Understanding Developers' Reading Patterns Using Eye-tracking and Process Mining: An Exploratory Study

This link contains relevant data to the research done for the paper "Understanding Developers’ Reading Patterns Using Eye-tracking and Process Mining: An Exploratory Study". The data contained are listed as follows:

• Data 
  • Raw Data Logs: Contains two files, namely files.csv and methods.csv. These files contain all the data grouped before any filtering is applied.
  • Abstraction Data Logs Contains two files, namely Artifact.csv and File.csv. These files contain all the data grouped after the filtering was applied.
• Process Maps
  • PM_combinedAll_Tasks(1-3)
    • Domain Understanding:  In each folder there are 4 files which correspond to the combination of resources used to provide an answer (i.e, Feature, FeatureStepSource, FeatureStep Source)
      • Artifact Abstraction
      • File Abstraction
    • Code Understanding:   In each folder there are 4 files which correspond to the combination of resources used to provide an answer (i.e, Feature, FeatureStepSource, StepSource, Source)
      • Artifact Abstraction
      • File Abstraction         
• PM_forEach_Task(1,2,3): Contains three folders (one for each task)
  • Task 1 
    • Domain Understanding 
      • Artifact Abstraction
      • File Abstraction
    • Code Understanding 
      • Artifact Abstraction
      • File Abstraction
  • Task 2
    • Domain Understanding 
      • Artifact Abstraction
      • File Abstraction
    • Code Understanding 
      • Artifact Abstraction
      • File Abstraction
  • Task 3
    • Domain Understanding 
      • Artifact Abstraction
      • File Abstraction
    • Code Understanding 
      • Artifact Abstraction
      • File Abstraction
• Questionnaire: 
  • Pre-questionnaire
  • Post-questionnaire