Monitoring Technical Debt in an Industrial Setting
Authors/Creators
- 1. Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece
- 2. Department of Informatics and Telecommunications, University of Western Macedonia, Kozani, Greece
- 3. Computer Science Department, Aristotle University of Thessaloniki, Greece
Description
The dataset includes the answers on a survey with 60 software engineers (i.e., architects, developers, etc.) working for 11 software development companies located in 9 countries, to understand their needs for Technical Debt Management.
The questionnaire is organized into an introductory section and three main ones. It begins with some demographic information (Name of Company and Role in the Company). Next, participants are asked to rate in a Likert scale (1) a group of questions based on the usefulness of Technical Debt (TD) principal indicators, and (2) a group of questions based on the usefulness of TD interest indicators, and then, they are asked (3) to consider the optimal strategy for mitigating TD. In the beginning of each Section some basic TD definitions have been provided, so as to establish a common understanding and terminology among participants.
Files
dataset.csv
Files
(13.4 kB)
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Additional details
Related works
- Is supplement to
- 10.1145/3319008.3319019 (DOI)