tell really since the actual measures are SE/SW-internal but claimed to be clearly related to cognitive models;Measures on the models given as well as modeling performance (time etc);Argued to be central but I guess this can be discussed, the connection is on a quite theoretical level.;;1;;1;;;;Clear SE conclusions and result about how to better reuse models and architectures.;1;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Software requirements specification from a cognitive psychology perspective;;1988;1;1;;;;;;;;;;;;;;Cognitive memory models;Conceptual structures such as: Schemata, frames, scripts;N/A;Qualitative study that presents a theory of cognitive processes involved in ReqElicitation. Based on think-aloud protocols and observation of engineers solving early dev tasks.;Central to paper.;;1;;1;;;;Theory of cognitive processes in early sw dev;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
The effects of optimistic and pessimistic biasing on software project status reporting;Information & Management;2007;;;;;;;1;;;;;;;;;;Intentional biasing (of project status reports);Reporting bias (existence and reasons for);Survey;;;1;;1;;;;The paper investigates (intentional) reporting bias and causes for optimistic and pessimistic biasing. The study distinguishes this from reporting error. It finds that project managers tend to optimistically bias project reports and that only 10-15% of high-risk project reports seem accurate, and that accuracy is achieved only when pessimistic bias offsets reporting errors.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Cognitive Strategies and Looping Constructs: An Empirical Study;Comm. ACM;1983;;;1;;;;;;;;;;;;;;Cognitive fit (between programming language constructs and programmer's preferred cognitive strategy);"Which looping construct do people naturally use?
Relationship between preferred looping construct and program correctness
Relationship between language-provided looping construct and program correctness";"Experimental tasks
- Chosen looping construct in program planning task
- Chosen looping construct in programming task
- Analysis of correctness of programs
- Comparison of choices and correctness against provided language constructs and level of experience
";Central to the study;1;;;1;;;;"The paper investigates the preferred looping construct of student programmers and the looping constructs available in two almost identical programming langauges (Pascal and Pascal with a new looping construct). The paper asks what looping strategy people naturally use, whether their programs will be more correct when the language has a looping construct they prefer, and whether the provided looping construct influences program correctness. The paper finds that:
- there is a stronger preference for the READ/PROCESS looping strategy when planning a program (among those whose strategy could be determined),
- there is also a stronger preference for READ/PROCESS when implementing a program,
- a READ/PROCESS looping construct in the language is associated with fewer errors,
- people make fewer errors when they can use their preferred looping construct,
- errors, sensitivity to the provided looping construct, and preference for looping construct can vary with level of experience.
The paper implicitly attempts to generalise the findings regarding looping to cognitive strategies in programming in general.";1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;;;;1;;;;J;;;;
Empirical Studies of Programming Knowledge;IEEE Transactions on Software Engineering;1984;;;1;;;;;;;;;;;;;;Programming knowledge;"correctness
";task correctness;deeper understanding of programming knowledge;;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
A Cognitively-Based Methodology for Designing Languages/Environments/Methodologies;ACM SIGPLAN Notices;1984;;;1;;;;;;;;;;;;;;Cognitive fit;;;improvement of language design by reducing difficulty of specific concepts;;;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;J;;;;
Stress or-burnout relationship in software development teams;Journal of Occupational and Organizational Psychology;1994;1;1;1;1;1;;1;;;;;;;;;;Cognitive exhaustion;Stress and burnout;Questionnaires;Central to the paper and purpose of the study;;1;;1;;;;Not sure how to describe this... maybe a data point to a not yet formulated theory?;1;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;J;;;;
Cognitive Bias in Software Engineering;Communications of the ACM;1995;;1;;1;;;1;1;;;;;;;;;Cognitive bias;N/A;N/A;Central to paper. But it is a lit overview, not empirical.;1;;;;;;1;Overview of cognitive biases in SE.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Cognitive design elements to support the construction of a mental model during software exploration;Journal of Systems and Software;1999;;1;1;;;;;;;;;;;;;"Cognitive Design Elements
Program comprehension models (bottom-up program comprehension, top-down program comprehension, knowledge-based understanding model, systematic and as-needed program understanding strategies) ";"Cognitive design elements
Program comprehension
Cognitive overhead";;;support for design of software exploration tools;;;;;;;1;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;J;;;;
On the impact of layout quality to understanding UML diagrams;2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC);2011;1;;;;;;;;1;;;;;;;Cognitive load;;"Comprehension accuracy
Comprenehsion speed
Preference";Questionnaire (both objective observations and subjective assessment by participants);Central to the study;1;;;1;;;;"""Good"" UML diagram layouts were found to have a significant effect on cognitive load as measured by comprehension accuracy, comprehension speed, and preference.";1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
MOCQL: A declarative language for ad-hoc model querying;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2013;;1;;;;;;;;;;;;;;;Cognitive load;N/A;Not based on existing theory, participants subjectively assessed on 5-point Likert scale: Understandability, Effort, Confidence. Presumably Effort is most related to cognitive load?!;Unclear since measurements taken are not clearly connected to cognitive load;1;1;;1;;;;Quite superficial connection to cognitive load. Measures time taken and subjectively required effort.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
On the impact of size to the understanding of UML diagrams;Software and Systems Modeling;2016;1;;;;;;;;1;;;;;;;Gestalt laws;Cognitive load, cogntitive process;Cognitive load;Scale 1..5 for question difficulty and diagram difficulty. Measures are not so clear as questionnaire is not shown. Maybe in previous paper.;Not the main aspect of the paper;1;;;1;;;;This paper is borderline because it does not explain ANY of the performance measures (one of which is cognitive load) used in the experiment. The paper refers to a previous paper (Störrle2012) in which the experiment was conducted. If we include that paper, and there the measures are explained, we probably should exclude this one.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;J;;;;
An empirical study of factors that affect user performance when using UML interaction diagrams;2005 International Symposium on Empirical Software Engineering, ISESE 2005;2005;;1;;;;;;;;;;;;;;;Cognitive Style;;;cognitive style independent variable for user performance in using UML interaction diagrams;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;1;;;;;;;;;;;1;;;;C;;;;
Improving sequence diagram modeling performance: A technique based on Chunking, Ordering, and Patterning;Journal of Database Management;2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Software designers, are you biased?;Proceedings - International Conference on Software Engineering;2011;;1;;;;;;;;;;;;;;;Cognitive bias;N/A;N/A;Basis for review and discussion in paper.;1;;;;;1;;Discussion/review paper on indications that devlopers are biased.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;C;;;;
The effects of naming style and expertise on program comprehension;International Journal of Human - Computer Studies;1994;;;1;;;;;;;;;;;;;Pennington's Model of Program Comprehension;Program Comprehension;Understanding of Functions, Control Flow, Data Flow, State, Operations;Questionnaire on Program Comprehension;Understanding of program comprehension;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;;;J;;;;
Why software testing is sometimes ineffective: Two applied studies of positive test strategy;Journal of Applied Psychology;1994;;;;1;;;;;;;;;;;;;Confirmation bias;Proportion between test sets that use data that confirms/not confirms the test hypothesis;Task based;Side aspect, but througout the paper;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;J;;;;
 Cognitive activities in OO development ;International Journal of Human-Computer Studies;2001;;1;;;;;;;;;;;;;;;Cognitive activities related to problem understanding, decomposition and solution development;None defined;Cognitive mapping with Self-Q technique (development of a group cognitive map that was analyzed by givens means ends analysis) ;Central to the paper;1;;;1;;;;This is basically the same paper, authors reversed, published in two different venues, by Sheetz2001;1;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;1;;;;;;;1;;;;;;;;J;;;;
Analogy and complex software modeling;Computers in Human Behavior;1997;;1;1;;;;;;;;;;;;;Theories for human problem solving, Theories for memory retreival of similar situations;;;;Critical to the design of their tool, it is based on reuse by identifying analogies between old design/system and new one.;1;;;;;1;;Motivation for their project/approach.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Quality in Requirements Engineering (RE) Explained Using Distributed Cognition: A Case of Open Source Development;Working Papers on Information Systems;2011;1;;;;;;;;;;;;;;;Distributed cognition (Hutchins);Social, Structural, and Temporal distributed cognition;;;Central to the paper;;;;;;1;;The paper proposes a qualitative analysis of forums for open source projects from the perspective of distributed cognition. A coding schema is presented (with examples) but no results of such an analysis are mentioned.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Managing duplicated code with linked editing;Proceedings - 2004 IEEE Symposium on Visual Languages and Human Centric Computing;2004;;;1;;;;;;;;;;;;;"Green & Blackwell ""Abstract thinking is hard""";Cognitive cost;"Not really, indirectly measured via time to complete task and subjectively assessed ""Effort"".";Objective time measurement + Likert scale questionnaire.;Basis for proposed tool.;1;;;1;;;;New editing tool which aims to reduce cognitive load and indirectly seems to do it since some tasks are faster and regarded as requireing less effort.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;C;;;;
Computer programming and the human thought process;Software: Practice and Experience;1979;;;1;;;;;;;;;;;;;;;;;;1;;;;;1;;The paper appears to propose psychological foundations for the programming practice. No validation is attempted.;1;1;;;;1;1;1;1;;;;;;;;;;;;;1;1;1;1;1;;1;;1;;;;;;;;;;;;;;;J;;;;
Awareness 2.0: Staying aware of projects, developers and tasks using dashboards and feeds;Conference on Software Engineering;2010;;;;;;;1;1;;;;;;;;;;;;;;1;;1;;;;The paper mostly identifies the impact (especially benefits) of dashboards and feeds. There is no cognitive measure being assessed. Awareness is mentioned, but not measured in any way. ;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Designing Effective Program Visualization Tools for Reducing User's Cognitive Effort;Proceedings of ACM Symposium on Software Visualization;2003;;;;1;;;;;;;;;;;;;Cognitive economy: minimize cognitive load while maximizing information pertinent to the user problem.;None;There is some limited discussion about two experiments but it is unclear what the participants were and how many. Their task performance was evaluated, answering questions related to a program, but it is unclear what they had to do and what the questions were...;Central to the paper.;;;1;;;;;"Paper is not very clear about WHY they visualize program execution. Yes, for the user to do something, but WHAT? The only hint is how the keywords/CR categories of the paper: Testing and Debugging.

This is a borderline paper: a task, debugging, is supported by a visualization of program execution. The research is about how to make this visualization with low congitive load while informative. All design decisions are argumentatively tied to theory but there's little to no empirical evaluation.";1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;C;;;;
Gamifying software development environments using cognitive principles;CEUR Workshop Proceedings;2015;;;1;;;;;;;;;;;;;"Self Determination Theory
Theory of FlowGroup 
Flow Theory";;;;Cognitive principles provide basis for gamification;;;1;;;;;;1;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Extending the job design perspective on individual innovation: Exploring the effect of group reflexivity;Journal of Occupational and Organizational Psychology;2010;;;;;;;;;;;1;;;;;;Job design (esp. role of work and task characteristics for innovation activities);"Ideation
Implementation
Task complexity
Method control
Group reflexivity";Questionnaire;Central to the study;;1;;1;;;;This paper finds that job design has a positive effect on individual innovation. In teams, the positive effect of job control is augmented in the presence of high reflexivity, while task complexity is negatively associated with innovation in teams with high reflexivity. The study was performed with software developers and their managers as participants.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
The sky is not the limit: Multitasking across github projects;Proceedings - International Conference on Software Engineering;2016;;;1;;;;;;;;;;;;;;Cognitive cost;Multitasking;"Measreument of Average Projects Per Day to which Programmer commits
Reasons for multitasking
Productivity effects";;;1;;1;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;;;C;;;;
Expertise in debugging computer programs: a process analysis;Journal of Man–Machine Studies;1985;;;;;1;;;;;;;;;;;;Chunking. ;"Verbalization.
Chunking: debugging functions, flow of problem solving approaches. 
";"Time taken, number of words uttered, vebalization rate
Total time, time to error, number of major phases, number of episodes, avg time per episode
System thinking, depth-first search for error, order of investigated modules.";;;;1;1;;;;"The paper uses chunking, as interpreted by participant behavior when debugging, to indentify differences between experts and novices. The conclusions are that experts use breadth-first approaches and have a system view. They are also more proficient at chunking (concluded because of the ""smooth-flowing apporaches to problem-solving"".";1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;;;;;;;J;;;;
From program comprehension to tool requirements for an industrial environment;Proceedings of the 2nd Workshop on Program Comprehension;1993;;;;;1;;;;;;;;;;;;"Code comprehension
- Theory/model of code comprehension formed by combining existing theories/models and empirical results";Verification of proposed model of code comprehension;Think aloud protocol during code comprehension task with real industry code that participants were familiar with;"Central to the study
The study contributes to the development of the cognitive aspect (model of code comprehension)";;1;;1;;;;The paper investigates code comprehension. It constructs a model/theory of code comprehension based on several existing models/theories and empirical results. The integrated code comprehension model includes the components 1) Program Model, 2) Situation Model, 3) Top-Down Model (Domain Model), and 4) Knowledge Base. The first three are comprehension processes while the third is necessary for building the first three (the individual builds the three models in their mind). The paper validates the model by using a think-aloud protocol to observe industry practitioners performing code comprehension tasks on real industry code. The paper finds that participants worked on all three model levels and that switches between model levels can occur as the result of the maintenance engineer generating hypotheses regarding the code while trying to comprehend it. The paper proposes capabilities that tools should have to support comprehension.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;1;;;;;;;;1;;;;;;;W;;;;
Comprehension processes during large scale maintenance;Proceedings of the 16th International Conference on Software Engineering;1994;;;;;1;;;;;;;;;;;;"Code comprehension
- Theory/model of code comprehension by vonMayrhauser1993a";Verification of proposed model of code comprehension;Think aloud protocol during code comprehension task with real industry code that participants were familiar with;"Central to the study
The study contributes to the development of the cognitive aspect (model of code comprehension)";;1;;1;;;;The paper investigates code comprehension. It uses a model of code comprehension developed by the same authors (vonMayrhausen1993b). The paper validates the model by using a think-aloud protocol to observe industry practitioners performing code comprehension tasks on real industry code. The paper finds several episodes that consist of cognitive steps that participants take while navigating the code they are to comprehend. Differences and similarities between participants are described and discussed. The paper finds that 1. programmers use a multi-level approach to comprehension, frequently switching between comprehension models, 2. maintenance activities can be described by a distinct small set of cognition processes which aggregate into higher level processes, and 3. current practice of documentation and coding does not encourage efficient understanding because knowledge is compartmentalised by type of document without the cross-references needed to support programmers' cognitive needs. The paper derives information needs from the observations and proposes capabilities that tools should have to support comprehension.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;1;;;;;;;;1;;;;;;;C;;;;
On the Role of Program Understanding in Re-engineering Tasks;IEEE Aerospace Applications Conference;1996;;;1;;1;;;;;;;;;;;Code Comprehension Model;"Long-Term Memory
Knowledge Structure
Program comprehension
Cognitive load
Cognitive process";reengineering task frequencies;;program understanding to imporve reengineering tasks based on cognitive processes;;1;;1;;;;;1;;;;;;;;1;1;;;;;;;;;;;;;;;;;1;;;;;;;;;1;;;;;;;;;C;;;;
On the Role of Hypotheses during Opportunistic Understanding While Porting Large Scale Code;IEEE International Conference on Program Comprehension, ICPC;1996;;;1;;1;;;;;;;;;;;;"Program comprehension
Cognitive load
Cognitive process";task frequencies;;Investigation of importance of goals and hypotheses for program understanding;;1;;1;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;C;;;;
Identification of Dynamic Comprehension Processes During Large Scale Maintenance;IEEE Transactions on Software Engineering;1996;;;1;;1;;;;;;;;;;;Code Comprehension Model;"Long-Term Memory
Knowledge Structure
Program comprehension
Cognitive load
Cognitive process";;audio recording;understanding of comprehension processes during maintenance;;1;;1;;;;;1;;;;;;;;1;1;;;;;;;;;;;;;;;;;1;;;;;;;;;1;;;;;;;;;J;;;;
Program understanding behaviour during enhancement of large-scale software;Journal of Software Maintenance: Research and Practice;1997;;;;;1;;;;;;;;;;;Integrated Comprehension model (theory on how programmers try to understand code);Short/Long term memory, understanding process;There are no measures but the actions of programmers are classified and quantified in order to describe understanding process patterns.;Task based (protocol analysis of recorded actions performed by observed subjects);Central to the paper.;;1;;1;;;;This is a good example of task-based evaluation of cognitive processes. Based on the observed behavior, mapped to a model of program comprehension, descriptions of the cognitive processes are generated.;1;;;;;;;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;J;;;;
Program Understanding Needs During Corrective Maintenance of Large Scale Software;IEEE Computer Software and Applications Conference, COMPSAC;1997;;;1;;1;;;;;;;;;;;Code Comprehension Model;"Long-Term Memory
Knowledge Structure
Program comprehension
Cognitive load
Cognitive process";;audio recording;understanding of comprehension processes during maintenance;;1;;1;;;;;1;;;;;;;;1;1;;;;;;;;;;;;;;;;;1;;;;;;;;;1;;;;;;;;;C;;;;
Hypothesis-Driven Understanding Processes During Corrective Maintenance of Large Scale Software;IEEE International Conference on Software Maintenance, ICSM;1997;;;1;;1;;;;;;;;;;;Code Comprehension Model;"Long-Term Memory
Knowledge Structure
Program comprehension
Cognitive load
Cognitive process";;audio recording;understanding of comprehension processes during maintenance;;1;;1;;;;;1;;;;;;;;1;1;;;;;;;;;;;;;;;;;1;;;;;;;;;1;;;;;;;;;C;;;;
Observing and Measuring Cognitive Support: Steps Toward Systematic Tool Evaluation and Engineering;IEEE International Workshop on Program Comprehension, IWPC;2003;;;1;;;;;;;;;;;;;Distributed Cognition Theories;"Cognitive support
Program comprehension";;"screen recording software
activity recording";"Analysis of cognitive support
Insights into how programmers and tools cooperate";;1;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;;1;C;;;;
Using error abstraction and classification to improve requirement quality: Conclusions from a family of four empirical studies;Empirical Software Engineering;2013;1;;;;;;;;;;;;;;;;Cognitive errors;Errors and faults found (absolute amount and amount over time);Evaluation of proposed method in selected tasks;Central to parts of the study;1;;;1;;;;The paper contributes a formal requirement error taxonomy that helps developers identify errors and faults. The taxonomy is partly constructed based on cognitive psychology literature and includes errors that originate from cognitive errors (i.e. errors that arise due to limited information processing capabilities of humans). The error identification approach was found to effectively identify faults.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Evaluation of BehaviorMap: A user-centered behavior language;Proceedings - International Conference on Research Challenges in Information Science;2015;1;;;;;;;;;;;;;;;Cognitive load;Cognitive effort;Cognitive effort;"Questionnaire (NASA-TLX)
Time (duration)";Central to the study;?;?;;1;;;;The paper proposes a visual way to represent BDD stories. It shows that the visual representation is easier to understand than the corresponding BDD text, especially when the BDD story is more complex.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;C;;;;
Beacons in computer program comprehension;Journal of Man–Machine Studies;1986;;;;;1;;;;;;;;;;;"Data driven comprehension (Shneiderman & Mayer 1979; Basili & Mills 1982)
Conceptually driven (Brooks 1983)";Program comprehension;Beacons;"Memorization of a program and a one-sentence summary.
Ability to correctly identify function.
Number of beacon and non-beacon lines recalled.";;1;;;1;;;;The paper proposes that some lines (beacon lines) are more important to program comprehension. The beacon lines were identified by experimenter intuition.;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;J;;;;
The initial stages of program comprehension;Journal of Man–Machine Studies;1991;;;;;1;;;;;;;;;;;;"Program comprehension, 
Programming plans";Beacons;"Described program function (\w assessment of own confidence)
Program recall,
";;1;;;1;;;;Paper studies the link between beacons (and various deteriorated beacons) and comprehension.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;1;;1;;J;;;;
Visual support for version management;Applied Computing: Technological Challenges of the 1990's;1992;;;;;;1;;;;;;;;;;Cognitive load;;;;Provides a conceptual framework for the study;;;1;;;;;The paper discusses the factors contributing to cognitive burden that developers have when using version control systems and proposes a way to visualise files and version history in a way that the authors argue would help with this burden.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Human Factors Comparison of a Procedural and a Non-Procedural Query Language;ACM Trans. Database Systems;1981;;;1;;;;;;;;;;;;;;;Corectness of resulting programs;"9-point scale of correctness, 
final and retention exams";;1;;;1;;;;Students scored higher in exams when using procedural (rather than less procedural) languages.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;1;;;;J;;;;
Applying cognitive walkthroughs to more complex user interfaces: Experiences, issues, and recommendations;CHI;1992;;;1;;;;;;;;;;;;;"Exploratory learning
Learning by doing";Cognitive Walkthrough;;;;1;;;;1;;;The paper proposes cognitive walkthroughs and identifies challenges to their use. In addition, it issues recommendations on their application.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Cognitive differences between procedural programming and object oriented programming;Information Technology and Management;2005;;;1;;;;;;;;;;;;;;"Hemispheric brain dominance (hemisphericity)
Piaget's theory of cognitive development";"Cognitive hemispheric dominance
Level of cognitive development (Piaget)";"Hemispheric Mode Indicator
Propositional Logic Test";Central to the study;1;;;1;;;;Cognitive development level (measured by Propositional Logic Test, PLT) was significantly correlated with OOP grades, i.e. cognitive development level affects success in learning OOP. Cognitive style (measured by Hemispheric Mode Indicator, HMI) was not significantly correlated with OOP grades, i.e. cognitive style does not affect success in learning OOP. PLT and HMI were not correlated. The study thus indicates that cognitive development level is related to learning OOP while hemispheric dominance is not.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;1;;;;;;;;;;;1;;1;;J;;;;
Characteristics of the mental representations of novice and expert programmers: an empirical study;International Journal of Man.-Machine Studied;1993;;;;;;;;;;;1;;;;;;Several findings regarding the abstract characteristics of mental representations are discussed;"Abstract characteristics of mental representations of programs
- Hierarchically structured mental representations
- Explicit mappings between layers of the representation
- The use of recurring basic patterns for knowledge representation
- Well-connected representation enhancing understanding of how parts of the program interact
- Representations well-grounded in the program text enhancing the localisation of structures and operations";"Experimental task
- Reading a 135 line Pascal program.
- Answering questions that investigate the five abstract characteristics.
- The questions ask the participant to, e.g. match procedure names to the procedures they call, listing procedure names, writing descriptions of goals (of procedures and entire program), labelling code segments, listing names used for the same data objects in different program units, listing important variable names, filling in names of program units in a program outline, matching variable names to procedures where they occur, and indicating physical location of invariant program parts.
- Evaluation of questions/task results by two independent judges.";Central to the study;1;1;;1;;;;The paper investigates five characteristics of mental representations of programs in novice and expert programmers. In the study, participants read a short program and then have to perform tasks that each tries to elicit whether their mental representation has a certain characteristic. For example, two questions try to determine whether the participants have a hierarchical, layered structure (the stimulus program had a clear hierarchical, layered structure in the form of nested procedures and functions). The performance on each question was evaluated by two independent judges. The results indicate that the five abstract characteristics exist in the mental representations of expert programmers but novice programmers do not show them to the same degree. Several detailed findings and discussion is given in the paper.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Giving design advice;IEEE Software;2007;;1;;;;;;;;;;;;;;;Cognitive biases;;;role of cognitive biases in communicating design advices;;;;;;;1;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;M;;;;
On evaluating the layout of UML diagrams for program comprehension;Softw. Qual. J.;2006;;;;;;;;;;;1;;;;;"Theories of perception
Theories of perceptual organisation
Theories of perceptual segregation";"(Visual) perception
- Cognitive functions as filters on raw visual stimuli (Marr, 1982)
- Attention shifting based on structure of environment (Gibson, 1979)
- Gestalt theory (Benjafield, 1992; Moore & Fitz, 1993)
- Theory of notation (Petre, Blackwell & Green, 1998)
Perceptual organisation (Boff, Kaufman & Thomas, 1896)
- Law of good figure (Prägnanz, Schiffman, 2001)
- Law of similarity
- Law of continuation
- Law of proximity
- Law of connectedness
- Law of familiarity
Perceptual segregation (Goldstein, 2002)
- Law of symmetry
- Law of orientation
- Law of contour (Kimchi, Berhmann & Olson, 2003)";Several criteria for assessing the different aspects of visual perception, perceptual organisation, and perceptual segregation in UML diagrams;Judgement based on the criteria;Central to the study;;;;;;1;;This paper discusses visual perception and how it impacts UML diagrams. It systematically develops a set of guidelines for creating good UML diagrams. It then evaluates two tools using the guidelines, illustrating how the goodness (from the perspective of visual perception) of UML diagrams created using the tools can be assessed. The study shows that the tools are good but points to improvement areas where they could be even better.;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;1;;J;;;;
'Computing' requirements in open source software projects;International Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design;2013;1;;;;;;;;;;;;;;;Taxonomy of Cognitive Functions;Cognitive Workload;Cognitive Functions including Computation, Problem Sovling, Perception, Communication, Decision Making, Memory;;Measurement of distribution of cognitive workload to define suitable countermeasures;;1;;1;;;;;1;;;;;1;;;;;;;;;;;;;;;;1;1;;1;;;;;;;;;;;;;;;;;;;;C;;;;
Idea: Interactive support for secure software development;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2011;;;1;;;;;;;;;;;;;Cognitive Load;"skill-based breakdown,
rule-based breakdown,
knowledge-based breakdown";;Program Errors;Linking program errors and cognitive aspects;;;;1;;;;;1;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;;;C;;;;
Programming expertise during incremental software development: An empirical study;Studies in Computational Intelligence;2010;;1;1;1;;;;;;;;;;;;;Expertise, Cognitive activity complexity;Bloom's taxonomy of cognitive levels;Classify activities of programmers using Bloom's taxonomy;Central to paper.;1;;;1;;;;Clear cognitive differences in how expert and novice programmers design, program, and test.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
Design benchmarks for VPL static representations;IEEE Symposium on Visual Languages, Proceedings;1996;;;1;;;;;;;;;;;;;;Cognitive dimensions (whereby it is not clear what these dimensions are, the paper is short);Several proxy measures on the presentation of visual programming languages;None;Central to the paper;1;1;;;;1;;Very short paper, small empirical study with students/professionals.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Assessing the Comprehension of UML Class Diagrams via Eye Tracking;IEEE International Conference on Program Comprehension, ICPC;2007;;1;;;;;;;1;;;;;;;;Class diagram comprehension;fixations;"eye tracking
audio recording";comprehension of UML class diagrams;1;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;1;;;C;;;;
Adoption of reverse engineering tools: A cognitive perspective and methodology;Proceedings - IEEE Workshop on Program Comprehension;2001;;;;;1;;;;;;;;;;;;Cognitive load, working memory capacity;None;None;Central to the paper;;1;1;;;;;Analysis of an SE task (corrective maintenance), identifying cognitive taxing activities, and the design of a software solution to provide support in these activities.;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Complexity is in the brain of the beholder: A psychological perspective on software engineering's ultimate challenge;Journal of Software;2013;;;1;;1;;;;;;1;;;;;Cognitive load;Working memory;Identification of cognitive overload;Observation;Central to the study;;1;;1;;;;The paper describes a tool for reducing cognitive load during program comprehension. It also provides theory regarding how working memory and cognitive load might be used to understand complexity in software development.;1;;;;;;1;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;J;;;;
Impact of software complexity on development productivity;International Journal of Software Engineering and Knowledge Engineering;2012;;;;;;;1;1;;;;;;;;Cognitive learning theory, Yerkes-Dodson law, theory of activation;;Measures are non-cognitive: productivity (Loc/hour) and complexity (5-point likert scale);;Important to motivation and basis for the study but not essential. The same study could have been done without the cognitive connection imho since measures are not cognitive per se.;;1;;1;;;;Support for productivity/complexity curve being inverted U-shaped and thus there are complexity bounds between which one needs to stay to have high productivity.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Developer fluency: Achieving true mastery in software projects;Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering;2010;;;;;;;1;;;;;;;;;;"Not sure if developer fluency is a cognitive concept. It is defined as:  the ability to complete project tasks
rapidly and accurately independent of task difficulty or importance.  ";Developers' learning curves;"Quantitative measures on task performance extracted from source control, bug reporting and human resources systems

Qualitative estimates of task difficulty and centrality (importance)";Marginally touched upon, but not the focus at all.;;1;;1;;;;"Separating dimensions of developer expertise, finding ways to measure
them, and quantifying the learning curves that describe how each type of expertise is acquired. ";1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;1;;;;C;;;;
Abstraction and analogy in cognitive space: A software process model;Information and Software Technology;1997;;;;;;;;1;;;;;;;;Cognitive Space Model;"Cognitive Space
Knowledge content
Cognitive growth";;;integration of cognitive and development process to enhance developers' cognitive skills;;;1;;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;;;J;;;;
Workflow- and agent-based cognitive flow management for distributed team Cooperation;Information & Management;2003;;;;;;;1;;;;1;;;;;Cognitive Flow Model;"Cognitive flow
Cognitive node";;;"improvmement of distributed team cooperation, duration of task,
match degree of team";;;;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Assessing the impact of hierarchy on model understandability - A cognitive perspective;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2012;;1;;;;;;;;;;;;;;Cognitive Load Theory;"Cognitive problem solving processes: search, recognition and inference

Working memory and mental effort";Model understandability, estimated by time to answer and accuracy;Questions about model;Central to the paper;;;;;;1;;The opposing forces of abstraction and split-attention effect: the more abstract a model, the more context switching is necessary. Hence, abstractions (high/low) are a trade-off.;1;;;1;;;1;;;1;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;C;;;;
Engineering human-in-the-loop interactions in cyber-physical systems;Information and Software Technology;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Sustainable Decision-Making Module: Application to Public Procurement;Journal of Civil Engineering Education;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Extracting core answers using the grey wolf optimizer in community question answering;Applied Soft Computing Journal;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The design of an equipment induction maintenance system based on AR technology;IOP Conference Series: Earth and Environmental Science;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Known and unknown requirements in healthcare;Requirements Engineering;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Quantitative evaluation of tailoring within SPICE-compliant security-informed safety-oriented process lines;Journal of Software: Evolution and Process;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
It is about time: Bias and its mitigation in time-saving decisions in software development projects;International Journal of Project Management;2020;;;;;;;1;;;;;;;;;;Time-saving bias;Decision accuracy for a resource allocation task;Solving decision tasks in resource allocation scenario;Central to the paper;1;1;;1;;;;"The paper shows the existence of time-saving bias among student and professionals in a resource allocation task. The paper also shows that the effect can be altered by the information available and that it is more common in Agile settings.
";1;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;1;1;;;;J;;;;
Applying Distributed Cognition Theory to Agile Requirements Engineering;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2020;1;;;;;;;;;;;;;;;Distributed Cognition Theory;"cognition
cognitive effort
reasoning";Cognitively significant aspects of the ARE process;"Distributed Cognition Analysis
analyzed in terms of significant cognitive goals
(using DiCoT framework)";central to the paper, theory is applied to Agile RE;;1;;1;;;;Paper provides evidence that Agile methods in RE (re quirements prioritization) are effective. It is carried out with the application of DC-theory, which analyzed cognitive aspects;1;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;1;;;1;;;;;;C;;;;
On Cognitive Biases in Requirements Elicitation;Studies in Computational Intelligence;2020;1;;;;;;;;;;;;;;;;Cognitive biases;Occurrence rate of cognitive biases in requirement eliciation report;Students perform design task involving requirements elicitation and have to return a report on their decisions. Five judges with different backgrounds perform subjective ratings of biases observed in these reports (Angoff Method).;Central to the paper;1;;;1;;;;Within requirements elicitation, this paper identified which cognitive biases are most and which least likely to occur out of a set of eight cognitive biases. The paper also names negative influences of the cognitve biases on requirements elicitation.;1;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;;;;;;;1;;;1;;J;;;;
Application of quality in use model to assess the user experience of open source digital forensics tools;International Journal of Electronic Security and Digital Forensics;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Online Sales System to Be Managed by People with Mental Illness;Advances in Intelligent Systems and Computing;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Refinement type contracts for verification of scientific investigative software;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Impacts of computer game concept formulation on project development processes: a FIOWA explorative case study;Journal of Ambient Intelligence and Humanized Computing;2020;;;;;;;;;;;1;;;;;Fuzzy OWA (For the research calculations);To see if cordination and cooperation incresaes by shared concept formulation during development period - using Team Mental Models ;Team performance, coordination and communication ;Case study on a game development company;;;1;;1;;;;Incorporation of Team Mental Models for the software development processes of game development - leading to more succesful development teams;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;1;;1;;;;;;;;1;;J;;;;
Augmented reality and human factors regarding the neurosurgical operating room workflow;Proceedings of SPIE - The International Society for Optical Engineering;2020;;;;;;;;;;;;;;;;; ; ; ; ; ; ;; ;;;; ; ;;;;;;;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;;;;;;;
Tool support for validation of formal system models: Interactive visualization and requirements traceability;Electronic Proceedings in Theoretical Computer Science, EPTCS;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving the identification of functional system requirements when novice analysts create use case diagrams: the benefits of applying conceptual mental models;Requirements Engineering;2019;1;;;;;;;;;;;;;;;;Conceptual mental model;Quality of models produced;Task-based evaluation;Understanding of users' mental models is assumed to improve capture, analysis, and definition of functional system requirements;1;;;1;;;;The paper shows that including a visualisation stage, where requirements analysts unpack their understanding of the users' mental models, improves analyst performance and results in better user-centred design in the requirements.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;;;;;1;;;;J;;;;
Analysis of multitasking in divided attention using machine learning;2019 IEEE Conference on Information and Communication Technology, CICT 2019;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Library adoption in public software repositories;Journal of Big Data;2019;;;1;;;;;;;;;;;;;;cognitive effort;"cognitive activities
cognitive effort
information adoption";modelling the use of Git activities;central to paper;1;1;;1;;;;Paper finds that library adoption, and other Git events (merge, pull, commit) requires cognitive activities. This implies higher cognitive effort and it results in temporary changes in behavior.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;J;;;;
Autism: Implications for Inclusive Education with Respect to Software Engineering;Proceedings of the 8th Computer Science Education Research Conference;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Developing software beyond customer needs and plans: an exploratory study of its forms and individual-level drivers;International Journal of Production Research;2019;;1;;;;;1;;;;;;;;;Tripartite model of individual attitudes (social psychology): Cognitive, affective and behavioural traits. Along with Dual Processing theory.;Cognitive style (rationality vs. intuition), emotional attachment, reliance on past experiences (knowledge).;Tendencies to beyond needs excess (BNE) and beyond plans excess (BPE) together with strength of the mentioned cognitive concepts.;"Web-based questionnaire avoiding biases (i.e. not drawing respondents' attention to target of study), containing multiple items with descriptions that serve as indicators for BNE or BPE, and the mentioned cogn. concepts. Answers: 7-point Likert scales measures from ""strongly disagree"" to ""strongly agree"".";Central to the paper;;1;;1;;;;Results support distinction between BNE and BPE. Paper indicates that there are different manifestations of BNE (feature-driven vs. one-size-fits-all BNE) and calls for reasearching this proposed twofold conceptualisation of BNE. It closes with several propositions on impact of the discussed cognitive phenomena.;1;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;1;;;;;;;;;;;1;;;1;;J;;;;
Spotting Problematic Code Lines using Nonintrusive Programmers' Biofeedback;2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE);2019;;;;1;;;;;;;;;;;;;Cognitive Load of programmers during coding (reading and assesment);Mental and cognitive state, code comprehension and cognitive load.;Pupillography and heart rate variability (HRV) of selected programmers on task performance of various complexities;Code annotation on particular lines of code.;;1;;1;;;;To improve the human error rate in software testing and code comprehension.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;C;;;;
Developing and Evaluating Learning Materials to Introduce Human Error Concepts in Software Engineering Courses: Results from Industry and Academia;2019 IEEE Frontiers in Education Conference (FIE);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
How prior knowledge affects problem-solving performance in a medical simulation game: Using game-logs and eye-tracking;Computers in Human Behavior;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Visualization to Reduce the Cognitive Load of Threshold Concepts in Computer Programming;2019 IEEE Frontiers in Education Conference (FIE);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Optimization Model for Development of Digital Interactive Exercises for Cognitive Rehabilitation;2019 Congreso Internacional de Innovaci{\'o}n y Tendencias en Ingenieria (CONIITI );2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Virtual Training and Ergonomics Evaluation System for Industrial Production Safety Based on Visible Light Communication;International Conference on Communication Technology Proceedings, ICCT;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Remedial Training with Learning Objects to Reduce Dyslexia in Children;Proceedings - 2019 International Conference on Inclusive Technologies and Education, CONTIE 2019;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Workshop: Visual programming as a bridge to textual programming: Managing an integrated Web course with automatic assessment;Proceedings - Frontiers in Education Conference, FIE;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
ADORE: An Adaptation-Oriented Requirement Modeling Approach for Systems of Systems;Proceedings of the XXXIII Brazilian Symposium on Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the Validity of Ground Truth in Code Reviewer Recommendation Studies;2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Associating working memory capacity and code change ordering with code review performance;Empirical Software Engineering;2019;;;;;;;;;;1;;;;;;;Working memory capacity, cognitive and mental load.;Efficiency and effectiveness in defect detection, working memory capacity.;Browser-based experiment, where participants have to solve three code review tasks and answer understanding questions. Additional defects had been seeded to code and different ordering of code change-parts investigated. Extra test to assess working memory capacity.;Central to the paper;;1;;1;;;;Moderate association between working memory capacity and the effectiveness of finding delocalised defects. Confirmed: larger code changes --> lower code review effectiveness. Possible: effect of change part ordering (but no statistical significance reached).;1;;;;;1;1;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;1;;J;;;;
A controlled experiment on time pressure and confirmation bias in functional software testing;Empirical Software Engineering;2018;;;;1;;;;;;;;;;;;;Confirmation bias (time pressure).;Confirmation bias and the effect of time pressure in software testing procedures through number of consistent test cases (c), number of inconsistent test cases (ic), temporal demand.;Subjects design functional tests, researcher classify these test cases to assess confirmation bias. Questionnaire (NASA TLX) for assessing temporal demand via perceived task difficulty.;Central to the paper.;1;;;1;;;;Although it was seen that participants tend to design conformatory tests rather that disconfirmatory ones, overall no apparent change in biases with added time pressure. ;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;1;;1;;J;;;;
Brainwave activity and cognitive performance investigated by meditation yoga;Proceedings of the 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2019;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Creating synthetic patient data to support the design and evaluation of novel health information technology;Journal of Biomedical Informatics;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparing the influence of using feature-oriented programming and conditional compilation on comprehending feature-oriented software;Empirical Software Engineering;2019;;;1;;1;1;;;;;;;;;;;Understanding of software code (related to bug fixing tasks);Program comprehension;"Task-based
- understanding
- correctness
- response-time";Central to the study;1;;;1;;;;No differences between feature-oriented programming and conditional compilation on comprehending feature-oriented software were found. The paper provides a more robust research design for studying feature-oriented programming and conditional compilation.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;1;;1;;J;;;;
Pupillography as Indicator of Programmers' Mental Effort and Cognitive Overload;2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2019;;;1;;;;;;;;;;;;;;"mental effort
cognitive overload
cognitive human error modes";"cognitive load (by puppilography)
mental effort by NASA-TLX";"Pupillography
NASA-TLX";central to paper;;1;;1;;;;Paper found evidence that pupillography is effective to measure programmers' mental effort. MEntal effort and cognitive load is consistent with the subjective perception of complexity and load.;1;;;;;;;;;1;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;1;1;C;;;;
VisualCOBie for facilities management: A BIM integrated, visual search and information management platform for COBie extension;Facilities;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Load Drivers in Large Scale Software Development;2019 IEEE/ACM 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE);2019;;;1;;;;;;;;1;;;;;;Cognitive load.;Software engineers' perception of information systems (=tools).;Semistructured interviews about a test management tool.;Central to the paper.;;1;;1;;;;Observation of cognitive problems associated with tool use in large-scale SE. Identified categories of cognitive load drivers: Tools, Information, Work/Process.;1;;;;;;;;;1;;1;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;W;;;;
Attention in Software Maintenance: An Eye Tracking Study;2019 IEEE/ACM 6th International Workshop on Eye Movements in Programming (EMIP);2019;;;;;1;;;;;;;;;;;;Cognitive load, visual effort and attention in software maintenance (esp with legacy code);Attention/cognition according to visual load ;Eye tracking during tasks;;1;1;;1;;;;With attention based visualizations added in the software tasks, the results varied. No overall consencus that adding visualizations helped in hugh attention areas.;1;1;1;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;;1;W;;;;
Biofeedback Augmented Software Engineering: Monitoring of Programmers' Mental Effort;2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER);2019;;;1;;;;;;;;;;;;;;"Mental effort
Cognitive load";"Psychophysiological indicators of cognitive load
Subjective rating of program understanding
Subjective rating of mental effort";"Heart rate variability (HRV)
Questionnaire on program understanding
NASA-TLX questionnaire on mental effort";Central to the study;1;;;1;;;;HRV was found to be a good predictor for cognitive load during code analysis. Code complexity metrics did not correlate fully with mental effort and does not seems to be a good indicator of subjective perception.;1;;;;;;;;;1;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;1;;C;;;;
Measuring the Cognitive Load of Software Developers: A Systematic Mapping Study;2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Distilling Neural Representations of Data Structure Manipulation using fMRI and fNIRS;2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE);2019;;;1;;;;;;;;;;;;;;"cognitive processes
cognitive load";cognitive process of data structure manipulation;examine data structures and mental rotation tasks using both fNIRS and fMRI;central to paper;1;;;1;;;;Data structures and spatial ability operations were found to be related. Difficulty matters for data structure tasks, increase in cognitive load.;1;;;;;;;;;1;;;;;;;;;;;;;1;;1;;;;;;;;;;;;;;;;;1;;1;C;;;;
The effect of the ``Prediction-observation-quiz-explanation'' inquiry-based e-learning model on flow experience in green energy learning;Computers and Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A neuromorphic computational primitive for robust context-dependent decision making and context-dependent stochastic computation;IEEE Transactions on Circuits and Systems II: Express Briefs;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Balancing Resources and Load: Eleven Nontechnical Phenomena that Contribute to Formation or Persistence of Technical Debt;2019 IEEE/ACM International Conference on Technical Debt (TechDebt);2019;;;;;;;1;;;;1;;;;;;Cognitive biases.;[Non-technical sources of technical debt, mainly cognitive biases.];"Observations made by author during his 40-year long career, no ""hard-data"".";Central to the paper.;;1;;;1;;1;Paper identifies eleven nontechnical phenomena that lead to technical debt and it provides suggestions for further research topics / studies.;1;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;;;;;;;1;;;;;;;;;;C;;;;
Experiences of studying attention through EEG in the context of review tasks;ACM International Conference Proceeding Series;2019;;;;;;;; ;1;;;;;;;;Attention;Effectiveness of the EEG Machine as a measurement tool;Using EEG as the main tool in task performance ;;1;; ;;1;; ;For the future use of EEG in SE measuring experiments it was found that while using EEG in attention based tasks it is better to focus on single tasks.;1;1;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;C;;;;
Exploring Relationships Between Eye Tracking and Traditional Usability Testing Data;International Journal of Human-Computer Interaction;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Energy aware wireless system based software defined radio;IEEE Vehicular Technology Conference;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Gender and student course preferences and course performance in Computer Science departments: A case study;Education and Information Technologies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Unified 2D/3D Large-Scale Software Environment for Nonlinear Inverse Problems;ACM Transactions on Mathematical Software;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Design and implementation of human-computer interface based cognitive model for examine the skill factor of students;Proceedings of the 3rd International Conference on Computing Methodologies and Communication, ICCMC 2019;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Informed collaboration in health care: An embedded-cases study in geriatric telepsychiatry;Information Systems Journal;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the Effects of Personality on Software Design in a Higher Education Setting Through an Experiment;2018 6th International Conference in Software Engineering Research and Innovation (CONISOFT);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards gamifying software structure comprehension in virtual reality;Mechatronic Systems and Control;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
MEEGIPS---A modular EEG investigation and processing system for visual and automated detection of high frequency oscillations;Frontiers in Neuroinformatics;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Do game designers' decisions related to visual activities affect knowledge acquisition in cultural heritage games? An evaluation from a human cognitive processing perspective;Journal on Computing and Cultural Heritage;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Processing of Visually Presented Data in Decision Making;Human Factors;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assessing Game Interface Workload and Usability: A Cognitive Science Perspective;ACM International Conference Proceeding Series;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Requirements Engineering to Design a Brain-Computer Interface for Cognitive Training;2018 7th International Conference On Software Process Improvement (CIMPS);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Education for sustainable development through business simulation games: An exploratory study of sustainability gamification and its effects on students' learning outcomes;Journal of Cleaner Production;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Effects of a Software Artefact Designed to Stimulate Abstract Thinking Ability on the Academic Performance in Object Oriented Programming of First Year Information Technology Students;2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Program Comprehension: Present and Future [程序理解: 现状与未来];Ruan Jian Xue Bao/Journal of Software;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
How pair programming influences team performance: The role of backup behavior, shared mental models, and task novelty;Information Systems Research;2019;;;;;;;;;;;1;;;;;;Shared mental models and backup behaviour in teamwork / team cognition.;Performance in pair programming tasks.;Observation of pair programming in an actual company.;The effect of pair programming on the cognitive structures in teams, for better overall performance.;;1;;1;;;;Application of the most effective method of pair programming for teams.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;1;;;1;;1;; ;;;;;;1;;J;;;;
Development of Cognitive Training Program with EEG Headset;IEEE Access;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards readability aspects of probabilistic mode automata;ENASE 2019 - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assessment and assisted training software for ADHD;CEUR Workshop Proceedings;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards more individualized interfaces: Automating the assessment of computer literacy;CEUR Workshop Proceedings;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using ELECTRE to analyse the behaviour of economic agents;Soft Computing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Design methods;Springer Tracts in Mechanical Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Subjective Cost of Writing Reusable Code: The Case of Functions;Lecture Notes in Business Information Processing;2019;;;1;;;;;;;;;;;;;dual-process theory;"cognitive effort
subjective cost (value-based subjective cost of effort)
decision making";"cognitive effort
decision-making on using fuctions in coding tasks judging by its subjective cost";15 coding tasks;central to paper;1;;;1;;;;Paper tries to provide explanation for the tendency that students usually do not use functions in programming. The paper finds that the observation supports this idea.;1;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;;;;;;;;;1;;;;C;;;;
Satisfaction analysis for using educational serious games for teaching wound treatment;Advances in Intelligent Systems and Computing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An intelligent agent architecture to influence home users{\rq} risky behaviours;Advances in Intelligent Systems and Computing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding and supporting individuals experiencing severely constraining situational impairments;Universal Access in the Information Society;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Field development: Agile value optimisation;Proceedings of the Annual Offshore Technology Conference;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Data Compression Algorithms in Analysis of UI Layouts Visual Complexity;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Designing a medication timeline for patients and physicians;Journal of the American Medical Informatics Association;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Development and Usability Testing of a Decision Support Mobile App for the Essential Care for Every Baby (ECEB) Program;Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive training to improve problem solving with EEG headset;Proceedings - 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Universal Framework for OWL2 Ontology Transformations;Foundations of Computing and Decision Sciences;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A framework for data-driven adaptive GUI generation based on DICOM;Journal of Biomedical Informatics;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Development of a human error taxonomy for software requirements: A systematic literature review;Information and Software Technology;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Interactive interface and serious game for the detection of deficiencies in cognitive functions in preschool children.;ACM International Conference Proceeding Series;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Moving towards Objective Measures of Program Comprehension;Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2018;;;1;;1;;;;;;;;;;;;Cognitive load;Physiological indications of cognitive load;"fNIRS
Eye tracking
Survey/questionnaire";Central to the paper;;;;1;;;1;The paper describes a study design for investigating cognitive load using physiological measurements (fNIRS and Eye tracking). The paper seems to be only a pilot study.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;1;1;1;C;;;;
Evaluating the efficiency of using a search-based automated model merge technique;2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC);2018;;;;;;;;;1;;;;;;;;Cognitive effort;Cognitive effort, performance, and subjective experience of a task performed with a specific DSL tool;"Task duration
Task success
NASA TLX (cognitive effort)
Satisfaction questionnaire
Preference questionnaire";Measures the usability for developers of a proposed DSL tool;1;1;1;1;;;;The paper shows that a tool for automatically merging models has advantages in terms of satisfaction and cognitive effort. The paper is an example of a usability evaluation of a development tool.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;C;;;;
An Experimental Comparison of Two Navigation Techniques for Requirements Modeling Tools;2018 IEEE 26th International Requirements Engineering Conference (RE);2018;1;;;;;;;;;;;;;;;;cognitive load;"cognitive load
memory usage";"search path analysis
to analyze memory usage, the taken notes on paper during task-performance were observed";One aspect of the comparison, helps to understand why the second method works better;1;;;1;;;;Paper compares two navigation techniques (traditional scroll+zoom and FlexiView) and concludes that the second outperformed de traditional.;1;1;;;;;1;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;C;;;;
Turbulence ahead - A 3D web-based aviation weather visualizer;UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A working memory model improves cognitive control in agents and robots;Cognitive Systems Research;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Visual Variables in UML: How Are They Used by Women?;Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings;2018;;;;;;;;;1;;;;;;;;Visual perception.;Usage of visual variables in UML models (focus on female developers).;Study of +3500 UML diagrams in GitHub models repository with respect to visual variations and visual variables. Trying to find out gender of model author via their profile.;Not too clear. This paper does not really elaborate conclusions on visual perception from their findings about UML models.;1;;;1;;;;In 22% of studied UML models (men and women), visual variation is significantly used. The most used visual variable is colour. ;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;;C;;;;
VizLOD: Schema Extraction and Visualization of Linked Open Data;2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a Dual Processing Perspective of Software Architecture Decision Making;2018 IEEE International Conference on Software Architecture Companion (ICSA-C);2018;;1;;;;;;;;;;;;;;;Decision making using intuition and rationality;;;Use of intuition as a key tool in decsion making.;;;;;;;1;To address research gaps regarding intuition.;1;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;1;;;;;;;;;;;;;;;;C;;;;
Decision Making and Cognitive Biases in Designing Software Architectures;Proceedings - 2018 IEEE 15th International Conference on Software Architecture Companion, ICSA-C 2018;2018;;1;;;;;;;;;;;;;;;"Decision-making
Cognitive bias";None;None;Used to create an analytical framework;;;;;;1;;The paper develops an analytical framework to help point to stages in a decision-making process that may be prone to cognitive biases.;1;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;;;;C;;;;
Ecological Interface Design for Computer Network Defense;Human Factors;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assessing attention in visual and textual programming using neuroeducation approaches;Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Task interruption in software development projects: What makes some interruptions more disruptive than others?;Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018;2018;;;;;;;;;;;1;;;;;;Attention.;Vulnerability of SE tasks to interruptions, dependent on suspension length and number of nested interruptions.;Longitudinal data analysis of recorded task logs and interruptions. Survey (multiple choice, Likert scale, open-ended questions). ;Provides ground for investigating task interruptions, but there is no measurement of e.g. cognitive load itself.;;1;;1;;;;Programming and testing tasks are more vulnerable to interruptions compared to architecture and UI design tasks. In contrary to developers' own assessment, self-interruptions' impact is found to be worse than external-interruptions'.;1;1;;1;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;1;;C;;;;
Two Sides of the Same Coin: Software Developers{\rq} Perceptions of Task Switching and Task Interruption;Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018;2018;;;;;;;;;;;1;;;;;; Attention, cognitive cost and memory load.;Perception and experience of developers' during task interuptions and switching.;Surveys and open ended questions on experiences of developers.;Determines that in most cases task swtcihing is seen as disruptive due to high cognitive cost and disruption in flow.;;1;;1;;;;Validates previous research into task disruptions and iteruptions.;1;1;;;;1;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;1;;C;;;;
Cognitive Games for Children{\rq}s Executive Functions Training with or without Learning Difficulties: An Overview;Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Can we predict stressful technical interview settings through eye-tracking?;Proceedings of the Workshop on Eye Movements in Programming;2018;;;;;;;1;;;;1;;;;;;"Stress
Cognitive load";Indications of stresss;"Self-reported stress rating
Eye movement saccades";Central to the study;1;;;1;;;;The paper find that self-reported stress ratings can be predicted from saccade-based eye movement measurements in a setting similar to a technical recruitment interview.;1;;;;;;;;;1;;;;;;;1;;;;;;1;;;;;;;;;;;;;;;;;;;1;1;;;;;;
Objective evaluation of impression of faces with various female hairstyles using field of visual perception;IEICE Transactions on Information and Systems;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Toward Improving Surgical Outcomes by Incorporating Cognitive Load Measurement into Process-Driven Guidance;2018 IEEE/ACM International Workshop on Software Engineering in Healthcare Systems (SEHS);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Effect of Poor Source Code Lexicon and Readability on Developers' Cognitive Load;2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC);2018;;;;;1;;;;;;;;;;;;"cognitive effort
program comprehension
cognitive load";developers' cognitive load;"measured by fNIRS
cognitive load mapping with eye-tracking";central to paper;1;;;1;;;;The paper is to find evidence that poor source code lexicon, readibility and linguistic antipatterns increase developers' cognitive load. In fact, the paper concludes this hypothesis based on their research.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;1;C;;;;
Empirical Study on the Relationship Between Developer's Working Habits and Efficiency;2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR);2018;;;1;;;;;;;;;;;;;;Attention, motivation, fatigue.;Active time spent in IDE, failure and success rates when building or debugging a program.;Studying data set obtained with CARET platform, which records events and contextual information  during developer's use of Visual Studio.;Comes here more as an implication of the study results, which focus on working hours and efficiency.;;1;;1;;;;Correlations between developer working habits and work efficiency. The efficiency decreases if developer works continuously for more than two hours.;1;1;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;1;C;;;;
Dazed: Measuring the Cognitive Load of Solving Technical Interview Problems at the Whiteboard;2018 IEEE/ACM 40th International Conference on Software Engineering: New Ideas and Emerging Technologies Results (ICSE-NIER);2018;;;;;;;1;;;;;;;;;;Cognitive Load, attention spans and stress.;Cognitive state ;Eyetracking ;To understand the stress induced by recruitment tactics like whiteboard solving for problems.;;1;;1;;;1;Impact of interview techniques in technical interviews. Problem solving through using whiteboards can be stressfull and better interview techniques should be considered.;1;1;;;;;;;;1;;;;;;;1;;;;;;1;;;;;1;;;;;;;;;;;;1;;1;;1;;;;;
A Neuro-Cognitive Perspective of Program Comprehension;2018 IEEE/ACM 40th International Conference on Software Engineering: Companion (ICSE-Companion);2018;;;1;;;;;;;;;;;;;;Program comprehension;None;None;Central to the paper.;;;;;;;1;The paper outlines a research agenda in which fMRI is used to investigate program comprehension.;1;1;;;;1;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;C;;;;
Quiver --- An intelligent decision support system for software architecture and design;2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon);2017;;1;;;;;;;;;;;;;;;decision making;;;provides tool/framework for the proposed method;;;1;;;;;The paper gives a method (a prototype at that stage) of Decision Support Systems that can be applied within the organization. They conclude that the approach is effective;1;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;C;;;;
Comparing Alternative Goal Model Visualizations for Decision Making: An Exploratory Experiment;Proceedings of the 33rd Annual ACM Symposium on Applied Computing;2018;1;;;;;;;;;;;;;;;Cognitive fit theory.;Decision making.;Accuracy, efficiency and confidence in decision making based on differently visualised goal models. ;Task-based: Participants, randomly assigned to three groups with each a different kind of visualisation, individually perform a decision task.;Central to the paper.;1;;;1;;;;A combination of pie- and bar- charts seems to lead to more accurate decision making, with higher efficiency and more confidence than for 'treemaps' or 'goal diagrams'.;1;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;1;1;;1;;;;;;
An Experimental Evaluation of a De-Biasing Intervention for Professional Software Developers;Proceedings of the 33rd Annual ACM Symposium on Applied Computing;2018;;;;;;;1;;;;;;;;;;Reducing biases, anchoring and judgement biases.;The impact of increased awareness of cognitive biases on the reduction of such biases (i.e., de-biasing);An intervention workshop was run and an experiment conducted to see the effectiveness of the new awareness on rate of practical biases for professionals.;Reduction of biases through interventions.;;1;;1;;;;"Proven that de-biasing workshops can significantly reduce -but
not eliminate - the anchoring bias.";1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;;;;;1;;1;;;;;C;;;;
The effect of gender body-swap illusions on working memory and stereotype threat;IEEE Transactions on Visualization and Computer Graphics;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving Cognitive Function in Patients with Stroke: Can Computerized Training Be the Future?;Journal of Stroke and Cerebrovascular Diseases;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Measuring working memory load effects on electrophysiological markers of attention orienting during a simulated drive;Ergonomics;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Mining biometric data to predict programmer expertise and task difficulty;Cluster Computing;2018;;;1;;;;;;;;;;;;;;"Task difficulty
Programmer expertise
Cognitive load
Mental workload";"Programmer expertise
Cognitive load";"NASA TLX
Eye tracking
EEG
Video recording
Think-aloud protocol";Central to the study;1;1;;1;;;;Task difficulty and programmer expertise could be predicted from EEG and eye tracking measurements.;1;;;;;;;;;1;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;1;;;;1;1;;J;;;;
Influence of Demographic Factors on Memory and Attention (Cognitive Ability) among Hearing-Impaired;MATEC Web of Conferences;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The feasibility and potential impact of brain training games on cognitive and emotional functioning in middle-aged adults;Games for Health Journal;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
On the impact of size to the understanding of UML diagrams;Software and Systems Modeling;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Biases in Software Engineering: A Systematic Mapping Study;IEEE Transactions on Software Engineering;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Algorithm for Simulating Human Selective Attention;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A survey on the usage of eye-Tracking in computer programming;ACM Computing Surveys;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
BXtend - a framework for (bidirectional) incremental model transformations;MODELSWARD 2018 - Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development;2018;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The role of cultural differences when using different classifications: An experiment design for design technique selection;International Conference on Information Systems 2018, ICIS 2018;2018;;1;;;;;;;;;;;;;;Cognitive-fit theory;Cognitive Styles, Decision Making;Classification of design techniques;Selection of design techniques from an experiement on participants from different cultures.;Effect of culture in decision making in design practices for SE;1; ;1;;;;1;Description of an online experiment that can be used for future empirical studies.;1;;;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;C;;;;
Towards a solution space for BPM issues based on debiasing techniques;Lecture Notes in Business Information Processing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Virtual reality-based cognitive-motor training for middle-aged adults at high Alzheimer's disease risk: A randomized controlled trial;Alzheimer's and Dementia: Translational Research and Clinical Interventions;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Examining the learning effect of elderly through multimedia assisted instruction design in Taiwan;Lecture Notes in Electrical Engineering;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Effects of model composition techniques on effort and affective states: A controlled experiment;Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE;2018;;1;;;;;;;;;;;;;;;Cognitive effort;"cognitive effort
developers' affectivity";using EEG headset to collect and process affective states and cognitive effort;central to paper;;1;;1;;;;The paper provides empirical evidence that using heuristic-based techniques require less effort and had higher effect on the developers' affectivity;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;1;1;1;;C;;;;
A systematic review of analytical management techniques applied to competition analysis modeling towards a framework for integrating them with BPM;Lecture Notes in Business Information Processing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Weighted Inherited Class Complexity Metric;Procedia Computer Science;2018; ;;1;;;;;;;;;;;;;;Cognitive weight, code complexity comprehension.;Cognitive complexity of code;Comparison between old metrics and newly proposed one.;Better complexity indicator proposed that takes into account cognitive weights.;1;;1;;;;;Comparitive study showed that the newly proposed algorithm better defines class complexity and could be more helpful in SE processes.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;; ;;;;;;;;;;;;1;1;;;;C;;;;
Agile field development planning: A systems approach;Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2018, APOGCE 2018;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Identification of task demands and usability issues in police use of mobile computing terminals;Applied Ergonomics;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
"Intelligent technology in the support of the educational engineering process [Tecnologia ""inteligente"" no apoio ao processo educacional em engenharia]";International Symposium on Project Approaches in Engineering Education;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Multi-method laboratory user evaluation of an actionable clinical performance information system: Implications for usability and patient safety;Journal of Biomedical Informatics;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Graphical vs. Tabular Notations for Risk Models: On the Role of Textual Labels and Complexity;2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2017;;;;;;;1;;;1;;;;;;;comprehension;comparison in the ability to comprehend security risk assessments represented in different ways;"-tasks with different level of difficulty to perform
-questionnaires";central to paper;;1;;1;;;;Paper found out that tabular notation is the easiest comprehend and recall, however other models had adventeges in both recall and precision.;1;1;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;C;;;;
A Study of Keywords Based on the Word Frequency Effect Theory in Video Lectures of Software Engineering Education for Detecting Mind;2017 IEEE 30th Conference on Software Engineering Education and Training (CSEE T);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Recommending crowdsourced software developers in consideration of skill improvement;2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE);2017;;;1;;;;;;;;;;;;;;Skills / Experience / Knowledge;Learning curve of developers.;Analysing scores (weighted by task difficulty) of developers in crowdsourcing platform over a span of 100 completed tasks.;Central to the paper.;;1;;1;;;;Developers learn as they perform more tasks. Negative exponential learning curve is suitable. Proposed an approach for recommending developers considering their skill improvement.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;1;1;;;;C;;;;
Enhancement of working memory using neuro-electrostimulation for accelerated learning;Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Argument mapper: Countering cognitive biases in analysis with critical (visual) thinking;Proceedings - 2017 21st International Conference Information Visualisation, iV 2017;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Examination of pilot benefits from cognitive assistance for single-pilot general aviation operations;AIAA/IEEE Digital Avionics Systems Conference - Proceedings;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A novel low-cost solution for driving assessment in individuals with and without disabilities;Applied Ergonomics;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Usability Operations on Touch Mobile Devices for Users with Autism;Journal of Medical Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving Attention to Security in Software Design with Analytics and Cognitive Techniques;2017 IEEE Cybersecurity Development (SecDev);2017; ;; ;;;;; ;;;;;;;;; ; ; ; ;; ; ;;;; ; ; ;;;;;;;;;;;;;;;;;;;;;;;;;; ;;;;;;;;;;;;;;;;;;;;;;
Swarm intelligence for autonomous cooperative agents in battles for real-time strategy games;2017 9th International Conference on Virtual Worlds and Games for Serious Applications, VS-Games 2017 - Proceedings;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
How to Make Use of Empirical Knowledge About Testers{\rq} Information Needs;2017 IEEE 25th International Requirements Engineering Conference Workshops (REW);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding the Variation of Software Development Tasks: A Qualitative Study;Proceedings of the 9th Asia-Pacific Symposium on Internetware;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Task Interruptions in Requirements Engineering: Reality Versus Perceptions!;2017 IEEE 25th International Requirements Engineering Conference (RE);2017;1;;;;;;;;;;;;;;;Memory-for- goals.;Divided attention (sequential multitasking).;Vulnerability of RE tasks to interruptions. Factors that influence disruptiveness of interruptions in RE tasks.;Manual analysis of recorded tasks. Survey for assessing software developers' perception on this issue.;Basis for investigation.;;1;;1;;;;RE tasks are more vulnerable to interruptions than other tasks. Self-interruptions worse than external ones. Giving some recommendations for practitioners.;1;1;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;1;;C;;;;
A Visual Narrative Path from Switching to Resuming a Requirements Engineering Task;2017 IEEE 25th International Requirements Engineering Conference (RE);2017;1;;;;;;;;;;;;;;;;Cognitive Load, Attention, mental congestion and recall;Satisfaction and usefullness of visualizations;Feedback on a prototype;Reduced cogntive load for requirements engineers during task switching.;;1;1;1;;;;Basis of further empirical studies to evaluate the usefullness of the proposed visualizations ;1;1;;;;1;;;;1;;;;;;;;;;;;;;1;1;;;;;;;;;;1;;;;; ;;;1;;C;;;;
Do Words Make a Difference? An Empirical Study on the Impact of Taxonomies on the Classification of Requirements;2017 IEEE 25th International Requirements Engineering Conference (RE);2017;1;;;;;;;;;;;;;;;;General cognitive psychology;Quality of classifications in a classification task;True positive, false positive, true negative, false negative classification of statements as requirements/not requirements;Used to argue for the use of a requirements taxonomy;1;;;1;;;;The paper investigates if a requirements taxonomy can help classify statements as requirements or not requirements. It finds that different taxonomies result in different classification quality.;1;1;;;;1;;;;;;;;;;;;;;;;;;;;;1;1;1;;;;;;;;;;;;1;;1;;C;;;;
Reusing business components and objects for modeling business systems: The influence of decomposition characteristics and analyst experience;Journal of Systems and Software;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Non-intrusive quantification of performance and its relationship to mood;Soft Computing;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Benefits and limitations of project-to-project job rotation in software organizations: A synthesis of evidence;Information and Software Technology;2017;;;;;;;1;;;;;;;;;;Motivation, Satisfaction;Experiences with job/project rotations;Interviews and research based on previous case studies.;Improved productivity and satisfaction of developers.;;1;;1;;1;;;1;;;;;;;;;;;;;1;;;;;;;;;;;;;1;;1;;;;;;1;;1;; ;;;;;;J;;;;
Codification Pedagogy for Introductory Courses;Proceedings of the 2017 ACM Conference on International Computing Education Research;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software Development Waste;2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Haphop-physio: A computer game to support cognitive therapies in children;Psychology Research and Behavior Management;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
REASSURE: Requirements elicitation for adaptive socio-technical systems using repertory grid;Information and Software Technology;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Microservices tenets: Agile approach to service development and deployment;Computer Science - Research and Development;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards the Assessment of Stress and Emotional Responses of a Salutogenesis-Enhanced Software Tool Using Psychophysiological Measurements;2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering (SEmotion);2017;;1;;;;;;;; ;1;;;;;Salutogenesis Framework;Reduced cognitive load, stress reduction, cognitive capacity  ;"The physical traits of stress after performing different tasks
- Cortison and alpha-amylase levels (stress)
- Self-evaluation of coherence feeling
- Self-efficacy questionnaire
- PANAS scale (mood)
N-Back Test (cognitive capacity: working memory and working memory capacity)";Proposed: Questionaries and saliva sampling for cortisol and alpha-amylase levels.;To reduce stress in developers and achieve an overall increased software quality as a result.;;;1; ;;;;Proposed solution for an empericial study that could help undertsand reduce stress levels for developers by using the Salutogenesis model.;1;;;;;;1;;;1;;;1;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;W;;;;
Characterizing and Predicting Mental Fatigue during Programming Tasks;2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering (SEmotion);2017;;;1;;;;;;;;;;;;;;Mental fatigue;Instances of fatigue;"Self-reported frequency of fatigue
Self-reported description of fatigue episode
Observation of software developers
NASA TLX";Central to the study;;1;;1;;;;The paper finds frequent episodes of fatigue among developers at a company. It also finds that several measures could be used to indicate fatigue levels.;1;1;;;;;1;;;1;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;1;1;W;;;;
Decision Support System Requirements Definition for Human Extravehicular Activity Based on Cognitive Work Analysis;Journal of Cognitive Engineering and Decision Making;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Word-sized graphics for scientific texts;IEEE Transactions on Visualization and Computer Graphics;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Design implications for task-specific search utilities for retrieval and re-engineering of code;Enterprise Information Systems;2017;;1;1;;;;;;;;;;;;;;"cognitive cost
cognitive load
behaviour";habits and behaviour in code-reusing, or looking for code on the internet to solve a particular problem;automated observation systems (monitoring programs) included in development environment and brownsers;helps to describe and explain the observed phenomenon;;1;;1;;;;Paper is to observe code-reuse during the development. It concludes that copy-paste action from browser is frequently used, but they did not prefer to use code-specific search engines as those require more cognitive load.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;1;;;1;;;1;J;;;;
Can I think of something else when using a BCI? Cognitive demand of an SSVEP-based BCI;Conference on Human Factors in Computing Systems - Proceedings;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Human Error as an Emergent Property of Action Selection and Task Place-Holding;Human Factors;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding design patterns application with cognitive based learning tool;Advanced Science Letters;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Design Theory for Cognitive Workflow Systems;International Journal of Software Engineering and Knowledge Engineering;2017; ;;;;;;;1;;;;;;;;Design theory for Cognitive Workflow Systems;Cognitive load, collaborative development,  cognitive support, communication and knowledge management.;Nothing is measured ;Nothing is measured ;The addition of a developmental workflow that assesses the different cognitive issues that can arise in SE.;;;1;;;;;A newly proposed design theory that covers 6 main deisgn features that aims to provide cognitive support to software developers.;1;;;;;;;;;1;; ;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;J;;;;
Quality assessment model of digital interface based on eye-tracking experiments;Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Model-Driven Engineering and Elicitation Techniques: A Systematic Literature Review;2016 IEEE 24th International Requirements Engineering Conference Workshops (REW);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Neurophysiological Impact of Software Design Processes on Software Developers;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;;1;1;;;;;;;;;;;;;;"Cognitive load
Emotion
Arousal";"Cognitive load
Autonomic nervous system arousal";"EEG
Skin conductance (EMG)";Central to the study;;;;;;;1;The paper proposes a study in which EEG and EMG would be used to examine cognitive load and autonomous nervous system arousal during code change tasks. The tasks are designed so that the software to be changed differs in terms of architectural design (e.g., God Class and fully object-oriented implementation).;1;;;;;;;;;1;;;;;;;;;;1;;;1;;;;;;;;;;;;;;;;;;;;;;C;;;;
Defect prevention in requirements using human error information: An empirical study;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;1;;;;;;;;;;;;;;;;human errors, understanding of error taxonomies;"fault abstraction and classification accuracy,
amount of faults detected / inserted in requirements documentations";Participants identify faults in existing SRS documents (to assess understanding). Then groups create own SRS for system assigned to them, others evaluate faults. Two different error taxonomies in use (RET and HET).;central to paper;1;;;1;;;;Paper is to find empirical evidence that the knowledge of human errors result in less faults made during RE. It turned out that human error is a useful fault prevention strategy. They also concluded, that HET was more effective than RET.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;1;1;;;;C;;;;
The impact of specification structure on human memory performance - Experiences from a first experiment;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;1;;;;;;;;;;;;;;;(Process of) chunking.;Memory performance. ;Amount of correctly remembered requirements, dependent on specification style (prosa vs. template).;Two different domains and two different specification styles. Participants get familiar with requirements and have to answer different questions after several time intervals.;Central to the paper.;;1;;1;;;;No significant difference between the specification styles (prosa vs. template) of requirements found. Memory performance appears to be more than a simple variable.;1;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;?;;;;;1;1;;1;;C;;;;
Usefulness of a human error identification tool for requirements inspection: An experience report;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017; ;;; ;;;;;;;;;;;;; ;;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
On cognitive biases in architecture decision making;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;;1;;;;;;;;;;;;;;;Cognitive biases;Survey and focus group -style interviewing on the topic;"Prompting practitioners for bias examples
Survey of bias occurrence
Open discussion
Rating bias frequency";Central to the study;;1;;1;;;;The study probed software practitioners for information on biases. It discusses their occurrence and analyses them in terms architectural decision-making. The paper finds 12 cognitive biases that participants found to be common in architectural decision-making.;1;;;;;;;;;;;;;;;;;;;;;;1;;1;1;;;;;;;;;;;1;;;;;;1;;C;;;;
HMI requirements creation, as the collaboration work of human and machine in the safety-critical system;Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Four Biases in Interface Design Interactions;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
On using colors in UML models;MODELSWARD 2017 - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development;2017;;;;;;;;;1;;;;;;;;Model comprehension.;None.;None.;Central to the paper.;;;?;;;;1;Guidelines for using colours in UML models.;1;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;;;;;;;;;;;;;;;;C;;;;
The pedagogical impact of augmented reality on architectural education;Advances in Transdisciplinary Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Requirements Quality Assurance in Industry: Why, What and How?;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;1;;;;;;;;;;;;;;;Cognitive Load Theory ;Cognitive Load, Quality Comprehension, Decisional Framework;None;None;Central to the study;;1;;;1; ;1;This paper brings forward a classification for requirements quality assurance by taking into account cognitive load of developers. It simply works on developing the research questions required to be answered.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Measuring and Explaining Cognitive Load During Design Activities: A Fine-Grained Approach;Information Systems and Neuroscience;2017;;1;;;;;;;;;;;;;;;"Cognitive load
Mental models";Cognitive load;"Pupil dilation
Eye movements (e.g. fixations)";Central to the study;1;;;;;;1;This paper describes a study design for an investigation of cognitive load during software design tasks.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;J;;;;
Measuring the effect of team diversity and collective intelligence in agile teams on software development efficiency;AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation;2017;;;;;;;1;;;;;;;;;;"cognitive styles
intelligence
behaviour within a team
team diversity";"team efficiency
tack-solving ability";team efficiency was measured by participants subjective assessment and feedback;;;1;;;1;;;Paper presents the evaluation of a model that investigates the *listed cognitive concepts* in agile SE. The author concludes mixed results for the model's efficiciency to measure these concepts.;1;;;;;;;;;;;;;;;;;;;;;;1;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
A Deductive Approach for Fault Localization in {ATL} Model Transformations;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Learning HCI across institutions, disciplines and countries: A field study of cognitive styles in analytical and creative tasks;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive improvement via mhealth for patients recovering from substance use disorder;Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Development of Dynamic Cognitive Interfaces for Multisubject Information Systems (on the Example of Geosocial Service);Advances in Intelligent Systems and Computing;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A crucial temporal accuracy test of combining EEG and Tobii eye tracker;Medicine (United States);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Advances in the Characterization of Cognitive Support for Unit Testing: The Bug-Hunting Game and the Visualization Arsenal;2016 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW);2016;;;;1;;;;;;;;;;;;;Perception, comprehension. (cognitive support);None.;None.;Cognitive support offered by unit testing tools is the central topic, but the added value of the cognitive concept itself is not very clear in this paper.;;;;;;1;;"Too little user participation in design and evaluation of unit testing tools using visualisations. Identification of ""expressiveness risks"", which could affect interpretation of visualisation. Directions for future research.";1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;W;;;;
WAP: Understanding the Brain at Software Debugging;2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE);2016;;;;;;;;;;1;;;;;;;Code comprehenion, decision making, knowledge processing.;Task performance and bug detetction.;MRI and behavorial data such as eye movement.;To better understand where in the brain bug detection and discovery comes from.;;1;;1;;;;It was concluded that the specific part of the brain is the insula which is used during bug suspicion and discovery. This paper concludes that it is necesssary for comprehension and can be used as a starting point for future research.;1;;;;;;;;;1;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;1;C;;;;
Using a Cognitive Psychology Perspective on Errors to Improve Requirements Quality: An Empirical Investigation;2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE);2016;1;;;;;;;;;;;;;;;;Human error;Classification of errors in order to validate an error taxonomy;Error classification task;Central to the study;1;;;1;;;;This paper describes the creation and validation of a taxonomy of human errors in requirments inspections.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;C;;;;
Supporting Requirements Elicitation by Tool-Supported Video Analysis;2016 IEEE 24th International Requirements Engineering Conference (RE);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Implementation of a platform-agnostic working memory span task using mobile device technology;2016 IEEE Wireless Health, WH 2016;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An inclusive and multistakeholder approach to promote linguistic skills in children with special needs: The role of an online sharing platform;ACM International Conference Proceeding Series;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Computer-presented and physical brain-training exercises for school children: Improving executive functions and learning;IGI Global, Transforming Gaming and Computer Simulation Technologies across Industries;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Studying Developer Gaze to Empower Software Engineering Research and Practice;Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A study of the steering time difference between narrowing and widening circular tunnels;Computer Software;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
New graphical and text-based notations for representing task decomposition hierarchies: towards improving the usability of an Ergonomics method;Theoretical Issues in Ergonomics Science;2016;;;;;;;;;;;;;;;;Cognitive load theory.;Cognitive load.;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Analyzing and visualizing information flow in heterogeneous component-based software systems;Information and Software Technology;2016;;; ;;;;;;1;;;;;;;;Comprehension, cognitive load;understanding of component- based system, participants' opinion / feedback;Comprehending different code through a visualizations prototype. Afterwards: interviews, including subjective ratings and open-ended discussion.;The cognitive aspect here is more of a motivation for developing the presented method, but still evaluated.;1;1;1;1;;;;Proposed a set of visualizations for the information flow in component based systems. Interview results suggest positive impact of proposed method on comprehension.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;1;;1;;;1;;J;;;;
Web-compatible graphics visualization framework for online instruction and assessment of hardware concepts;Engineering Design Graphics Journal;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The effects of students{\rq} motivation, cognitive load and learning anxiety in gamification software engineering education: a structural equation modeling study;Multimedia Tools and Applications;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluation of model driven architecture-based instruction for understanding phase transitions in object-oriented analysis and design;ACM Transactions on Computing Education;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Intellectual support of the learning content planning considering the cognitive load;Proceedings of the 19th International Conference on Soft Computing and Measurements, SCM 2016;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
CoSMoMVPA: Multi-modal multivariate pattern analysis of neuroimaging data in matlab/GNU octave;Frontiers in Neuroinformatics;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Narratives and sensor driven cognitive behavior training game platform;2016 IEEE 14th International Conference on Software Engineering Research, Management and Applications (SERA);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Quality specifications in postgraduate medical e-learning: An integrative literature review leading to a postgraduate medical e-learning model;BMC Medical Education;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The impact of a self-avatar on cognitive load in immersive virtual reality;Proceedings - IEEE Virtual Reality;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Can the outside-view approach improve planning decisions in software development projects?;Information Systems Journal;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Quality in use analysis to evaluate user experience of open source software compatible with MATLAB;International Journal of Open Source Software and Processes;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
New version of hex-ecs, the B-spline implementation of exterior complex scaling method for solution of electron--hydrogen scattering;Computer Physics Communications;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Putting the consequences of IT turnover on the map - A review and call for research;SIGMIS-CPR 2016 - Proceedings of the 2016 ACM SIGMIS Conference on Computers and People Research;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Social theory for software engineering research;ACM International Conference Proceeding Series;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving programming education through gameful, formative feedback;IEEE Global Engineering Education Conference, EDUCON;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Implications of Requirements Engineering on Software Design: A Cognitive Insight;2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C);2016;1;1;;;;;;;;;;;;;;;cognitive biases;"harmful effects of cognitive biases on designing form requirements
creativity of design/solution";"quantitative approach
task-performance
solution is jugded by experts";central to paper;1;1;;;;;1;This paper is a research proposal, that has taken place (in the future in respect to this paper) already.;1;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;;;1;;1;;C;;;;
Cognitive Biases in Software Quality and Testing;2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C);2016;;;;1;;;;;;1;;;;;;;Cognitive biases.;Factors triggering cognitive biases in testing tasks.;"SLR; time-pressure experiment (data not analysed yet).";Central to the paper.;1;;;?;;;;Outline of their research approach, i.e. SLR and time-pressure experiment with graduate students, and expected contributions.;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;C;;;;
Decision-Making in Software Project Management: A Qualitative Case Study of a Private Organization;2016 IEEE/ACM Cooperative and Human Aspects of Software Engineering (CHASE);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Sky is Not the Limit: Multitasking across GitHub Projects;Proceedings of the 38th International Conference on Software Engineering;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Invited session: Hands-on sensors 101;Proceedings of the 1st International Workshop on Emotion Awareness in Software Engineering;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A case study for evaluating a model for usability testing in a mobile application [Um estudo de caso para avalia{\c c}{\~a}o de um modelo para teste de usabilidade em aplica{\c c}{\~a}o m{\'o}vel];CIBSE 2016 - XIX Ibero-American Conference on Software Engineering;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
What recommendation systems for software engineering recommend: A systematic literature review;Journal of Systems and Software;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Reduced GUI for an interactive geometry software: Does it affect students' performance?;Computers in Human Behavior;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Support for Salience: IT to Assist Burn ICU Clinician Decision Making and Communication;2015 IEEE International Conference on Systems, Man, and Cybernetics;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A cognitive load view and empirical test of collaboration network structure versus learning rates in new software development;International Journal of Innovation Management;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Feasibility of streamlining an interactive Bayesian-based diagnostic support tool designed for clinical practice;Progress in Biomedical Optics and Imaging - Proceedings of SPIE;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Decision-making in Software Project Management: A Systematic Literature Review;Procedia Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
On the cellular mechanisms underlying working memory capacity in humans;Neural Network World;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Practice makes perfect - Gamification of a competitive learning experience;Proceedings of the European Conference on Games-based Learning;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Effectiveness of human error taxonomy during requirements inspection: An empirical investigation;Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An empirical study of MCL-based spreadsheet visualization;International Journal of Software Engineering and its Applications;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
EID vs UCD: A comparative study on user interface design in complex electronics manufacturing systems;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A research agenda on visualizations in information systems engineering;ENASE 2016 - Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Change the mental model, change the behavior: Using interface design to promote appropriate energy consuming behavior in the home;Advances in Intelligent Systems and Computing;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Research on the application of GSR and ECG in the usability testing of an aggregation reading App;International Journal Bioautomation;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Analysis of Different Types of Navigational Structures for Machine Tool Controlling;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cuckoos among your data: A quality control method to retrieve mislabeled writer identities from handwriting datasets;IS and T International Symposium on Electronic Imaging Science and Technology;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Design practices for multimodal affective mathematical learning;2015 International Symposium on Computer Science and Software Engineering (CSSE);2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Exploring the Cognitive Psychology Paradigm of a Programming Language and Identification of Emotion under Collective Intelligence: An Experience with an Ant Colony Metaphor;2015 18th International Conference on Network-Based Information Systems;2015;;;;;;;1;;;;;;;;;;"cognitive behaviour
emotion";;;helps to design the proposed model, provides input;;1;1;;;;;Paper proposed the ant colony metaphor to simulate developers' cognitive behaviour, and observed how it affects programming, language and tools choice.;1;;;;;;;;;;;;1;;;;;;;;;;;;1;;1;;;;;;;;;;;;;;;;;;C;;;;
Comparison of different approaches on example-based learning for novice and proficient learners;Human-centric Computing and Information Sciences;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the effects of motion-based Kinect game system on user cognition;Journal on Multimodal User Interfaces;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding the challenges faced by neurodiverse software engineering employees: Towards a more inclusive and productive technical workforce;ASSETS 2015 - Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
UEDashboard: Awareness of Unusual Events in Commit Histories;Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Commit Bubbles;Proceedings of the 37th International Conference on Software Engineering - Volume 2;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitively Sustainable ICT with Ubiquitous Mobile Services - Challenges and Opportunities;2015 IEEE/ACM 37th IEEE International Conference on Software Engineering;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A 3D visualization framework to social network monitoring and analysis;Computers in Human Behavior;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Is designing independent of domain? Comparing models of engineering, software and service design;Research in Engineering Design;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Suspenser: A story generation system for suspense;IEEE Transactions on Computational Intelligence and AI in Games;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cultivating Engagement and Enjoyment in Exergames Using Feedback, Challenge, and Rewards;Games for Health Journal;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluation of BehaviorMap: A user-centered behavior language;Proceedings - International Conference on Research Challenges in Information Science;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A position paper proposing behavioral solutions to challenges in software development projects;Lecture Notes in Business Information Processing;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Affect of Software Developers: Common Misconceptions and Measurements;2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering;2015;;;;;;;;;;;1;;;;;;Affects (emotions, moods).;None.;None.;Central to the paper.;;;;;1;;;Identifies common misconceptions of affects. Suggests affect measurement instruments and makes some recommendations.;?;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Gamifying software development environments using cognitive principles;CEUR Workshop Proceedings;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a substantive theory of project decisions in software development project-based organizations: A cross-case analysis of IT organizations from Brazil and Portugal;2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigation of the correspondence between problems solving based on cognitive psychology tests and programming course results;International Journal of Emerging Technologies in Learning;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards Emotion-Based Collaborative Software Engineering;2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering;2015;;;;;;; ; ;;;;;;;;; ; ; ; ;;;;;;; ; ; ;;;;;;;;;;;; ;;;;;;;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;
A systematic literature review on the usage of eye-tracking in software engineering;Information and Software Technology;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
DCCSS: A meta-model for dynamic clinical checklist support systems;2015 3rd International Conference on Model-Driven Engineering and Software Development (MODELSWARD);2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Decision making and cognitive behavioral flexibility in a OCD Sample: A study in a virtual environment;Annual Review of CyberTherapy and Telemedicine;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An improved two-stage variance balance approach for constructing partial profile designs for discrete choice experiments;Applied Stochastic Models in Business and Industry;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Serious games for cognitive rehabilitation: Forms of interaction and social dimension [Jogos S{\'e}rios na Reabilita{\c c}{\~a}o Cognitiva: Modalidades de Interac{\c c}{\~a}o e Componente Social];2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Societal Discussion Required? Ubicomp Products beyond Weiser's Vision;IEEE Pervasive Computing;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Task 1a of the CLEF eHealth Evaluation Lab 2015;CEUR Workshop Proceedings;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
User experience design of VR-AR hybrid mobile browsing system based on mental model;Jisuanji Xuebao/Chinese Journal of Computers;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Axiomatic Design/Design Patterns Mashup: Part 2 (Cyber Security);Procedia CIRP;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Multi-sensory Storytelling to Support Learning for People with Intellectual Disability: An Exploratory Didactic Study;Procedia Computer Science;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software and human reliability: Error reduction and prediction;International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2015;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving healthcare system usability without real users: A semi-parallel design approach;International Journal of Healthcare Information Systems and Informatics;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Modeling and simulation of the collective efficacy of distributed organizations: Toward an interdependent network;SIMULATION;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Interactive User Interface for Drug Labeling to Improve Readability and Decision-Making;AMIA ... Annual Symposium proceedings. AMIA Symposium;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
G-NETS --;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluating educational games using facial expression recognition software: Measurement of gaming emotion;Proceedings of the European Conference on Games-based Learning;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
GETSmart: Guided education and training via smart phones to promote resilience;Annual Review of CyberTherapy and Telemedicine;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Lead User Design: Medication Management in Electronic Medical Records;Studies in Health Technology and Informatics;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context;IEEE Access;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Eye-based Continuous Affect Prediction;2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Set of Usability Heuristics for Quality Assessment of Mobile Applications on Smartphones;IEEE Access;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Usability of Mobile Applications: A Systematic Literature Study;IEEE Access;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Mixed Reality Piano Tutor: A Gamified Piano Practice Environment;2019 International Conference on Electronics, Information, and Communication (ICEIC);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Edge Computing based resource allocation framework for Internet of Things;2017 Second International Conference on Fog and Mobile Edge Computing (FMEC);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Systematic Mapping Review: Mobile User Interface Design Guidelines for the Elderly with Cognitive Impairments;2019 23rd International Computer Science and Engineering Conference (ICSEC);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Semi-Automating (or not) a Socio-Technical Method for Socio-Technical Systems;2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Look into Programmers{\rq} Heads;IEEE Transactions on Software Engineering;2020;;;1;;1;;;;;;;;;;;;Program comprehension (bottom-up).;Active brain regions associcated with certain cognitive processes.;Participants solve tasks assessing source code comprehension while lying in fMRI scanner. Measuring BOLD effect (blood oxygenation levels).;Central to the paper.;1;;;1;;;;Brain regions active during program comprehension process are linked to working memory, attention and language processing. Cognitive effort measurable. Cognitive load correlated with prior programming experience in specific language.;1;1;;1;;1;1;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;1;;1;1;;J;;;;
Detecting Developers' Task Switches and Types;IEEE Transactions on Software Engineering;2020;;;;;;;;;;; ;;;;;; ; ; ; ;; ;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ; ;;;;;;;;;;;;;
Automating Developers' Responses to App Reviews;2018 25th Australasian Software Engineering Conference (ASWEC);2018;1;;;;;;1;;;;;;;;;;"Usability
Cognitive load
Performance";"Perceived usability
Perceived cognitive load
Time to complete review response task";"System Usability Scale
NASA TLX
Amount of time taken to respond to a review";Helps evaluate the tool from the developer perspective;1;;1;1;;;;The paper investigates a semi-automatic system for responding to app reviews. It measures usability, cognitive load, and task performance with participants who use the system to complete a review response task. The paper finds that the system was preferred over a system like Google Play and that it considerably reduced developers' workload.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;C;;;;
Towards situational awareness from robotic group motion;2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
VR City: Software Analysis in Virtual Reality Environment;2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Applied cognitive psychology in software debugging process to predict software reliability growth;2014 IEEE International Conference on Industrial Engineering and Engineering Management;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Possible core theories for software engineering;2013 2nd SEMAT Workshop on a General Theory of Software Engineering (GTSE);2013;;;;;;;1;;;;;;;;;"Complexity Theory
Sensemaking-Coevolution-Implementation Theory
the Theory of Boundary Objects
Transactive Memory Theory
The Theory of Cognitive Biases";"memory
cognitive biases
cognitive load
problem-solving";;;;;;;;;1;;Paper describes different theories from cognitive psychology and behaviour to explain SE phenomena. However, paper does not provide any ampirical study, thus no assessment took place.;1;;;;;1;;;;1;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;;;;;;;W;;;;
Influence of cognitive style on mobile payment system adoption: An extended technology acceptance model;2016 International Conference on Computer Communication and Informatics (ICCCI);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software requirements specification from a cognitive psychology perspective;Proceedings. 1988 International Conference on Computer Languages;1988;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Developing a system model for a software application to assess the cognitive work ability of nurses;TENCON 2012 IEEE Region 10 Conference;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software Science and Cognitive Psychology;IEEE Transactions on Software Engineering;1983;;;1;;;;;;;;;;;;;Multistore memory theory/paradigm (sensory, short-term and long-term memory).;Limitations of short-term memory, searches in human memory, psychological time.;None.;None.;Central to the paper.;;;;;;1;1;Paper reflects on Halstead's legacy and identifies concepts from cognitive psychology, which were incorporated incorrectly into software science.;1;;;;;1;;1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;J;;;;
Observations on using empirical studies on developing a knowledge-based software engineering tool;Proceedings of 8th Knowledge-Based Software Engineering Conference;1993;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
In support of student process improvement;Proceedings 11th Conference on Software Engineering Education;1998;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A software engineering cognitive knowledge discovery framework;Proceedings First IEEE International Conference on Cognitive Informatics;2002;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Analysis of cognitive behavior in software interactive interface;2008 9th International Conference on Computer-Aided Industrial Design and Conceptual Design;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Notice of Retraction: Innovative Mathematical Pedagogical Model Based on Cognitive psychology;2009 International Conference on Computational Intelligence and Software Engineering;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Detecting Basic Level Categories by Term Weighting and Feature Entropy;2019 IEEE International Conference on Big Data and Smart Computing (BigComp);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Technology Selection to Improve Global Collaboration;2006 IEEE International Conference on Global Software Engineering (ICGSE'06);2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Intent specifications: an approach to building human-centered specifications;IEEE Transactions on Software Engineering;2000;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a Metric Suite Proposal to Quantify Confirmation Biases of Developers;2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement;2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Coordinators based on cognitive psychology features and the corresponding KDD process model;2008 Chinese Control and Decision Conference;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Example-Driven Modeling: Model = Abstractions + Examples;2013 35th International Conference on Software Engineering (ICSE);2013;1;;;;;;;;1;;;;;;;;(Domain) knowledge. Model comprehension.;None.;None.;Forms the basis for the suggestion of EDM, but is not examined as such.;;;1;;;;;The paper is proposing Example-Driven Modeling (EDM), where examples and abstrations are equally important.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;;C;;;;
Multi-prototype based semantic similarity of concepts in ontology;2012 International Conference on Machine Learning and Cybernetics;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A goal-driven approach to Web navigation modeling;Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99;1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Consulting experiences: making user-centred design work;IEE colloquium on Making User-Centred Design Work in Software Development (Ref. No. 1999/010);1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
From cognitive psychology to cognitive informatics;The Second IEEE International Conference on Cognitive Informatics, 2003. Proceedings.;2003;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Cognitive Psychology Approach for Balancing Elicitation Goals;6th IEEE International Conference on Cognitive Informatics;2007;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a framework for pattern experimentation: Understanding empirical validity in requirements engineering patterns;2012 Second IEEE International Workshop on Requirements Patterns (RePa);2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive-Based Rules as a Means to Select Suitable Groupware Tools;2006 5th IEEE International Conference on Cognitive Informatics;2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Managing Cognitive and Cultural Diversity in Global IT Teams;2010 5th IEEE International Conference on Global Software Engineering;2010;;;;;;; ;;;;1;;;;;Adaption-Innovation Theory and Hofstede's theory of cultural diversity;Cognitive diversity, decision making differences in teams. Cognitive Style.;None;None;Central to the paper;;;;;;1; ;The paper presents the importance of cognitive diveristy in IT Teams and presents questions for further resreach into how cognitive styles and different problem solving styles can effect teams. No assessment or study has been carried out but emphaisis is put on the future use of KAI for assesing cognitive diversity.;1;;;;;;;;;;;;;;;;;;;;;;1;;1;;;;;;;;1;;;;;;;;;;;;C;;;;
A Study of Classification Algorithm for Data Mining Based on Hybrid Intelligent Systems;2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Measuring Improvements in Program Clarity;IEEE Transactions on Software Engineering;1979;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Resilient control of a decision support system for emergency simulation at nuclear power plant;Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Application of multiple artificial intelligence techniques for an aircraft carrier landing decision support tool;2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291);2002;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
IT in society: a multi-disciplinary course;FIE'99 Frontiers in Education. 29th Annual Frontiers in Education Conference. Designing the Future of Science and Engineering Education. Conference Proceedings (IEEE Cat. No.99CH37011);1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comprehending object and process models: an empirical study;IEEE Transactions on Software Engineering;1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Key recommendation for key agreement in public safety mesh networks;2010 International Conference on Computer Application and System Modeling (ICCASM 2010);2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using the ``Physics'' of notations to analyze a visual representation of business decision modeling;2012 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC);2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Strategies to recommend groupware tools according to virtual team characteristics;2008 7th IEEE International Conference on Cognitive Informatics;2008;1;;;;;;1;;;;;;;;;;"cognitive psychology
learning style
cognitive style";"learning-style models
precerences of groupware tools and requirements elicitation";questionnaire on preferences;used to create the method;1;;1;;;;;The paper presents three different strategies for groupware selection to improve Global Software Development projects, taking cognitive psychology into account.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;1;;C;;;;
From AMS design to realization: methods and tools;Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics;1993;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Theoretical Framework and Cognitive Process of Learning;6th IEEE International Conference on Cognitive Informatics;2007;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Perceptual proximity-based approach to structural complexity estimate of simplicial complex in the framework of Q-analysis holistic methodology;2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a hierarchical taxonomy of autonomous agents;2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583);2004;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Interactive Visual Reasoning to Support Sense-Making: Implications for Design;IEEE Transactions on Visualization and Computer Graphics;2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards the quality improvement of Web applications by neuroscience techniques;2014 9th International Conference on Software Engineering and Applications (ICSOFT-EA);2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding the Nature of Use Regarding System Development and Management Methodologies -- Using Psychoanalysis to Understand the Influences of Methodology Attributes;2013 46th Hawaii International Conference on System Sciences;2013;;;;;;;1;;;;1;;;;;"Diffusion of innovations theory (DOI); Theory of psychoanalysis (by Freud).";Motivation, attitude.;Participants' experiences with adaption of system development methodologies (SDMs) in their most recent project.;Online survey questions using a 7-point Likert scale.;Central to the paper in terms of psychoanalysis.;;1;;1;;1;;Employees' usage behaviour of SDMs categorised into: resistant, compliant, committed.;1;;;;;;;;;;;;;1;;;;;;;1;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;
Influencing versus Informing Design, Part 2: Macrocognitive Modeling;IEEE Intelligent Systems;2008;;;;;;;1;;;;;;;;;;Macrocognition, comprehension of larger goal oriented tasks. Reasoning and knowledge.;The practitioners ability to reason and develop full comprehension of cognitive tasks in a project. Measured through preperation of the models, making of the models and then verification.;The suggested research method was breifly discussed, but not fully assessed.;Understanding macrocognition can bridge the gap between different types of engineers on a project.;;1;1;;;;;The paper presents a model that can be used to in different fields of work to help in the effiency of comprehension of cognitive tasks. The model has been verfied but briefly. No proper study was conducted, only briefly conducted with a small example case.;1;;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;1;;1;1;;1;;;;J;;;;
Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems;IEEE Transactions on Software Engineering;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
AC-Contract: Run-Time Verification of Context-Aware Applications;2015 IEEE/ACM 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Architectural Design and Development of a Hybrid Robotics Control System;2011 Ninth International Conference on Software Engineering Research, Management and Applications;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comprehension with[in] virtual environment visualisations;Proceedings Seventh International Workshop on Program Comprehension;1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An agent-based digital self in a 24x7 Web services world: architecture and implementation;IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003.;2003;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Enhancing Course Content by Cognitive Styles: A Case Study with Bioinformatics at High Schools;Proceedings Frontiers in Education 35th Annual Conference;2005;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An empirical study of factors that affect user performance when using UML interaction diagrams;2005 International Symposium on Empirical Software Engineering, 2005.;2005;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Group cohesiveness and extrinsic motivation in virtual groups: lessons from an action case study of electronic brainstorming;Proceedings of the 35th Annual Hawaii International Conference on System Sciences;2002;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
FD/I-Based personalized recommendation in Context-aware Application;2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07);2007;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Metacognitive theories of visual programming: what do we think we are doing?;Proceedings 1996 IEEE Symposium on Visual Languages;1996;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Procurement Woes Revisited;IEEE Intelligent Systems;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Making the comprehension of software architecture attractive;2011 24th IEEE-CS Conference on Software Engineering Education and Training (CSEE T);2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
H-PARAFAC: Hierarchical Parallel Factor Analysis of Multidimensional Big Data;IEEE Transactions on Parallel and Distributed Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Enhancing an object-oriented curriculum: metacognitive assessment and training;FIE'99 Frontiers in Education. 29th Annual Frontiers in Education Conference. Designing the Future of Science and Engineering Education. Conference Proceedings (IEEE Cat. No.99CH37011);1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The impact of cybernetics on the design of a mobile robot system: a case study;IEEE Transactions on Systems, Man, and Cybernetics;1990;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluation of the risk and security overlay of archimate to model information system security risks;2017 IEEE 21st International Enterprise Distributed Object Computing Workshop (EDOCW);2017;;1;;;;;;;;;;;;;;Moody's Physics of Notations;Cognitive effectiveness;"Moody's nine principles (from ""Physics of Notations"")";Analytical assessment against the principles;Helps evaluate the cognitive effectiveness of the ArchiMate modelling language;;;;;;1;;The paper evaluates the ArchiMate language for enterprise architecture modelling using the nine principles from Moody's Physics of Notations. The paper finds both positive and negative aspects of ArchiMate.;;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;;;;;;;;;;;;;;;;W;;;;
Use of case-based reasoning techniques for intelligent computer-aided-design systems;Proceedings of IEEE Systems Man and Cybernetics Conference - SMC;1993;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism;IEEE Transactions on Cognitive and Developmental Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Ruthless reductionism in recent neuroscience;IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews);2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Keynote - The ABCs of Software Engineering: Affect, Biometrics, and Cognition;2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Emotion-Based Interactive Art Design;2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The cognitive processes of consciousness and attention;2008 7th IEEE International Conference on Cognitive Informatics;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Research on the Routing Algorithm Based on QoS Requirement for Cognitive Radio Networks;2008 International Conference on Computer Science and Software Engineering;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Model Comprehension for Security Risk Assessment: An Empirical Comparison of Tabular vs. Graphical Representations;2017 Empirical Software Engineering;2017;;;;1;1;;;;;;;;;;;Vessey’s cognitive fit theory;Comprehension of different representations. Task complexity. Precision and recall.;The comprehension of risk anaylsis by using tabular vs graphical notations.;Ran scenario based tasks in which the security risks were modelled using different notations. The participants were then tested on these scenarios with different ranges of complexities. ;Tests the effect of task complexity on comprehension pf risk models.;1;;;1;;;;Results showed that the tabular risk model allowed for better comprehension results. Additionally, participants showed equal preference when asked about their own perception of the two risk modeling notations;1;;;;;;;;;1;;;;;;;;;;;;1;;;;;;;;;;;;;;;; ;;1;1;;;;J;;;;
Applying attention investment to end-user programming;Proceedings IEEE 2002 Symposia on Human Centric Computing Languages and Environments;2002;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Multibranch Attention Networks for Action Recognition in Still Images;IEEE Transactions on Cognitive and Developmental Systems;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A blackboard architecture for intelligent assistance in software maintenance;Proceedings of 6th International Workshop on Computer-Aided Software Engineering;1993;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Forecasting software damage rate from cognitive bias in software requirements gathering and specification process;2013 IEEE Third International Conference on Information Science and Technology (ICIST);2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Model-Based Development with Distributed Cognition;2018 IEEE 8th International Model-Driven Requirements Engineering Workshop (MoDRE);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Experimental analysis of the cognitive processes of program maintainers during software maintenance;1997 Proceedings International Conference on Software Maintenance;1997;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Cognitive Model for Visual Attention and Its Application;2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology;2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Aggregrated Transformation and Attention Neural Network for Remote Sensing Scene Recognition;2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Salient locations search based on human visual attention: An experimental analysis;2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC);2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Performance norms: An approach to rework reduction in software development;2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive fit between conceptual schemas and internal problem representations: the case of geospatio-temporal conceptual schema comprehension;IEEE Transactions on Professional Communication;2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
What makes a task difficult? An empirical study of perceptions of task difficulty;2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC);2017;;;;;;;1;;;;1;;;;;;Mental effort.;Metrics used by professionals to estimate task difficulty.;Exploratory survey with professionals and semi-structured interviews with subset of the same participants.;This is more the basis for the investigation, but the paper is more about assessing task difficulty and not about mental effort as such.;;1;;1;;;;"Importance and means of task difficulty estimation for professionals, i.e. ""why"" and ""how"".";1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;1;;1;;;1;;;1;;C;;;;
Design rationale for software engineering: a survey;Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences;1992;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
What are Problem Causes of Software Projects? Data of Root Cause Analysis at Four Software Companies;2011 International Symposium on Empirical Software Engineering and Measurement;2011;;;;;;;;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Awareness and Comprehension in Software/Systems Engineering Practice and Education: Trends and Research Directions;2012 26th Brazilian Symposium on Software Engineering;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Impaired visual working memory capacity in case of motion direction and color-shape feature binding;Proceedings. The 4th International Conference on Development and Learning, 2005;2005;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Orphan Adoption problem in architecture maintenance;Proceedings of the Fourth Working Conference on Reverse Engineering;1997;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Establishing a roadmap and metrics for conscious machines development;2009 8th IEEE International Conference on Cognitive Informatics;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Theoretical Study of the Personal Capability Improvement in Unit Test;2006 5th IEEE International Conference on Cognitive Informatics;2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A noninvasive real-time driving fatigue detection technology based on left prefrontal Attention and Meditation EEG;2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI);2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Microdynamics of process evolution;Computer;1998;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
From requirements elicitation to variability analysis using repertory grid: A cognitive approach;2015 IEEE 23rd International Requirements Engineering Conference (RE);2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive fit: an empirical study of recursion and iteration;IEEE Transactions on Software Engineering;1992;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A novel fuzzy multimodal information fusion technology for human biometric traits identification;IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11);2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
PRIM: A Fast Matrix Transpose Method;IEEE Transactions on Software Engineering;1981;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
CASE tools: Masters or servants?;1993 Software Engineering Environments;1993;;1;;;;;;;;;;;;;;;Cognitive model, knowledge.;None.;None.;In a sense, the (cognitive) model of the developer in comparison to the way CASE tools are structured is the central point of this paper. Nevertheless, it is not going into details with the developers' cognitive model.;;1;;;1;;;Mismatch between the design process going on in developers' mind and the way CASE tools take input for a model. Suggestion to focus more on cognitive needs of the designer when building CASE tools.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;J;;;;
Hybridization of cognitive models using evolutionary strategies;2009 IEEE Congress on Evolutionary Computation;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Modeling Cognitive Structure of Emotion for Developing a Pedagogical Agent Based Interactive Game;2006 IEEE International Conference on Systems, Man and Cybernetics;2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Functional complexity analysis;IEE Colloquium on Designing Quality into Software Based Systems;1991;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Rubber ball to cloud rehabilitation musing on the future of therapy;2009 Virtual Rehabilitation International Conference;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis;IEEE Access;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Giving Design Advice;IEEE Software;2007;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A machine learning approach to detect occluded faces in unconstrained crowd scene;2015 IEEE 14th International Conference on Cognitive Informatics Cognitive Computing (ICCI*CC);2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A journey of WEB and Blockchain towards the Industry 4.0: An Overview;2019 International Conference on Innovative Computing (ICIC);2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A dual-task approach to the evaluation of the myokinemetric signal as an alternative to EMG;The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society;2004;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software agents: quality, complexity and uncertainty issues;Proceedings First IEEE International Conference on Cognitive Informatics;2002;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving Software Quality Classification with Random Projection;2006 5th IEEE International Conference on Cognitive Informatics;2006;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Acceptance Requirements and Their Gamification Solutions;2016 IEEE 24th International Requirements Engineering Conference (RE);2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Advances and Emerging Challenges in Cognitive Internet-of-Things;IEEE Transactions on Industrial Informatics;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
ScenIC: a strategy for inquiry-driven requirements determination;Proceedings IEEE International Symposium on Requirements Engineering (Cat. No.PR00188);1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Requirements Framing Affects Design Creativity;IEEE Transactions on Software Engineering;2019;1;;;;;;;;;;;;;;;;"Cognitive biases
Framing";Design creativity;Expert judgement on 5-point scale;Central to the study;1;;;1;;;;Requirements presented as requirements or prioritised requirements resulted in less original designs than requirements presented as ideas. The paper concludes that framing influences design creativity.;1;;;;;;;;;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;;;;;1;;J;;;;
An Efficient Method for Diversifying Skylines in SOA Environment;2010 International Conference on Intelligent Computing and Cognitive Informatics;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
WAP: Cognitive aspects in unit testing: The hunting game and the hunter's perspective;2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE);2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An approach for measuring software evolution using source code features;Proceedings Sixth Asia Pacific Software Engineering Conference (ASPEC'99) (Cat. No.PR00509);1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Value of bottom-up team formation for complex adaptive business systems;2014 IEEE International Systems Conference Proceedings;2014;;;;;;;1;;;;;;;;;;Mental models in teams, social cognition, knowledge transfer.;The shared mental models and teamwork characteristics shown in a website development case study.;Case study on several small groups to organize and complete the same development task.;Central to paper;;1;;1;;;;The paper presents the  effectiveness of self organizing teams in a bottom-up approach, It fouses on the collaborative cognitive aspects that lead to succesful teams in SE. Case study highlights shared mental models and their effect on project completetion.;1;;;;;;;;;;;;;1;;;;;;;;;1;;;;;1;;1;;;1;;1;;1;1;1;;;;;;C;;;;
Reflections on the Control of Cognitive Load in Multimedia Learning;2010 Second International Conference on Multimedia and Information Technology;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Usability issues for smartphone users with special needs --- Autism;2013 International Conference on Open Source Systems and Technologies;2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Computerized Adaptive Testing: The Researches and Perspectives in Chinese Mainland;2009 International Conference on Computational Intelligence and Software Engineering;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Eliminating exception handling errors with dependability cases: a comparative, empirical study;IEEE Transactions on Software Engineering;2000;;;1;;;;;;;;;;;;;;"Human error
Forgetting
Long-term memory
Recall";Identification of exceptions;"Task-based experimental design
- Programming and non-programming conditions
- Each of the above was split into conditions using collaborations, n-versions, and dependability cases for enhancing coverage
- Multi-step procedure to score task results";Motivates the assumed underlying reasons for study results;1;;;1;;;;The paper finds that using a coverage-enhancing method results in finding more exception cases in code. A proposed method, dependability cases, had the best balance in terms of cost and effectiveness. The paper argues that the methods reduce human error but does not show the exact cognitive mechanism involved.;1;;;;;;;;1;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;;;1;;1;;J;;;;
A metamodel based model transformation approach;Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (SERA'05);2005;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Implementation of gesture recognition on aquarium application;2012 International Conference on System Engineering and Technology (ICSET);2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Mobile app development and usability research to help dementia and Alzheimer patients;2013 IEEE Long Island Systems, Applications and Technology Conference (LISAT);2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Case studies of applying Gibson's ecological approach to mobile robots;IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans;1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Use of advanced features and perceptions of software quality: an experimental study;1994 Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences;1994;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Learning-based movie summarization via role-community analysis and feature fusion;2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP);2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Test-the-REST: An Approach to Testing RESTful Web-Services;2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An experiment to assess task complexity in the supervision of networked systems;1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation;1997;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Realization of IPv6 connectivity via RS485 fieldbus by adaption of 6LoWPAN;2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Set differentiation: a method for the automatic generation of filtering algorithms;Proceedings of the 11th Knowledge-Based Software Engineering Conference;1996;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Recovering Concepts from Source Code with Automated Concept Identification;15th IEEE International Conference on Program Comprehension (ICPC '07);2007;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Machine Learning for Second Language Learning: Effects on Syntactic Processing in Garden-Path Sentences;2010 International Conference on Computational Intelligence and Software Engineering;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluating upper-limb EMG-prosthesis user performance by combining psychometric measures and classification-rates;2013 6th International IEEE/EMBS Conference on Neural Engineering (NER);2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Fuzzy c-Means Algorithms for Very Large Data;IEEE Transactions on Fuzzy Systems;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The representation problem in reverse engineering;[1993] Proceedings Working Conference on Reverse Engineering;1993;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Computers, ethics, law and society: what do we teach undergraduates?;1999 International Symposium on Technology and Society - Women and Technology: Historical, Societal, and Professional Perspectives. Proceedings. Networking the World (Cat. No.99CH37005);1999;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
New visualization technology to enhance situational awareness for system operators;2007 IEEE Power Engineering Society General Meeting;2007;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Models of programmer behaviour: a comparative study;Proceedings COMPSAC 88: The Twelfth Annual International Computer Software Applications Conference;1988;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Task Performance Under Deceptive Conditions: Using Military Scenarios in Deception Detection Research;Proceedings of the 38th Annual Hawaii International Conference on System Sciences;2005;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Semantic Approach of an Adaptive and Personalized Web-Based Learning Content-The Case of AdaptiveWeb;Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007);2007;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The design of a domain-specified visualization modeling language for warfare simulation based on meta-model;2013 IEEE 4th International Conference on Software Engineering and Service Science;2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Does Talking to a Robot in a High-Pitched Voice Create a Good Impression of the Robot?;2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Abduction's role in reverse engineering software;2012 IEEE National Aerospace and Electronics Conference (NAECON);2012;;;;;1;;;;;;;;;;;;Abductive reasoning;None;None;Central to the paper;;;;;;1;;The paper explores the role of abductive reasoning in reverse engineering. It provides a conceptual treatment of where in reverse engineering abductive reasoning could occur, so that the task of reverse engineering can be understood in more detail (conceptually speaking) and to consider ways in which AI systems could support reverse engineering.;1;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;;;;;;;;;C;;;;
A 7-DOF practical motion planner based on sequential framework: theory and experiments;Proceedings. IEEE International Symposium on Assembly and Task Planning;1995;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
AI-Powered Green Cloud and Data Center;IEEE Access;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software engineering for robotics [From the Guest Editors];IEEE Robotics Automation Magazine;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Artificial Intelligence Course Design: iSTREAM-based Visual Cognitive Smart Vehicles;2018 IEEE Intelligent Vehicles Symposium (IV);2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Measuring the impact of lexical and structural inconsistencies on developers' cognitive load during bug localization;Empirical Software Engineering;2019;;;;1;;;;;;;;;;;;;"Program comprehension,
Cognitive load";"Program comprehension, task performance, physiological measures (fNIRS: ""Oxy""), eye-tracking data (gaze path, fixation duration).";Using fNIRS and eye-tracking to measure cognitive load. Program comprehension assessed via questionnaires and task results.;Central to paper;1;;;1;;;;The paper studies program comprehension and cognitive load during bug localization by fNIRS and eye-tracking methods. Conclude that lexical inconsistencies increase cognitive load, while structural does not. However, both result in lower performance regarding time and success rate.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;1;1;1;J;;;;
Identification and Classification of~Expertise Using Eye Gaze{\textemdash}Industrial Use Case Study with Software Engineers;Springer Singapore, Communication and Intelligent Systems;2020;;;;1;;;;;;;;;;;;;Cognitive load, expertise. Visual attention, stress.;Task performance, eye movement metrics.;"Debugging task: Categorise software engineers into competency groups (high, average, low) based on performance. Eye-tracking: Categorise cognitive load as ""high"" or ""normal"" based on pupil size, blinks, fixation duration.";Central to the paper.;;1;;1;;;;"Eye tracking useful for assessment of expertise and comfort level. Relating cognitive load to competency. Presented how to categorise ""software testers"", possible application in recruitment processes.";1;1;;;;;;;;1;;;;;;;1;;;;;;;;;;1;;;;;;;;;;;;;1;1;;;1;J;;;;
Cognitive Load by Context-Sensitive Information Provision Using Binocular Smart Glasses in an Industrial Setting;Springer International Publishing, {HCI} in Business, Government and Organizations. Interacting with Information Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Effect of Cognitive Load in 3D Virtual Environments;Springer International Publishing, Human Systems Engineering and Design;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Reducing Cognitive Load for Anatomy Students with a Multimodal {ITS} Platform;Springer International Publishing, Intelligent Tutoring Systems;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software Engineering Design Principles Applied to Instructional Design: What can we Learn from our Sister Discipline?;{TechTrends};2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software Engineering: The End of the Crisis?;Springer International Publishing, Crisis Management for Software Development and Knowledge Transfer;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Exploration of Learning Effectiveness, Cognitive Load and Attitude on Mobile E-book Introduced in Nursing Education;Springer International Publishing, Emerging Technologies for Education;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Impact of Negative Correlations in Characterizing Cognitive Load States Using {EEG} Based Functional Brain Networks;Springer Singapore, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluating Impact of {AI} on Cognitive Load of Technicians During Diagnosis Tasks in Maintenance;Springer International Publishing, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Empirical Investigation of Cognitive Load Theory in Problem Solving Domain;Springer International Publishing, Intelligent Tutoring Systems;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Empirical Software Engineering;Springer International Publishing, Handbook of Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Feature Crumbs: Adapting Usage Monitoring to Continuous Software Engineering;Springer International Publishing, Product-Focused Software Process Improvement;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Knowledge Transfer: Manageable in Crisis?;Springer International Publishing, Crisis Management for Software Development and Knowledge Transfer;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Challenges of working with artifacts in requirements engineering and software engineering;Requirements Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Executive Functions and Their Relationship with Interaction Design;Springer International Publishing, Computer Science and Engineering{\textemdash}Theory and Applications;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Removing Software Development Waste to Improve Productivity;Apress, Rethinking Productivity in Software Engineering;2019;;;;;;;1;;;;;;;;; ;Cognitive load, knowledge loss and stress;Overall waste in software development management;Using participant-observation grounded theory on a software development organization over the course of 2.5 yrs.;Central to the paper;;1;1;1;;;;"9 factors for waste identified.Factors like cognitve load, stress, incorrect knowledge trasnfer and use of knowledge can lead to ""waste"" and inefficiency in software development. Some solutions have been provided for each.";1;;;;;;;;;1;;1;;;;;1;;;;;;;;;;1;;;;;;;;1;;;;1;;;;;;B;;;;
A problem posing-based practicing strategy for facilitating students' computer programming skills in the team-based learning mode;Educational Technology Research and Development;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{VMTL}: a language for end-user model transformation;Software {\&} Systems Modeling;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Formal modeling and analysis of safety-critical human multitasking;Innovations in Systems and Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Preface to the special issue on program comprehension;Empirical Software Engineering;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using the Summarizing Strategy to Engage Learners: Empirical Evidence in an Immersive Virtual Reality Environment;The Asia-Pacific Education Researcher;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a Software Architecture for Neurophysiological Experiments;Springer International Publishing, Information Systems and Neuroscience;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Ethics;Apress, The Full Stack Developer;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A comparative study of students and professionals in syntactical model comprehension experiments;Software and Systems Modeling;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Understandability of Models for Behaviour;Springer International Publishing, Communications in Computer and Information Science;2020;;;;;;;;;1;;;;;;;;Model comprehension, knowledge / expertise.;Task performance, understandability efficiency.;Participants describe what is communicated in UML statechart, measure accuracy per unit of time. Participants answer questions about different diagrams.;Central to the paper.;1;;;1;;;;Nested models are difficult to interpret for humans. They found an asymmetry in how participants understand entry vs. exit behaviour/actions.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;1;1;;;;J;;;;
Explicit programming strategies;Empirical Software Engineering;2020;; ;1; ;;;;;;;;;;;;;Problem solving,explicit strategies and reasoning.;Explicit programming strategies vs self guided developers on how problem solving is carried out;Task performance with and without explicit strategies given;Central to the paper.;1;1;1;1;;;;When given explicit programming strategies, developers found thier work to be more organized and effiicent. More success with guided solutions. One such solution proposed but further research is needed.;1;;;;;;;;;;;;;;;;;;;;;;1;1;;;;;;;;;;;;;1;1;1;;1;;;;J;;;;
Models of Instructional Design;{SensePublishers}, Instructional Design for Learning;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Impact of Associative Coloring and Representational Formats on Decision-Making: An Eye-Tracking Study;Springer International Publishing, Information Systems and Neuroscience;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
User Evaluation of Hand Gestures for Designing an Intelligent In-Vehicle Interface;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The effects of visualization and interaction techniques on feature model configuration;Empirical Software Engineering;2015;;;;;;1;;;;;;;;;;;comprehension;"comprehension
(impact of visualization)";time on task and accuracy were measured while task-performing;central to paper;1;;;1;;;;The paper is to find evidence that visualization and interaction techniques increase comprehension by decreasing the needed time and improving accuracy;1;1;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;;;;J;;;;
Rule Integration and Model Understanding: A Theoretical Underpinning;Springer International Publishing, Integrating Business Process Models and Rules;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Impedances of Memorable Passphrase Design on Augmented Cognition;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Studying the difference between natural and programming language corpora;Empirical Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding Process Models Using the Eye-Tracking: A Systematic Mapping;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Order Matters: Sequencing Scale-Realistic Versus Simplified Models to Improve Science Learning;Journal of Science Education and Technology;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Method to Identify Talented Aspiring Designers in Use of Personas with Personality;Springer International Publishing, Communications in Computer and Information Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Information Technology Infrastructure, Management, and Implementation: The Rise of the Emergent Clinical Information System and the Chief Medical Information Officer;Springer International Publishing, Surgical Patient Care;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluating a Graph Query Language for~Human-Robot Interaction Data in Smart Environments;Springer International Publishing, Software Technologies: Applications and Foundations;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
User-Centered Gestures for Mobile Phones: Exploring a Method to Evaluate User Gestures for {UX} Designers;Springer International Publishing, Design, User Experience, and Usability. User Experience in Advanced Technological Environments;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Absolute Indirect Touch Interaction: Impact of Haptic Marks and Animated Visual Feedback on Usability and User Experience;Springer International Publishing, Human-Centered Software Engineering;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Experimental Study on Decomposition: Process First or Structure First?;Springer International Publishing, Lecture Notes in Business Information Processing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Learning with intelligent tutors and worked examples: selecting learning activities adaptively leads to better learning outcomes than a fixed curriculum;User Modeling and User-Adapted Interaction;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards Measuring the Potential for Semantically Enriched Texts in Knowledge Working Environments;Springer International Publishing, {HCI} in Business, Government, and Organizations;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparing and experimenting machine learning techniques for code smell detection;Empirical Software Engineering;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Workstations of the Future for Transformational Gains in Solving Complex Problems;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Workshop videos for requirements communication;Requirements Engineering;2015;1;;;;;;;;;;;;;;;;Perception, knowledge (requirements understanding), communication.;Usefulness and acceptance of workshop videos.;Participants watch the workshop video and can make annotations. Afterwards, they answer a questionnaire to assess the perceived usefulness of the video technique for requirements communication.;Central to the paper, used for evaluating the proposed technique.;1;;1;1;;;;Proposal for easing the communication of rich requirements information (from stakeholders to developers) by video recorded requirements workshops. Evaluated pros and cons, and gives recommendations for using this technique successfully.;1;;;;;;;;;;;;;;;;;;;;;1;;;;;1;;;;;;;;1;;;1;;1;;;1;;J;;;;
Helping an Old Workforce Interact with Modern {IT}: A {NeuroIS} Approach to Understanding Technostress and Technology Use in Older Workers;Springer International Publishing, Information Systems and Neuroscience;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The life-cycle of merge conflicts: processes, barriers, and strategies;Empirical Software Engineering;2019;;;;;1;;;;;;;;;;;;"Awareness (of merge conflicts)
Knowledge (of code area subject to merge conflict)
Perception (of merge conflict resolutions)
Program comprehension (of codes area subject to merge conflict)";Merge conflict processes, barriers, and resolution strategies;"Interviews
Surveys (barriers and processes)";Supports the understanding of how developers handle merge conflicts;;1;;1;;;;The paper investigates how software developers handle merge conflicts. It finds that developers use reactive strategies to monitor for merge conflicts, that deferring responses to merge conflicts are based on perceived complexity of the conflicting code, that deferring affects the team workflow, that developers rely on perception to visually evaluate merge conflict resolutions, and that their perceptions alter tool and process impact.;1;;;;;;;;;;;;;;;;;;;;;1;1;;;;1;1;;;;;;;;;1;;;;;;1;;J;;;;
A systematic review of software usability studies;International Journal of Information Technology;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{UTAUT}-{QiU}: Technology Acceptance Evaluation Model with Integrated Quality-in-Use Assessment for Mobile {UI} Adapted for Low- and Post-literate Users;Springer International Publishing, Advances in Intelligent Systems and Computing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards Model Quality Assurance for Multi-Disciplinary Engineering;Springer International Publishing, Multi-Disciplinary Engineering for Cyber-Physical Production Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Usability Problems Experienced by Different Groups of Skilled Internet Users: Gender, Age, and Background;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Executable Formal Framework for Safety-Critical Human Multitasking;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
New Techniques;Springer International Publishing, Software Development Measurement Programs;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Engaging with {STEM} Students: Successes and Challenges in Course Design;Springer Singapore, Blended Learning Designs in {STEM} Higher Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{NASA}-{TLX}{\textendash}based workload assessment for academic resource recommender system;Personal and Ubiquitous Computing;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{\textquotedblleft}I Know It When I See It{\textquotedblright}: How Experts and Novices Recognize Good Design;Springer International Publishing, Understanding Innovation;2018;;1;;;;;;;;;;;;;;;Perception, cognitive load.;Task performance, perceived mental effort / cognitive load.;Participants (novices and experts) complete tasks, in which they either have to rate websites' design on a scale from 1 to 9 or select the visually more appealing website from pairs of two. Cognitive load is assessed via NASA TLX questionnaire.;Central to the paper.;;1;;1;;;;"Novices' ability to recognise good design is almost as accurate as experts'. ""Good design"" is subjective, but still there is a high level of agreement, based on natural design intuition of people. Paper gives suggestions / ideas for future design tools.";1;;;;;;;;;1;;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;1;1;;1;;J;;;;
A field study of how developers locate features in source code;Empirical Software Engineering;2015;;;;;1;;;;;;;;;;;;Behaviour;"Developer behaviour during feature location
(via ""frequency and types of code search tools used"", their behaviour ""before and after search"", ""types of queries issued by developers"", ""complex feature location patterns"").";Data collected/recorded during the developers' normal work. Two data sets: IDE interactions, search tool queries.;Cognitive aspects do not play any central role in this paper. The results are only of behavioural nature. Therfore, further classification into cognitive concepts is not possible.;;1;;1;;;;"The paper does not explicitly measure the cognitve concepts. The only findings are on developers' behaviour during feature location in software maintenance activities. Article confirms some earlier findings. Additional results on behaviour: developers prefer search tools that are not too specific; searching occurs directly after opening software project; switching between queries and naviagtion.";1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;;1;;;;1;J;;;;
Guidelines for Designing User Interfaces to Analyze Genetic Data. Case of Study: {GenDomus};Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Reducing Interruptions at Work with {FlowLight};Apress, Rethinking Productivity in Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{AHR}: Human-Centred Aspects of Test Design;Springer International Publishing, Communications in Computer and Information Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Extended Cognition Hypothesis Applied to Computational Thinking in Computer Science Education;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Fuzzy Logic Utility Framework ({FLUF}) to Support Information Assurance;Springer International Publishing, Software Engineering Research, Management and Applications;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{SitAdapt}: An Architecture for Situation-Aware Runtime Adaptation of Interactive Systems;Springer International Publishing, Human-Computer Interaction. User Interface Design, Development and Multimodality;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Engineering digital motivation in businesses: a modelling and analysis framework;Requirements Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Hazard Relation Diagrams: a diagrammatic representation to increase validation objectivity of requirements-based hazard mitigations;Requirements Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assessing the impact of real-time machine translation on multilingual meetings in global software projects;Empirical Software Engineering;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{\textquotedblleft}Boring Formal Methods{\textquotedblright} or {\textquotedblleft}Sherlock Holmes Deduction Methods{\textquotedblright}?;Springer International Publishing, Software Technologies: Applications and Foundations;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparative Analysis of Usability of Data Entry Design Patterns for Mobile Applications;Springer International Publishing, Intelligent Information and Database Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Stop the Mob! Pre-service Teachers Designing a Serious Game to Challenge Bullying;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Quantified Self: Big Data Analysis Platform for Human Factor Efficacy Evaluation of Complex System;Springer International Publishing, Human Centered Computing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Designing Affordances for Virtual Reality-Based Services with Natural User Interaction;Springer International Publishing, Design, User Experience, and Usability: Technological Contexts;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Learning from Errors as a Pedagogic Approach for Reaching a Higher Conceptual Level in Database Modeling;Springer International Publishing, Lecture Notes in Business Information Processing;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Classifying Cognitive Workload Using Eye Activity and {EEG} Features in Arithmetic Tasks;Springer International Publishing, Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Considerations about quality in model-driven engineering;Software Quality Journal;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Cognitive Framework Based on Rewriting Logic for the Analysis of Interactive Systems;Springer International Publishing, Software Engineering and Formal Methods;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Automated Extraction and Visualization of Spatial Data Obtained by Analyzing Texts About Projects of Arctic Transport Logistics Development;Springer International Publishing, Intelligent Systems Applications in Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Importance of Specific Usability Guidelines for Robot User Interfaces;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{NERVE}, {InterPLAY}, and Design-Based Research: Advancing Experiential Learning and the Design of Virtual Patient Simulation;Springer International Publishing, Learning, Design, and Technology;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Descriptive theory of awareness for groupware development;Journal of Ambient Intelligence and Humanized Computing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Beauty and the Beast: on the readability of object-oriented example programs;Software Quality Journal;2015;;;;; ;;;;;;;;;;;; ;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Microservices tenets;Computer Science - Research and Development;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Managing to release early, often and on time in the {OpenStack} software ecosystem;Journal of Internet Services and Applications;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{DevOps} Round-Trip Engineering: Traceability from Dev to Ops and Back Again;Springer International Publishing, Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Actor's social complexity: a proposal for managing the {iStar} model;Journal of Software Engineering Research and Development;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Retrospective and Future Automotive Infotainment Systems{\textemdash}100~Years of User Interface Evolution;Springer International Publishing, Automotive User Interfaces;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Approach to Adaptive Testing Implementation in Virtual Maritime English Language Learning Environment Based on a Spaced Repetition System;Springer Singapore, Teaching Language and Teaching Literature in Virtual Environments;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Sketching Process Models by Mining Participant Stories;Springer International Publishing, Lecture Notes in Business Information Processing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improvement Strategies for Manufacturers Using the {MESA} {MOM} Capability Maturity Model;Springer International Publishing, Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{ROS}-Based Cognitive Surgical Robotics;Springer International Publishing, Studies in Computational Intelligence;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{CoqTL}: a Coq {DSL} for rule-based model transformation;Software and Systems Modeling;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Interactive digital storytelling: bringing cultural heritage in a classroom;Journal of Computers in Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Wizard-of-Oz Support Using a Portable Dialogue Corpus;Springer International Publishing, Principles and Practice of Multi-Agent Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Multiscale Analysis of Textual Content Using Eyegaze;Springer Berlin Heidelberg, Lecture Notes in Computer Science;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Characterising the Quality of Behaviour Driven Development Specifications;Springer International Publishing, Lecture Notes in Business Information Processing;2020;;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Toward a methodology for case modeling;Software and Systems Modeling;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Research Methodology;Springer International Publishing, Progress in {IS};2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Poirot: A Web Inspector for Designers;Springer International Publishing, Understanding Innovation;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Fuzzy Multi-criteria Decision Making Methods Applied to Usability Software Assessment: An Annotated Bibliography;Springer International Publishing, Complex Systems: Solutions and Challenges in Economics, Management and Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Practical Approach to Teaching Agile Methodologies and Principles at Tertiary Level Using Student-Centred Activities;Springer Singapore, Agile and Lean Concepts for Teaching and Learning;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Users Perspective of Educational Technology;Springer Singapore, Educational Technology;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Fragment-based spreadsheet debugging;Automated Software Engineering;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Interactive Animation Editing Based on Sketch Interaction;Springer International Publishing, Challenges and Opportunity with Big Data;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Sonification: An Overview;Springer International Publishing, Human{\textendash}Computer Interaction Series;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Semantic Search Tools Based on Ontological Representations of Documentary Information;Automatic Documentation and Mathematical Linguistics;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Systems Thinking Approach to a Story-Centered Curriculum Design and Application in Japanese Higher Education;Springer International Publishing, Learning, Design, and Technology;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Educational App Creation for the Cathedral in Freiberg;Springer International Publishing, Competencies in Teaching, Learning and Educational Leadership in the Digital Age;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Computing for Electronic Medical Records;Springer International Publishing, Health Informatics;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Strictly Objects First: A Multipurpose Course on Computational Thinking;Springer International Publishing, Computational Thinking in the {STEM} Disciplines;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Optimizing Pattern Weights with a Genetic Algorithm to Improve Automatic Working Memory Capacity Identification;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Facilitating the Evolutionary Modifications in Distributed Apps via Automated Refactoring;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The development of assistive dementia technology that accounts for the values of those affected by its use;Ethics and Information Technology;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluation of Child-Friendly Augmented Reality Tool for Patient-Centered Education in Radiology and Bone Reconstruction;Springer International Publishing, Advances in Experimental Medicine and Biology;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Esteemed software patterns for banking system;Cluster Computing;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Natural Language Insights from Code Reviews that Missed a Vulnerability;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;1;;;;;;;;;;;;Memory, cognitive load. Inquiistivenesss;Code review messages are measured on 4 metrics, inquisitiveness, Sentiment and complexity are measures for the cognitive aspects.;Large data sets of SE's code reviews and thier messages were analyzed using assesment mertics for aspects liek inquisitiveness and complexity.;Improvements made in lowering cognitive load  in code review can improve code review success. ;;1;;1;;;;The research found that code reviews with lower inquisitiveness, higher sentiment, and lower complexity were more likely to miss a vulnerability.;1;;;;1;1;;;;1;;;;;;;;;;;1;;;;;;;;;;;;;;;;;;;1;1;;1;;C;;;;
Four Ironies of Self-quantification: Wearable Technologies and the Quantified Self;Science and Engineering Ethics;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Perspectives on how to evaluate augmented reality technology tools for education: a systematic review;Journal of the Brazilian Computer Society;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
On the Use of {ISO}/{IEC} Standards to Address Data Quality Aspects in Big Data Analytics Cloud Services;Springer International Publishing, Business Information Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assessing Students' Clinical Reasoning Using Gaze and {EEG} Features;Springer International Publishing, Intelligent Tutoring Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Study of the Impact of Internal and External Usability on Knowledge Transfer by the Means of Mobile Technologies: Preliminary Results;Springer International Publishing, Information Systems: Research, Development, Applications, Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Discourse Particles in Human-Human and Human-Computer Interaction {\textendash} Analysis and Evaluation;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python Tutor;International Journal of Artificial Intelligence in Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Developing Usability Heuristics for Recommendation Systems Within the Mobile Context;Springer International Publishing, Design, User Experience, and Usability. Practice and Case Studies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Set of Usability Heuristics for Mobile Applications;Springer International Publishing, Human-Computer Interaction. Perspectives on Design;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Deriving Features for Designing Ambient Media;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Customizable Virtual Reality Framework for the Rehabilitation of Cognitive Functions;Springer International Publishing, Recent Advances in Technologies for Inclusive Well-Being;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Research on the Effect of Visual Conventions on Perception and Inference;Springer International Publishing, Design, User Experience, and Usability: Theory, Methodology, and Management;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Introduction;Springer International Publishing, Software Developers as Users;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Quality characteristics and measures for human{\textendash}computer interaction evaluation in ubiquitous systems;Software Quality Journal;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software Assurance in an Uncertain World;Springer International Publishing, Fundamental Approaches to Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Model-based diagnosis of spreadsheet programs: a constraint-based debugging approach;Automated Software Engineering;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Theoretical Foundations;Springer International Publishing, Progress in {IS};2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Defining an Indicator for Navigation Performance Measurement in {VE} Based on {ISO}/{IEC}15939;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
You Are Not Netflix;Springer International Publishing, Microservices;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving the pull requests review process using learning-to-rank algorithms;Empirical Software Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Increasing the Semantic Transparency of the {KAOS} Goal Model Concrete~Syntax;Springer International Publishing, Conceptual Modeling;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparison User Engagement of Gamified and Non-gamified Augmented Reality Assembly Training;Springer International Publishing, Lecture Notes in Business Information Processing;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Piaget's Cognitive Development in Bebras Tasks - A Descriptive Analysis by Age Groups;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The nonfunctional requirement focus in medical device software: a systematic mapping study and taxonomy;Innovations in Systems and Software Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Collaboration Engineering for Group Decision and Negotiation;Springer International Publishing, Handbook of Group Decision and Negotiation;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Study on Learner's Interest Mining Based on {EEG} Signal Analysis;Springer Singapore, Computer Supported Cooperative Work and Social Computing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Neuroeducation and Computer Programming: A Review;Springer International Publishing, Advances in Experimental Medicine and Biology;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Lecturus: Collaborative Mobile Phone Lecture Recording;Springer International Publishing, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
End-User Development for Serious Games;Springer International Publishing, New Perspectives in End-User Development;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Algorithms and Logic as Programming Primers;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a Definition of Simplicity in Agile Software Development: A Focus Group Study;Springer International Publishing, Agile Methods;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Next 7000 Programming Languages;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field;Springer International Publishing, Learning Analytics: Fundaments, Applications, and Trends;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Scale-Driven Automatic Hint Generation for Coding Style;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A critical review of 13 years of mobile game-based learning;Educational Technology Research and Development;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Interactive 3D Visualisations in Neuropsychiatric Education;Springer International Publishing, Advances in Experimental Medicine and Biology;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Migrating to Microservices;Springer International Publishing, Microservices;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{\textquotedblleft}We're Seeking Relevance{\textquotedblright}: Qualitative Perspectives on the Impact of Learning Analytics on Teaching and Learning;Springer International Publishing, Data Driven Approaches in Digital Education;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Processes and Models for Serious Game Design and Development;Springer International Publishing, Entertainment Computing and Serious Games;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Conceptual Design Model of {iCAL}4LA: A Review and Critical Analysis of Computer Assisted Learning Concept in Determining the Core Segments and Their Components;Springer Singapore, Lecture Notes in Electrical Engineering;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Does the Migration of Cross-Platform Apps Towards the Android Platform Matter? An Approach and a User Study;Springer International Publishing, Product-Focused Software Process Improvement;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Metro Map Colour-Coding: Effect on Usability in Route Tracing;Springer International Publishing, Diagrammatic Representation and Inference;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{UAS} Operator Workload Assessment During Search and Surveillance Tasks Through Simulated Fluctuations in Environmental Visibility;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Rambla: Supporting Collaborative Group Creativity for the Purpose of Concept Generation;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Business Rule Modelling Decision Framework;Springer International Publishing, Integrating Business Process Models and Rules;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
3D Virtual World {BPM} Training Systems: Process Gateway Experimental Results;Springer International Publishing, Advanced Information Systems Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Design guidelines for augmenting short-form videos using animated data visualizations;Journal of Visualization;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Who Is Behind the Model? Classifying Modelers Based on Pragmatic Model Features;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Equipping the {ACT}-R cognitive architecture with a temporal ratio model of memory and using it in a new intelligent adaptive interface;User Modeling and User-Adapted Interaction;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Selling the System;Apress, Building Design Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Development Environment and Workflow;Apress, Microservices From Day One;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Microworlds, Objects First, Computational Thinking and Programming;Springer International Publishing, Computational Thinking in the {STEM} Disciplines;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
How do humans inspect {BPMN} models: an exploratory study;Software {\&} Systems Modeling;2016;;;;;;;;1;;;;;;;;Cognitive load theory. (briefly mentioned, but no details);Model comprehension. (Mental effort, cognitive load and domain knowledge just briefly mentioned).;Strategies for process model inspection.;Task-based: Participants evaluate two process models and identify occurring quality issues. At the same time: think-aloud method. Analysis of the results applies grounded theory methods.;Not too strong, it is more mentioned as possible explanation for chosen strategies. The cognitive aspects do not play as much of a role here, as the paper makes believe in the beginning.;1;1;;1;;;;Persons apply similar strategies for process model inspection. In this paper, these strategies were grouped into three different categories.;1;;;;;;;;;?;;;;;;;;;;;;;;1;;;?;;;;;;;;1;;;1;;1;;;1;;;;;;
Blended Learning: Beyond Technology to Pedagogical Structure Design;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Diversity in Massively Multi-agent Systems: Concepts, Implementations, and Normal Accidents;Springer International Publishing, Massively Multi-Agent Systems {II};2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Model-based learning: a synthesis of theory and research;Educational Technology Research and Development;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Collaborative Activities and Methods;Springer International Publishing, Automation, Collaboration, {\&} E-Services;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Selecting a process variant modeling approach: guidelines and application;Software {\&} Systems Modeling;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Early Designs, Prototypes, and Learning Sequences for Exploration and Decision Making;Springer International Publishing, Designing Instruction For Open Sharing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Unpacking the Inherent Design Principles of Mobile Microlearning;Technology, Knowledge and Learning;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Engineering of Augmented Reality-Based Information Systems;Business {\&} Information Systems Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Collaborative Autonomy Between High-Level Behaviors and Human Operators for Control of Complex Tasks with Different Humanoid Robots;Springer International Publishing, Springer Tracts in Advanced Robotics;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Revision of the Literature Concerned with Mobile, Ubiquitous, and Pervasive Learning: A Survey;Springer International Publishing, Advances in Intelligent Systems and Computing;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Road Safety: Human Factors Aspects of Intelligent Vehicle Technologies;Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Case Studies;Springer International Publishing, Designing Digital Work;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Data Quality in Clinical Research;Springer International Publishing, Health Informatics;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Thinking Different;Springer International Publishing, Transdisciplinary Systems Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Polyglot Services;Apress, Microservices From Day One;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Exploring the Requirements and Design of Persuasive Intervention Technology to Combat Digital Addiction;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Dealing with Comprehension and Bugs in Native and Cross-Platform Apps: A Controlled Experiment;Springer International Publishing, Product-Focused Software Process Improvement;2019;;1;;1;;;;;;;;;;;;;"program comprehension
cognitive load";"program comprehension
ability to identify and fix bugs in the source code";"task -performance where participants were to localize and fix bugs
task-performance for general comprehension
post questionnaire to assess difficulty";central to paper;1;;;1;;;;Paper is to find results regarding the comprehension and ability to find and fix bugs in the source code of native and cross-platform apps. It concludes that there is no statistically significant difference.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;;1;;1;;C;;;;
Evaluation of the Usability and Playability of an Exergame for Executive Functions Stimulation and Its Development Process;Springer International Publishing, Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Empirical Assessment on Affective Reactions of Novice Developers When Applying Test-Driven Development;Springer International Publishing, Product-Focused Software Process Improvement;2019;;;1;1;;;;;;;;;;;;Dimensional theory (of affective states).;Pleasure, arousal, dominance, liking. Attitude.;Affective reactions. Performance.;Novice developers perform one of two development tasks (TDD or non-TDD) within three hours. Afterwards they fill in Self-Assessment Manikin (SAM) extended by liking dimension. Performance as number of user stories they managed to implement within given time.;Central to the paper, but possibly too much focused on emotional aspect (consider IC1c).;1;;;1;;;;In general, the novice developers like their own approach more than TDD. In non-TDD compared to TDD, they also like the implementation phase more. When using TDD, the testing phase makes them less happy than in non-TDD approach. (No impact on performance observed in this short-time experiment.);?;;;;;;;;;;;;1;;;;;;;1;1;;;;;;;;;;;;;;;;;;;1;1;;1;;;;;;
{IoT} composition based on self-controlled services;Journal of Ambient Intelligence and Humanized Computing;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Multi-domain Framework for Modelling Educational Games: Towards the Development of Effective Educational Games;Springer Singapore, 7th International Conference on University Learning and Teaching ({InCULT} 2014) Proceedings;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The {SigniFYI} Suite;Springer International Publishing, Software Developers as Users;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Preference Feedback for Driving in an Unfamiliar Traffic Regulation;Springer International Publishing, Service Research and Innovation;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Eye Tracking Experiments on Process Model Comprehension: Lessons Learned;Springer International Publishing, Enterprise, Business-Process and Information Systems Modeling;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Study on Spatiotemporal Characteristics of Gaze Gesture Input;Springer International Publishing, Human-Computer Interaction. Recognition and Interaction Technologies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Interactive Recommender System for Group Holiday Decision-Making;Springer International Publishing, Design, User Experience, and Usability: Designing Interactions;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Compatibility as a Mechanism for Responsible Further Processing of Personal Data;Springer International Publishing, Privacy Technologies and Policy;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Mobile Interface Attentional Priority Model;{SN} Computer Science;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{BehavioCog}: An Observation Resistant Authentication Scheme;Springer International Publishing, Financial Cryptography and Data Security;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{EEG} Signal Analysis in 3D Modelling to Identify Correlations Between Task Completion in Design User's Cognitive Activities;Springer International Publishing, Neural Information Processing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Research on Car Gesture Interaction Design Based on the Line Design;Springer International Publishing, Cross-Cultural Design;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Findings;Springer International Publishing, Progress in {IS};2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Visual Logical Language for System Modelling in Combinatorial Test Design;Springer International Publishing, Lecture Notes in Business Information Processing;2016;;1;;1;;;;;;;;;;;;;"cognitive load
human error";;;central to paper;;1;1;;;;;Paper proposes a new logical language to lower cognitive load for test design of software systems.;1;1;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;C;;;;
Digitalizing Occupational Health, Safety and Productivity for the Operator 4.0;Springer International Publishing, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Information Support for Supplier Kit Preparation;Springer International Publishing, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Applicability Study of Eye Movement Menu based on Analytic Hierarchy Process;Springer International Publishing, Human-Computer Interaction. Recognition and Interaction Technologies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Training Teacher in the Generation of Knowledge in Higher Education: b-Learning Teacher to Prosumer Teacher;Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparison Between the Methods of Adjustment and Constant Stimuli for the Estimation of Redirection Detection Thresholds;Springer International Publishing, Virtual Reality and Augmented Reality;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Influence of Task-Oriented Human-Machine Interface Design on Usability Objectives;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Usability Attributes for Mobile Applications: A Systematic Review;Springer International Publishing, Recent Trends and Advances in Wireless and {IoT}-enabled Networks;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Insights into Business Process Model Comprehension: Preliminary Results for Experienced and Inexperienced Individuals;Springer International Publishing, Enterprise, Business-Process and Information Systems Modeling;2017;;;;;;;;1;;;;;;;;;Process model comprehension, expertise.;Task performance, eye movements.;Participants (novices and intermediates) try to understand three process models of increasing difficulty and answer comprehension questions. At the same time: tracking and recording of their eye movements.;"The aspect of ""model comprehension"" is central to the paper.";1;1;;1;;;;Both novices and intermediates have similar difficulties in reading and understanding business process models.;1;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;;;;;;1;1;;;1;C;;;;
Quantitative Risk Assessment of Safety-Critical Systems via Guided Simulation for Rare Events;Springer International Publishing, Leveraging Applications of Formal Methods, Verification and Validation. Verification;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Rediscovering Isotype from a Cognitive Perspective;Springer International Publishing, Diagrammatic Representation and Inference;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Business Process Compliance Using Reference Models of Law;Springer International Publishing, Fundamental Approaches to Software Engineering;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Optimize the Flow of Web Banners Design;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparing sighted and blind users task performance in responsive and non-responsive web design;Knowledge and Information Systems;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Empirical Review of the Connection Between Model Viewer Characteristics and the Comprehension of Conceptual Process Models;Information Systems Frontiers;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Process-Based Approach to Test Usability of Multi-platform Mobile Applications;Springer International Publishing, Design, User Experience, and Usability: Design Thinking and Methods;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Visualizing Big Data;Springer International Publishing, Big Data Technologies and Applications;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Utilizing a smart cognitive support system for K-8 education;Smart Learning Environments;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Testing Test-Driven Development;Springer International Publishing, Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Scaffolding Relational Schemas and {APIs} from~Content in Web Mockups;Springer International Publishing, Conceptual Modeling;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Slicing {ATL} model transformations for scalable deductive verification and fault localization;International Journal on Software Tools for Technology Transfer;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Existing Business Process Models for Model Construction of Multidimensional Business Knowledge: An {MDA}-Based Transformation Methodology;New Generation Computing;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{CoqTL}: An Internal {DSL} for Model Transformation in Coq;Springer International Publishing, Theory and Practice of Model Transformation;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Effect of Rule Linking on Business Process Model Understanding;Springer International Publishing, Integrating Business Process Models and Rules;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards the Component-Based Approach for Evaluating Process Diagram Complexity;Springer International Publishing, Lecture Notes in Business Information Processing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Executing Scenario-Based Specification with Dynamic Generation of Rich Events;Springer International Publishing, Communications in Computer and Information Science;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Systematic Literature Review of Social Network Systems for Older Adults;Springer International Publishing, Product-Focused Software Process Improvement;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Creative Teaching Competence and {EdTech}: Total Pedagogy;Springer Singapore, Creative Teachers;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Purple Sky Framework Towards the Flight Deck of the Future Experience: Through Co-design, Rapid {UX} Prototyping, and User Testing;Springer International Publishing, Advances in Intelligent Systems and Computing;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Implementation of {AI};Apress, Artificial Intelligence Basics;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Emotions Along the Design Thinking Process;Springer International Publishing, Understanding Innovation;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the Effect of Agency on Learning from Worked Examples, Erroneous Examples and Problem Solving;International Journal of Artificial Intelligence in Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Exploring the Modeling of Declarative Processes Using a Hybrid Approach;Springer International Publishing, Conceptual Modeling;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Circle of Health Based Access Control for Personal Health Information Systems;Springer International Publishing, Graphical Models for Security;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Predicting Java Computer Programming Task Difficulty Levels Using {EEG} for Educational Environments;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assigning a Personality to a Spoken Dialogue Agent by Behavior Reporting;New Generation Computing;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluating Knowledge Anchors in Data Graphs Against Basic Level Objects;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A case study about the improvement of business process models driven by indicators;Software {\&} Systems Modeling;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Seamless Interactive Program Verification;Springer International Publishing, Lecture Notes in Computer Science;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
On the Need for a New Generation of Code Review Tools;Springer International Publishing, Product-Focused Software Process Improvement;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Idea-configuration-evaluation ({ICE}): development and demonstration of a new prescriptive model of the conceptual engineering design process based on parameter analysis and C{\textendash}K theory;Research in Engineering Design;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Framework for the Visualisation of Cyber Security Requirements and Its Application in {BPMN};Springer International Publishing, Computer Communications and Networks;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Adjustable autonomy: a systematic literature review;Artificial Intelligence Review;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Staged model evolution and proactive quality guidance for model libraries;Software Quality Journal;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{BCI}-Related Research Focus at {HCI} International Conference;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Guidelines for Education in Business and Information Systems Engineering at Tertiary Institutions;Business {\&} Information Systems Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{IDC} theory: interest and the interest loop;Research and Practice in Technology Enhanced Learning;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The {SIETTE} Automatic Assessment Environment;International Journal of Artificial Intelligence in Education;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Team {VALOR}'s {ESCHER}: A Novel Electromechanical Biped for the {DARPA} Robotics Challenge;Springer International Publishing, Springer Tracts in Advanced Robotics;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Introduction;Springer Fachmedien Wiesbaden, Learning Dynamic Spatial Relations;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Augmented {ODV}: Web-Driven Annotation and Interactivity Enhancement of 360 Degree Video in Both 2D and 3D;Springer International Publishing, Lecture Notes in Business Information Processing;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Study on Integrated Design Process of Software and Hardware Interfaces for Automotive Human-Machine Interaction;Springer International Publishing, Cross-Cultural Design. Methods, Tools and User Experience;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{MOOCs} for Research: The Case of the Indiana University Plagiarism Tutorials and Tests;Technology, Knowledge and Learning;2016;;;;;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Describing Criteria for Selecting a Scrum Tool Using the Technology Acceptance Model;Springer International Publishing, Intelligent Information and Database Systems;2017;;;;;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition;International Journal of Computer-Supported Collaborative Learning;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Human Factors Considerations in Mobile Learning Management Systems;Springer International Publishing, Advances in Intelligent Systems and Computing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Teaching Without a Net: Mindful Design Education;Springer International Publishing, Design Education Today;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Fairy Houses: A Creative Engineering Experience;Springer International Publishing, Learning and Collaboration Technologies. Technology in Education;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
How to Evaluate the Usability of Smart Devices as Conceivable Work Assistance: A Systematic Review;Springer Berlin Heidelberg, Advances in Ergonomic Design of Systems, Products and Processes;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Animation to Enrich Learning Experience in Sketch-Based Physics Tutoring Systems;Springer International Publishing, Human{\textendash}Computer Interaction Series;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges;Cognitive Computation;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
First Impressions and Acceptance of Order Pickers Towards Using Data Glasses at a Simulated Workstation;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assessing Similarity for Case-Based Web User Interface Design;Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Digital Empathic Games and Their Relation with Mortality: Analysis of Discussion Forums;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Ontology-based end-user visual query formulation: Why, what, who, how, and which?;Universal Access in the Information Society;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Students' perception of Kahoot!'s influence on teaching and learning;Research and Practice in Technology Enhanced Learning;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Logging Framework for the Evaluation of Interactive Systems;Springer International Publishing, Simulation-Based Usability Evaluation of Spoken and Multimodal Dialogue Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Game-Thinking Within Social Media to Recruit and Select Job Candidates;Springer International Publishing, Social Media in Employee Selection and Recruitment;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Design Process;Springer International Publishing, Designing Digital Musical Instruments Using Probatio;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
From Autonomy to Cooperative Traded Control of Humanoid Manipulation Tasks with Unreliable Communication;Journal of Intelligent {\&} Robotic Systems;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Going Global: Understanding English Language Learners' Student Motivation in English-Language {MOOCs};International Journal of Artificial Intelligence in Education;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Exploring Applications of Formal Methods in the {INSPEX} Project;Springer International Publishing, Software Technologies: Applications and Foundations;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Higher education dominance and siloed knowledge: a systematic review of flipped classroom research;International Journal of Educational Technology in Higher Education;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Digital Workplace Case Study;Apress, Build a Next-Generation Digital Workplace;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{DanMOOC}: Enhancing Content and Social Interaction in {MOOCs} with Synchronized Commenting;Springer International Publishing, Cross-Cultural Design;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Why Johnny Doesn't Use Two Factor A Two-Phase Usability Study of the {FIDO} U2F Security Key;Springer Berlin Heidelberg, Financial Cryptography and Data Security;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
User-Experience-Based Visual Design Study for Carrier Optical Landing-Aid System;Springer International Publishing, Design, User Experience, and Usability: Designing Interactions;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Tabletop 3D Object Manipulation with Touch and Tangibles;Springer International Publishing, Collaboration Meets Interactive Spaces;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Making the Domain Tangible: Implicit Object Lookup for Source Code Readability;Springer International Publishing, Understanding Innovation;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Representing and Evaluating Strategies for Solving Parsons Puzzles;Springer International Publishing, Intelligent Tutoring Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Off-Screen Landmarks on Mobile Devices: Levels of Measurement and the Perception of Distance on Resized Icons;"{KI} - K{\""u}nstliche Intelligenz";2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Difference in Cognitive Processing Between Route and Survey Descriptions Used by Visuo-Spatial Working Memory;Springer International Publishing, Spatial Cognition X;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Approach to Analysis of Physiological Responses to Stimulus;Springer International Publishing, Design, User Experience, and Usability. Design Philosophy and Theory;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Effects of working memory, attention, and expertise on pilots' situation awareness;Cognition, Technology {\&} Work;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Gadgile Probing: Supporting Design of Active Mobile Interactions;Springer International Publishing, Design, User Experience, and Usability: Design Thinking and Methods;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Survey of Biometric Techniques for Automotive Applications;Springer International Publishing, Advances in Intelligent Systems and Computing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Effect of Linked Rules on Business Process Model Understanding;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Literature Review of the Research on Interaction Mode of Self-driving Cars;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Framework to Navigate the Privacy Trade-offs for Human-Centred Manufacturing;Springer International Publishing, {IFIP} Advances in Information and Communication Technology;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Digital Workplace Development;Apress, Build a Next-Generation Digital Workplace;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Enhanced Sketchnoting Through Semantic Integration of Learning Material;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Pitfalls and Potentials of Home Energy Monitoring Feedback: An Information Experience Critique;Springer International Publishing, Design, User Experience, and Usability: Novel User Experiences;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Interactive Projection Mapping as a Spatial Augmented Reality to Help Collaborative Design: Case Study in Architectural Design;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A New Sharing Paradigm for the Personal Cloud;Springer International Publishing, Trust, Privacy and Security in Digital Business;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{WOF}: Towards Behavior Analysis and Representation of Emotions in Adaptive Systems;Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Three Column Website Layout vs. Grid Website Layout: An Eye Tracking Study;Springer International Publishing, Design, User Experience, and Usability: Designing Interactions;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Analysis of {CAD} Modeling Procedure Data Collection Using Synchronous and Retrospective Think Aloud Techniques;Springer International Publishing, Human-Computer Interaction. User Interface Design, Development and Multimodality;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Study on Tangible Participative Enterprise Modelling;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Metaphors and Embodiment in Virtual Reality Systems;Springer International Publishing, Design, User Experience, and Usability: Technological Contexts;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Human/machine/roboter: technologies for cognitive processes;e {\&} i Elektrotechnik und Informationstechnik;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Gathering and Applying Guidelines for Mobile Robot Design for Urban Search and Rescue Application;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Framework for Computer-Aided Design of Educational Domain Models;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Autonomous Retailing: A Frontier for Cyber-Physical-Human Systems;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Analysis of Users' Mental Model and Expectations from Usability and Information Design Point of View in e-Contracts: A Case of Hotel Reservation;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software as a Medium for Understanding Human Behavior;Springer International Publishing, Human-Computer Interaction. User Interface Design, Development and Multimodality;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Training Job Interview Online Simulator for Hearing-Impaired People;Springer International Publishing, Computer Science {\textendash} {CACIC} 2019;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Multi-Agent Traffic Simulation for Development and Validation of Autonomic Car-to-Car Systems;Springer International Publishing, Autonomic Road Transport Support Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Summarizing agent strategies;Autonomous Agents and Multi-Agent Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Visualization Principles for Facilitating Strategy Development Process in the Organization;Springer International Publishing, Advances in Visual Informatics;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Research on Design Model of Human-Machine Interface of Automatic Driving Takeover System Based on User Experience;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Utilizing gestures to enable visually impaired for computer interaction;{CSI} Transactions on {ICT};2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Process Mining and Privacy in Smart Manufacturing;Informatik Spektrum;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{RESTful} Conversation with {RESTalk};Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
User's Emotional {eXperience} Analysis of Wizard Form Pattern Using Objective and Subjective Measures;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Universal Control Construct for Abstract State Machines;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Composition of Verification Assets for Software Product Lines of Cyber Physical Systems;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Enhancing {UML} Class Diagram Abstraction with Page Rank Algorithm and Relationship Abstraction Rules;Springer International Publishing, Service-Oriented Computing {\textendash} {ICSOC} 2016 Workshops;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{RECODE}: revision control for digital images;Multimedia Tools and Applications;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Valid {BPMN} Extension for Supporting Security Requirements Based on Cyber Security Ontology;Springer International Publishing, Model and Data Engineering;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
What Do Studies of Learning Analytics Reveal About Learning and Instruction? A Systematic Literature Review;Springer International Publishing, Learning, Design, and Technology;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Participation Constraints and Forks;Springer New York, Model-Based Systems Engineering with {OPM} and {SysML};2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
In Conclusion: The Future Internet of Things and Security of Its Control Systems;Springer International Publishing, Advances in Information Security;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;Springer International Publishing, New Perspectives in End-User Development;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Information Design Elements in Videogames: A Proposed Classification;Springer International Publishing, Design, User Experience, and Usability: Novel User Experiences;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
One for all and all for one - towards a framework for collaboration support systems;Education and Information Technologies;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Adaptive Training: Designing Training for the Way People Work and Learn;Springer International Publishing, Adaptive Instructional Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Scientific workflows for process mining: building blocks, scenarios, and implementation;International Journal on Software Tools for Technology Transfer;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
metrics and methods of video quality assessment: a brief review;Multimedia Tools and Applications;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Computing Exposition Coherence Across Learning Resources;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a Cognitive Architecture for the Formal Analysis of Human Behaviour and Learning;Springer International Publishing, Software Technologies: Applications and Foundations;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Constructing Semantic Models of Programs with the Software Analysis Workbench;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a Personalized Learning Experience Using Reinforcement Learning;Springer International Publishing, Machine Learning Paradigms: Theory and Application;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{UX} Professionals' Definitions of Usability and {UX} {\textendash} A Comparison Between Turkey, Finland, Denmark, France and Malaysia;Springer International Publishing, Human-Computer Interaction {\textendash} {INTERACT} 2017;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Hiding {IP} Strategy: Trading Secrets;Springer International Publishing, Innovation, Startups and Intellectual Property Management;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Designing calm technology and peripheral interaction for offshore service vessels;Personal and Ubiquitous Computing;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Tools in {NeuroIS} Research: An Overview;Springer Berlin Heidelberg, Fundamentals of {NeuroIS};2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Impacts of Emerging Fundamental Science on Health, Behavior, and Their Interaction;Springer New York, Principles and Concepts of Behavioral Medicine;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Visual Debuggers and Deaf Programmers;Springer International Publishing, Universal Access in Human-Computer Interaction. Users and Context Diversity;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
E-Government and the Digital Divide: A Study of English-as-a-Second-Language Users' Information Behaviour;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Augmented Reality in Education: Current Status and Advancement of the Field;Springer International Publishing, Augmented Reality in Education;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Simulation-Based Evaluation of Learning Sequences for Instructional Technologies;Instructional Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Systems Design, Modeling, and Simulation in Medicine;Springer International Publishing, Simulation Foundations, Methods and Applications;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Knowledge Transfer in Software Maintenance Outsourcing: The Key Roles of Software Knowledge and Guided Learning Tasks;Springer International Publishing, Progress in {IS};2020;;;;;1;;;;;;;;;;;;cognitive load, knowledge;"cognitive load,
vendor's and client's experiences concerning knowledge-transfer, 
task performance";cognitive load and the way/effectiveness of knowledge-transfer were assessed by interviews, observation of five transition cases;central to paper;;1;;1;;;;Paper investigates SM outsourcing and its difficulties through five case-studies at a swiss bank. Paper finds that software knowledge transfer was the most challenging part that usually resulted in high cognitive load. Guided learning tasks are the most effective knowledge-transfer technique.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;1;;;;;;;;1;1;1;;;1;1;;;;J;;;;
Digital Literacies in Virtual Reality Learning Contexts;Springer International Publishing, Augmented Reality and Virtual Reality;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The {TimeStudio} Project: An open source scientific workflow system for the behavioral and brain sciences;Behavior Research Methods;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Developing Crisis Training Software for Local Governments{\textemdash}From User Needs to Generic Requirements;Springer International Publishing, Lecture Notes in Information Systems and Organisation;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Plug, Plan and Produce as Enabler for Easy Workcell Setup and Collaborative Robot Programming in Smart Factories;"{KI} - K{\""u}nstliche Intelligenz";2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Enriching Synchronous Collaboration in Online Courses with Configurable Conversational Agents;Springer International Publishing, Intelligent Tutoring Systems;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{EXP} Strategy;Apress, Build a Next-Generation Digital Workplace;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cooperative Agents for Discovering Pareto-Optimal Classifiers Under Dynamic Costs;Springer International Publishing, Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The {PAAMS} Collection;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Deep Learning for Detecting Breast Cancer Metastases on {WSI};Springer Singapore, Innovation in Medicine and Healthcare Systems, and Multimedia;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Empirical Investigation of the Intuitiveness of Process Landscape Designs;Springer International Publishing, Enterprise, Business-Process and Information Systems Modeling;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Do Erroneous Examples Improve Learning in Addition to Problem Solving and Worked Examples?;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A {VR}-{CAD} Data Model for Immersive Design;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Augmenting a Data Warehousing Curriculum with Emerging Big Data Technologies;Springer International Publishing, Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
User Evaluation of Industry 4.0 Concepts for Worker Engagement;Springer International Publishing, Human Systems Engineering and Design;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Dealing with Mislabeling via Interactive Machine Learning;"{KI} - K{\""u}nstliche Intelligenz";2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Eye-Tracking to Determine the Impact of Prior Knowledge on Self-Regulated Learning with an Adaptive Hypermedia-Learning Environment;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparative Analysis of Intelligent Personal Agent Performance;Springer International Publishing, Knowledge Management and Acquisition for Intelligent Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Research on Visual Feedback Based on Natural Gesture;Springer International Publishing, Human Centered Computing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A New Skill Set;Springer International Publishing, Tamed Agility;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Multi-faceted Approach to Computer Simplification via Personalization and Layering;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Intelligent Food Information Provision to Consumers in an Internet of Food Era;Springer International Publishing, Collaboration in a Data-Rich World;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Social interaction for efficient agent learning from human reward;Autonomous Agents and Multi-Agent Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Strategies and Metrics for Evaluating the Quality of Experience in Virtual Reality Applications;Springer International Publishing, Human Systems Engineering and Design;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Please delete that! Why should I?;"{KI} - K{\""u}nstliche Intelligenz";2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
State of the Art and Future Trends in the Usability of Patient Monitors;Springer International Publishing, Human Systems Engineering and Design;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Electroencephalogram to Track Learner's Reasoning in Serious Games;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{HCI} Vision for Automated Analysis and Mining of Web User Interfaces;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Statistically-Guided Controlled Language Authoring;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Gameful Design Heuristics: A Gamification Inspection Tool;Springer International Publishing, Human-Computer Interaction. Perspectives on Design;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Mixed Reality-Based User Interaction Feedback for a Hand-Controlled Interface Targeted to Robot Teleoperation;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Impact and Prevalence of Diagrammatic Supports in Mathematics Classrooms;Springer International Publishing, Diagrammatic Representation and Inference;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Sharing Composite Web Applications with Multiple Coupling Levels;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
On the Development of Context-Aware Augmented Reality Applications;Springer International Publishing, Beyond Interactions;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigation of the Human Factors, Usability and User Experience of Patient Monitors used in a Hospital Setting;Springer International Publishing, Human Systems Engineering and Design;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
To Be, or Not to Be Notified;Springer International Publishing, {ICT} Systems Security and Privacy Protection;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluation of Varying Visual Intensity and Position of a Recommendation in a Recommending Interface Towards Reducing Habituation and Improving Sales;Springer International Publishing, Advances in E-Business Engineering for Ubiquitous Computing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Psychological Perspectives on Intentional Forgetting: An Overview of Concepts and Literature;"{KI} - K{\""u}nstliche Intelligenz";2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards Verified Handwritten Calculational Proofs;Springer International Publishing, Interactive Theorem Proving;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Interesting, but not Necessarily Effective: Testing a Serious Game with Socially Disadvantaged Children;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Text Entry in Virtual Reality: A Comprehensive Review of the Literature;Springer International Publishing, Human-Computer Interaction. Recognition and Interaction Technologies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{NooJ} Grammars and Ethical Algorithms: Tackling On-Line Hate Speech;Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
U-Learning: A Collaborative Experience in the Urban Context;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{EXOTica}: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control;Springer International Publishing, Studies in Computational Intelligence;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Literature Review of the Research on Take-Over Situation in Autonomous Driving;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{GARUSO}: a gamification approach for involving stakeholders outside organizational reach in requirements engineering;Requirements Engineering;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Facial feedback for reinforcement learning: a case study and offline analysis using the {TAMER} framework;Autonomous Agents and Multi-Agent Systems;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Revisited Experimental Comparison of~Node-Link and Matrix Representations;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
bf-pd: Enabling Mediated Communication and Cooperation in Improvised Digital Orchestras;Springer International Publishing, Music Technology with Swing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards a Protocol for Inferring Preferences Using Majority-rule Sorting Models;Springer International Publishing, Algorithmic Decision Theory;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Designing a Crowd Forecasting Tool to Combine Prediction Markets and Real-Time Delphi;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
E-Learning Adaptation and Mobile Learning for Education;Springer International Publishing, Applied Computing and Information Technology;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Maker Movement Influence on Students' Learning Motivation and Learning Achievement {\textendash} A Learning Style Perspective;Springer International Publishing, Emerging Technologies for Education;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Effect of Rotation in the Navigation of Multi-level Buildings: A Pilot Study;Springer International Publishing, Advances in Artificial Intelligence: From Theory to Practice;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{CHAI}: Coding Heuristics for Assessing Intuitive Interaction;Springer International Publishing, Design, User Experience, and Usability: Theory and Practice;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Reliability Model;Springer Singapore, Reliability Aspect of Cloud Computing Environment;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using informative behavior to increase engagement while learning from human reward;Autonomous Agents and Multi-Agent Systems;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Interaction Design of Household Intelligent Breathing Training System;Springer International Publishing, Design, User Experience, and Usability: Technological Contexts;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Augmented Cognition for Socio-Technical Systems;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Language of Benefits as a Novel Tool for Improving Website Personalisation;Springer International Publishing, Information Systems: Research, Development, Applications, Education;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
U-index: An Eye-Tracking-Tested Checklist on Webpage Aesthetics for University Web Spaces in Russia and the {USA};Springer International Publishing, Design, User Experience, and Usability: Theory, Methodology, and Management;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Programmierunterricht von Kindergarten bis zur Matura in einem Spiralcurriculum;Informatik Spektrum;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Disrupting the Rote Learning Loop: {CS} Majors Iterating Over Learning Modules with an Adaptive Educational Hypermedia;Springer International Publishing, Intelligent Tutoring Systems;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Ontology-Based Semantic Modeling for Automated Identification of Damage Mechanisms in Process Plants;Springer International Publishing, {IFIP} Advances in Information and Communication Technology;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Review of Intervention Studies Aimed at Domestic Water Conservation;Springer International Publishing, Design, User Experience, and Usability: Novel User Experiences;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Attack-Defense Trees to Analyze Threats and Countermeasures in an {ATM}: A Case Study;Springer International Publishing, Lecture Notes in Business Information Processing;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Search Challenges in Natural Language Generation with Complex Optimization Objectives;"{KI} - K{\""u}nstliche Intelligenz";2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards Designing Mobile Banking User Interfaces for Novice Users;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Vouch-T: Multimodal Text Input for Mobile Devices Using Voice and Touch;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An evolving museum metaphor applied to cultural heritage for personalized content delivery;User Modeling and User-Adapted Interaction;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Read It This Way: Scaffolding Comprehension for Unconventional Statistical Graphs;Springer International Publishing, Diagrammatic Representation and Inference;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Generating Armstrong {ABoxes} for {\textdollar}{\textdollar}{\textbackslash}mathcal $\lbrace${ALC}$\rbrace${\textdollar}{\textdollar} {ALC} {TBoxes};Springer International Publishing, Theoretical Aspects of Computing {\textendash} {ICTAC} 2018;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Effort of Reasoning: Modelling the Inference Steps of Boundedly Rational Agents;Springer Berlin Heidelberg, Logic, Language, Information, and Computation;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Anticipating Ethical Issues When Designing Services that Employ Personal Data;Springer International Publishing, Design, User Experience, and Usability. Design Philosophy and Theory;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving the representation of roles in conceptual modeling: theory, method, and evidence;Requirements Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Nuance Reasoning Framework: A Rule-Based System for Semantic Query Rewriting;Springer International Publishing, Rules and Reasoning;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Usability of University Recruitment Web Pages from International Doctoral Students' Perspectives;Springer International Publishing, Design, User Experience, and Usability. Practice and Case Studies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An M-Learning Open-Source Tool Comparation for Easy Creation of Educational Apps;Springer International Publishing, Communications in Computer and Information Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Introduction;Springer International Publishing, Integrating Business Process Models and Rules;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Studying Analysts' Data Triage Operations in Cyber Defense Situational Analysis;Springer International Publishing, Theory and Models for Cyber Situation Awareness;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Multi-perspective and Multi-level Based Approach to Organize and Represent Inventive Knowledge;Springer International Publishing, {IFIP} Advances in Information and Communication Technology;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the Value Perception of Specific {TRIZ} Solutions Aimed to Reduce Product's Environmental Impact;Springer International Publishing, {IFIP} Advances in Information and Communication Technology;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Questioning the Value of Vodcasts in a Distance Learning Theoretical Computer Science Course;Springer International Publishing, Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Is a Holistic Criteria-Based Approach Possible in User Experience?;Springer International Publishing, Design, User Experience, and Usability: Theory, Methodology, and Management;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Intentional Forgetting in Distributed Artificial Intelligence;"{KI} - K{\""u}nstliche Intelligenz";2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Considering Social Distance as an Influence Factor in the Process of Process Modeling;Springer International Publishing, Enterprise, Business-Process and Information Systems Modeling;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Addressing the state explosion problem when visualizing off-nominal behaviors in a set of reactive requirements;Requirements Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Pilot Study Assessing Performance and Visual Attention of Teenagers with {ASD} in a Novel Adaptive Driving Simulator;Journal of Autism and Developmental Disorders;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Handling Topical Metadata Regarding the Validity and Completeness of Multiple-Source Information: A Possibilistic Approach;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Impact of Team Collaboration on Cybersecurity Situational Awareness;Springer International Publishing, Theory and Models for Cyber Situation Awareness;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Knowledge Graph-Based Teacher Support for Learning Material Authoring;Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Communication in Human-Agent Teams for Tasks with Joint Action;Springer International Publishing, Lecture Notes in Computer Science;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Instrumented Software Framework for the Rapid Development of Experimental User Interfaces;Springer International Publishing, Advances in Intelligent Systems and Computing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{\textquotedblleft}{KogniChef}{\textquotedblright}: A Cognitive Cooking Assistant;"{KI} - K{\""u}nstliche Intelligenz";2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Detecting the Doubt Effect and Subjective Beliefs Using Neural Networks and Observers' Pupillary Responses;Springer International Publishing, Neural Information Processing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Hybrid Architecture for Non-technical Skills Diagnosis;Springer International Publishing, Intelligent Tutoring Systems;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Efficacy of {OWL} and {DL} on User Understanding of Axioms and Their Entailments;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Programming: A Wicked Subject?;Springer International Publishing, Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Applying Working Memory Theory to Redesign a Mobile Application User Interface: Take a Handicraft Self-learning Page as an Example;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Feedback and Behavioral Feedforward Automation Perspectives for Modeling and Validation in a Learning Context;Springer International Publishing, Communications in Computer and Information Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Small Changes, Big Changes: An Updated View on the Android Permission System;Springer International Publishing, Research in Attacks, Intrusions, and Defenses;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Companion-Technology: An Overview;"{KI} - K{\""u}nstliche Intelligenz";2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Informing Authoring Best Practices Through an Analysis of Pedagogical Content and Student Behavior;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Automatic switching between speech and non-speech: adaptive auditory feedback in desktop assistance for the visually impaired;Universal Access in the Information Society;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Mobile Eye Tracking to Evaluate the Satisfaction with Service Office;Springer International Publishing, Design, User Experience, and Usability. Practice and Case Studies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Rational Enterprise Architecture;Springer International Publishing, Advances in Artificial Intelligence: From Theory to Practice;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Catch {\&} Release: An Approach to Debugging Distributed Full-Stack {JavaScript} Applications;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Labenah: An Arabic Block-Based Interactive Programming Environment for Children. The Journey of Learning and Playing;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
How Do the User Experiences of Everyday Content Differ from Those of Academic Content?;Springer International Publishing, Design, User Experience, and Usability: Novel User Experiences;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
I Feel I Feel You: A Theory of Mind Experiment in Games;"{KI} - K{\""u}nstliche Intelligenz";2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating Active Tangibles and~Augmented Reality for Creativity Support in Remote Collaboration;Springer International Publishing, Understanding Innovation;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Camera-Based Mobility Aid for Visually Impaired People;"{KI} - K{\""u}nstliche Intelligenz";2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Style and Business Process Model Understanding;Springer International Publishing, Lecture Notes in Business Information Processing;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Supporting the Human in Cyber Defence;Springer International Publishing, Computer Security;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Development of a Heuristic Evaluation Tool for Voice User Interfaces;Springer International Publishing, Design, User Experience, and Usability. Practice and Case Studies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using an Interaction Room for Digitalization Strategy Development ({IR}:digital);Springer International Publishing, Tamed Agility;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Learning Effects of Different Digital-Based Approaches in Chemistry: A Quasi-experimental Assessment;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Predicting Subjective Enjoyment of Aspects of a Videogame from Psychophysiological Measures of Arousal and Valence;Springer International Publishing, Intelligent Tutoring Systems;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Head and Shoulders Gestures: Exploring User-Defined Gestures with Upper Body;Springer International Publishing, Design, User Experience, and Usability. User Experience in Advanced Technological Environments;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Mastery-Oriented Shared Student/System Control Over Problem Selection in a Linear Equation Tutor;Springer International Publishing, Intelligent Tutoring Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the Relationship Between Connection, Agency and Autonomy for Controlling a Robot Arm for Remote Social Physical Interaction;Springer International Publishing, Design, User Experience, and Usability. User Experience in Advanced Technological Environments;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Guided Mindfulness: New Frontier to Augmented Learning;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Evaluation of the Intuitiveness of the {PGA} Modeling Language Notation;Springer International Publishing, Enterprise, Business-Process and Information Systems Modeling;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Creativity in the Twenty-first Century: The Added Benefit of Training and Cooperation;Springer International Publishing, Understanding Innovation;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Visual Modeling of Instance-Spanning Constraints in Process-Aware Information Systems;Springer International Publishing, Advanced Information Systems Engineering;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Exploring Methods and Guidelines for Child-Computer Interaction Research with Refugee Children;Springer International Publishing, Lecture Notes in Computer Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Item-Based Learning for Music Emotion Prediction Using {EEG} Data;Springer International Publishing, Principles and Practice of Multi-Agent Systems;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Extending the Concept of User Satisfaction in E-Learning Systems from {ISO}/{IEC} 25010;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Considerations on the Usability of {SCl}\'{\i}nico;Springer International Publishing, Biomedical Engineering Systems and Technologies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Open University of the Unified Health System in Brazil ({UNA}-{SUS}/{UFMA}): Identification and Hierarchization of Problems in Distance Learning Courses;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Future Patent Search;Springer Berlin Heidelberg, Current Challenges in Patent Information Retrieval;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Dynamic event type recognition and tagging for data-driven insights in law-enforcement;Computing;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Comparison of Circle and Dodecagon Clock Designs for Visualizing 24-Hour Cyclical Data;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards an Intelligent Learning Management System: The A/B/C-{TEACH} Approach;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Artificial Facilitator: Guiding Participants in Developing Causal Maps Using Voice-Activated Technologies;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Smartkuber Case Study: Lessons Learned from the Development of an Augmented Reality Serious Game for Cognitive Screening;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Operator 4.0: Human Cyber-Physical Systems {\&} Adaptive Automation Towards Human-Automation Symbiosis Work Systems;Springer International Publishing, {IFIP} Advances in Information and Communication Technology;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Conceptual Digital Assistance System Supporting Manual Changeovers in High-Variety Production;Springer International Publishing, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Is It in Your Eyes? Explorations in Using Gaze Cues for Remote Collaboration;Springer International Publishing, Collaboration Meets Interactive Spaces;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Predicting User Flight Preferences in an Airline E-Shop;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{EMOVLE}: An Interface Design Guide;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Anisotropic Radial Layout for Visualizing Centrality and Structure in Graphs;Springer International Publishing, Lecture Notes in Computer Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Reflexive Memory Authenticator: A~Proposal for Effortless Renewable Biometrics;Springer International Publishing, Lecture Notes in Computer Science;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding Voting Barriers to Access for Americans with Low Literacy Skills;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
When Eye-Tracking Meets Cognitive Modeling: Applications to Cyber Security Systems;Springer International Publishing, Human Aspects of Information Security, Privacy and Trust;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
User expectations in intelligent environments;Journal of Reliable Intelligent Environments;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Identifying Psychophysiological Pain Points in the Online User Journey: The Case of Online Grocery;Springer International Publishing, Design, User Experience, and Usability. Practice and Case Studies;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{GreatTeach}: A Tool for Teaching (Stochastic) Petri Nets;Springer International Publishing, Application and Theory of Petri Nets and Concurrency;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Interactive goal model analysis for early requirements engineering;Requirements Engineering;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Organizing Knowledge on Nonverbal Communication Mediated Through Haptic Technology;Springer International Publishing, Communications in Computer and Information Science;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Generating {SQL} Queries from Visual Specifications;Springer International Publishing, Communications in Computer and Information Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{WhatsUpNow}: urban social application with real-time peer-to-peer ambient and sensory data exchanges;Multimedia Tools and Applications;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Toward Augmented Familiarity of the Audience with Digital Musical Instruments;Springer International Publishing, Music Technology with Swing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Improving Cognitive and Emotional State Using 3D Virtual Reality Orientation Game;Springer International Publishing, Intelligent Tutoring Systems;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Managed Forgetting to Support Information Management and Knowledge Work;"{KI} - K{\""u}nstliche Intelligenz";2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Music at Your Fingertips: Designing Mobile Interaction Interfaces for Runners;Springer International Publishing, Design, User Experience, and Usability: Theory and Practice;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Enacting Virtual Reality: The Philosophy and Cognitive Science of Optimal Virtual Experience;Springer International Publishing, Augmented Cognition;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The role of collaborative tagging and ontologies in emerging semantic of web resources;Computing;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Vision-Based Remote Heart Rate Variability Monitoring Using Camera;Springer International Publishing, Internet of Things ({IoT}) Technologies for {HealthCare};2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Information Density and Linguistic Encoding ({IDeaL});"{KI} - K{\""u}nstliche Intelligenz";2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Toward Requirements-Driven Design of~Visual Modeling Languages;Springer International Publishing, Lecture Notes in Business Information Processing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Addressing Mobile Usability and Elderly Users: Validating Contextualized Heuristics;Springer International Publishing, Design, User Experience, and Usability: Theory, Methodology, and Management;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Embedding Employability into an Information Technology Curriculum Using {PebblePad}: A Practice Report;Springer Singapore, Blended Learning Designs in {STEM} Higher Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Literature Review;Springer International Publishing, Integrating Business Process Models and Rules;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Visualizing Conversational Structure: Effects of Conversation-Analytical Knowledge and Social Media Experience;Springer International Publishing, Diagrammatic Representation and Inference;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Detection and quantification of flow consistency in business process models;Software {\&} Systems Modeling;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Spherical image {QoE} approximations for vision augmentation scenarios;Multimedia Tools and Applications;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
How Usable Are Usability Tests? Examining the Suitability of Standard Usability Testing Methods for the Assessment of Apps for People Living with Dementia;Springer International Publishing, New Technologies to Improve Patient Rehabilitation;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Towards pervasive geospatial affect perception;{GeoInformatica};2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Health professionals' perceptions about their clinical performance and the influence of audit and feedback on their intentions to improve practice: a theory-based study in Dutch intensive care units;Implementation Science;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An Extended Framework for Characterizing Social Robots;Springer International Publishing, Springer Series on Bio- and Neurosystems;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Learning prosocial skills through multiadaptive games: a case study;Journal of Computers in Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Smartphone Bloatware: An Overlooked Privacy Problem;Springer International Publishing, Security, Privacy, and Anonymity in Computation, Communication, and Storage;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Engineering Model for Ethical Decision-Making and Regulation in Autonomous Systems;Springer International Publishing, Handbook of Unmanned Aerial Vehicles;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
"{\""U}ber die Beziehung von Nutzer$\ast$in, Software und Nutzungssituation";Springer Fachmedien Wiesbaden, Nutzerverhalten verstehen {\textendash} Softwarenutzen optimieren;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Future Trusted Autonomous Space Scenarios;Springer International Publishing, Foundations of Trusted Autonomy;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Vom Techniker zum Modellierer {\textendash} Konzeption und Entwicklung eines Smart Glasses Systems zur Laufzeitmodellierung von Dienstleistungsprozessen;Springer Fachmedien Wiesbaden, Smart Service Engineering;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
{GeoCoach}: A cross-device hypermedia system to assist visually impaired people to gain environmental accessibility;Informatik-Spektrum;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Abracadabra: Imagining Access to Creative Computing Tools for Everyone;Springer International Publishing, Understanding Innovation;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Non-player Characters to Scaffold Non-gamer Students in Serious Gaming;Springer International Publishing, Learning, Design, and Technology;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Multimedia Games User Experience Data Collection: An Approach for Non-experts Researchers;Springer International Publishing, Special Topics in Multimedia, {IoT} and Web Technologies;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Kernel-Based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things;Springer International Publishing, Lecture Notes in Computer Science;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Visual Landmarks are Exaggerated: A Theoretical and Empirical View on the Meaning of Landmarks in Human Wayfinding;"{KI} - K{\""u}nstliche Intelligenz";2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
",,Sie k{\""o}nnen ja nichts daf{\""u}r, aber {\ldots}{\textquotedblleft} {\textendash} Kommunikation zwischen Techniknutzern und technischem Support";Springer Fachmedien Wiesbaden, Die Unschuld der Maschinen;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Nutzergenerierte Dienstleistungssysteme zur digitalen Transformation von Organisationen;Springer Berlin Heidelberg, Digitale Dienstleistungsinnovationen;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Modeling competencies for supporting work-integrated learning in knowledge work;Journal of Knowledge Management;2008;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Performance analysis of QoS in IoT based cognitive radio Ad Hoc network;Concurrency and Computation: Practice and Experience;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A robust interclass and intraclass loss function for deep learning based tongue segmentation;Concurrency and Computation: Practice and Experience;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Conditional generative adversarial networks based on the principle of homologycontinuity for face aging;Concurrency and Computation: Practice and Experience;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Brain--computer interface for assessment of mental efforts in e-learning using the nonmarkovian queueing model;Computer Applications in Engineering Education;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
AGCNN: Adaptive Gabor Convolutional Neural Networks with Receptive Fields for Vein Biometric Recognition;Concurrency and Computation: Practice and Experience;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Robust and efficient memory management in Apache AsterixDB;Software: Practice and Experience;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Evaluating the impact of the augmented reality learning environment on electronics laboratory skills of engineering students;Computer Applications in Engineering Education;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A physiological data-driven model for learners' cognitive load detection using HRV-PRV feature fusion and optimized XGBoost classification;Software: Practice and Experience;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Increased facial asymmetry in autism spectrum conditions is associated with symptom presentation;Autism Research;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Compression-based steganography;Concurrency and Computation: Practice and Experience;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN;Software: Practice and Experience;2020;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Anatomy of Traditional and E-Learning Education: How the spatial ability of learners can impact learning outcomes;The FASEB Journal;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Large dataset summarization with automatic parameter optimization and parallel processing for local outlier detection;Concurrency and Computation: Practice and Experience;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Agile User-Centered Design;John Wiley \& Sons, Ltd, The Wiley Handbook of Human Computer Interaction;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Verbal responses, depressive symptoms, reminiscence functions and cognitive emotion regulation in older women receiving individual reminiscence therapy;Journal of Clinical Nursing;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Humanics information security;Concurrency and Computation: Practice and Experience;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Rule extraction from autoencoder-based connectionist computational models;Concurrency and Computation: Practice and Experience;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Brain big data processing with massively parallel computing technology: challenges and opportunities;Software: Practice and Experience;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Anatomy of E-Learning Tools: Are modern e-learning tools a suitable replacement for traditional learning methods?;The FASEB Journal;2016;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
"Nonphysiological factors in navigated TMS studies; Confounding covariates and valid intracortical estimates";Human Brain Mapping;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
An investigation on adoption of the engineering simulation lab exercise: A case study in Multimedia University, Malaysia;Computer Applications in Engineering Education;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A DDS-based middleware for quality-of-service and high-performance networked robotics;Concurrency and Computation: Practice and Experience;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A software support to initiate systems engineering students in service-oriented computing;Computer Applications in Engineering Education;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The impact of different preparation modes on enhancing the undergraduate process control engineering laboratory: A comparative study;Computer Applications in Engineering Education;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Extending the job design perspective on individual innovation: Exploring the effect of group reflexivity;Journal of Occupational and Organizational Psychology;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The pragmatic quality of Resources- Events-Agents diagrams: an experimental evaluation;Information Systems Journal;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Advancing systems engineering in support of the bid and proposal process;Systems Engineering;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Exercise of Project Control;John Wiley \& Sons, Ltd, The Cognitive Dynamics of Computer Science;2005;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A learning model based on a didactic cognitive approach: The case of single-degree-of-freedom systems;Computer Applications in Engineering Education;2004;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
SpecRefiner: Assistance for stepwise refinement of software development in the upstream process;Systems and Computers in Japan;2003;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Cognitive Engineering;American Cancer Society, Encyclopedia of Software Engineering;2002;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Memory optimization in function and set manipulation with BDDs;Software: Practice and Experience;1998;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Elastic windows: design, implementation, and evaluation of multi-window operations;Software: Practice and Experience;1998;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Assessing software maintenance tool utilization using task--technology fit and fitness-for-use models;Journal of Software Maintenance: Research and Practice;1998;;;;;1;;;;;;;;;;;;"Cognitive fit
Behavioural control";"Cognitive fit
Behavioural control";Questionnaire;The cognitive concepts are used in a prediction model for technology utilisation (of maintenance tools);;1;;1;;;;The paper investigates the use of software tools to support software maintenance from a task fitness perspective. It investigates cognitive fit and behavioural control as factors influencing intention to use and actual use. It finds that fit between maintenance tool functionality and maintenance task needs are associated with tool use, that use intention may not lead to actual use, and maintainers' control over their environment affects usage.;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;;;;;;;;1;;;1;;J;;;;
The Present Status of Computer Technology and Its Application Areas Among Psychophysiologists With Five Year Projections;Psychophysiology;1973;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Using Psycho-Physiological Measures to Assess Task Difficulty in Software Development;Proceedings of the 36th International Conference on Software Engineering;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Providing Ambient Information as Comfortable Sound for Reducing Cognitive Overload;Proceedings of the 12th International Conference on Advances in Computer Entertainment Technology;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Human-Centric Software Engineering;Proceedings of the FSE/SDP Workshop on Future of Software Engineering Research;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
The Impact of Design Media on Cognitive Load during Architectural Ideation Process;Proceedings of the 8th ACM Conference on Creativity and Cognition;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
End-User Software Engineering and Distributed Cognition;Proceedings of the 2009 ICSE Workshop on Software Engineering Foundations for End User Programming;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Scenario-Based Programming: Reducing the Cognitive Load, Fostering Abstract Thinking;Companion Proceedings of the 36th International Conference on Software Engineering;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Programming, Syntax and Cognitive Load (Part 2);ACM Inroads;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Writing Code for Other People: Cognitive Psychology and the Fundamentals of Good Software Design Principles;Proceedings of the 24th ACM SIGPLAN Conference on Object Oriented Programming Systems Languages and Applications;2009;;1;;;;;;;;;;;;;;chunking analogies;"cognitive load
memory(short term, long term)
reasoning
knowledge";;;central to paper;;;1;;;;;Paper is to demonstrate link between software design principles and cognitive model of the mind. No research or measurement has been made, however, it is said that SD tasks are chunking analogies and shall be detailed enough in order to be easily understood.;1;;;;;;;1;1;1;;;;;;;;;;;;;;1;;;1;;;;;;;;;;;;;;;;;;C;;;;
Synchronised Visualisation of Software Process and Product Artefacts: Concept, Design and Prototype Implementation;Proceedings of the 10th International Workshop on Software and Systems Traceability;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Spatial Perception Orientation Task (SPOT): Developing an Accessible Tool for Measuring Spatial Working Memory.;CHI {\rq}14 Extended Abstracts on Human Factors in Computing Systems;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Typing over Autocomplete: Cognitive Load in Website Use by Older Adults;Proceedings of the 24th Australian Computer-Human Interaction Conference;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Idea: Interactive Support for Secure Software Development;Proceedings of the Third International Conference on Engineering Secure Software and Systems;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Software Designers, Are You Biased?;Proceedings of the 6th International Workshop on SHAring and Reusing Architectural Knowledge;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Empirical Analyses of the Factors Affecting Confirmation Bias and the Effects of Confirmation Bias on Software Developer/Tester Performance;Proceedings of the 6th International Conference on Predictive Models in Software Engineering;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Boosting Spectrum-Based Fault Localization Using PageRank;Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Preliminary Analysis of the Effects of Confirmation Bias on Software Defect Density;Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Teaching Variability Engineering to Cognitive Psychologists;Proceedings of the 18th International Software Product Line Conference: Companion Volume for Workshops, Demonstrations and Tools - Volume 2;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Empirical Knowledge Engineering: Cognitive Aspects in the Development of Constraint-Based Recommenders;Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems - Volume Part I;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Developer Fluency: Achieving True Mastery in Software Projects;Proceedings of the Eighteenth ACM SIGSOFT International Symposium on Foundations of Software Engineering;2010;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Requirements Fixation;Proceedings of the 36th International Conference on Software Engineering;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Human Judgement and Software Metrics: Vision for the Future;Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
CodeBasket: Making Developers{\rq} Mental Model Visible and Explorable;Proceedings of the Second International Workshop on Context for Software Development;2015;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Taming the Biases: A Few Patterns on Successful Decision-Making;Proceedings of the 19th European Conference on Pattern Languages of Programs;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Automatically Recommending Triage Decisions for Pragmatic Reuse Tasks;Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Understanding Understanding Source Code with Functional Magnetic Resonance Imaging;Proceedings of the 36th International Conference on Software Engineering;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
U Can Touch This: Touchifying an IDE;Proceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Interactive and Automated Debugging for Big Data Analytics;Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Measuring Neural Efficiency of Program Comprehension;Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering;2017;;;1;;;;;;;;;;;;;;"program comprehension
cognitive load";"program comprehension
brain area activation";fMRI was used during tasks performed by participants;central to paper;1;;;1;;;;Paper uses fMRI to assess program comprehension in two ways: bottom-up comprehension and comprehension based on semantic cues. They found evidence that comprehension based on semantic cues leads to neural efficiency.;1;;;;;;;;;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1;1;;;C;;;;
Find and Seek: Assessing the Impact of Table Navigation on Information Look-up with a Screen Reader;ACM Trans. Access. Comput.;2019;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Reducing Complexity Using an Interaction Room: An Experience Report;Proceedings of the 31st ACM International Conference on Design of Communication;2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Automated Refactoring of Nested-IF Formulae in Spreadsheets;Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Envisioning Healthcare Work: Models for Prospective Evaluation of New Systems;Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Learning Theory and the Re-Education of Older Software Engineers;SIGITERes. IT;2009;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
It{\rq}s the Psychology Stupid: How Heuristics Explain Software Vulnerabilities and How Priming Can Illuminate Developer{\rq}s Blind Spots;Proceedings of the 30th Annual Computer Security Applications Conference;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Automated Versioning and Temporal Navigation for Model Sketches on Large Interactive Displays;Proceedings of the 29th Annual ACM Symposium on Applied Computing;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Investigating the Effects of Bimanual Multitouch Interaction on Creativity;Proceedings of the 8th ACM Conference on Creativity and Cognition;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
System Design through the Exploration of Contemporary Web Services;ACM Trans. Manage. Inf. Syst.;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Mapping Usability Heuristics and Design Principles for Touchscreen-Based Mobile Devices;Proceedings of the 7th Euro American Conference on Telematics and Information Systems;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Quality Assurance of the Content of a Large DL-Based Terminology Using Mixed Lexical and Semantic Criteria: Experience with SNOMED CT;Proceedings of the Sixth International Conference on Knowledge Capture;2011;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
FCatch: Automatically Detecting Time-of-Fault Bugs in Cloud Systems;Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Threat Analysis in Systems-of-Systems: An Emergence-Oriented Approach;ACM Trans. Cyber-Phys. Syst.;2018;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Generation of Information Systems from Process Models to Support Intentional Forgetting of Work Habits;Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems;2017;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
A Model to Incorporate Emotional Sensitivity into Human Computer Interactions;Proceedings of the 2014 Workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems;2014;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Zombie Memory: Extending Memory Lifetime by Reviving Dead Blocks;Proceedings of the 40th Annual International Symposium on Computer Architecture;2013;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
Adding Dynamically-Typed Language Support to a Statically-Typed Language Compiler: Performance Evaluation, Analysis, and Tradeoffs;Proceedings of the 8th ACM SIGPLAN/SIGOPS Conference on Virtual Execution Environments;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
3rd Workshop on Smart Surveillance System Applications;Proceedings of the 2012 Conference of the Center for Advanced Studies on Collaborative Research;2012;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
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