Different Debt: An Addition to the Technical Debt Dataset and a Demonstration Using Developer Personality
arXiv:2403.01157 · doi:10.1145/3644384.3644475
Abstract
Background: The "Technical Debt Dataset" (TDD) is a comprehensive dataset on technical debt (TD) in the main branches of more than 30 Java projects. However, some TD items produced by SonarQube are not included for many commits, for instance because the commits failed to compile. This has limited previous studies using the dataset. Aims and Method: In this paper, we provide an addition to the dataset that includes an analysis of 278,320 commits of all branches in a superset of 37 projects using Teamscale. We then demonstrate the utility of the dataset by exploring the relationship between developer personality by replicating a prior study. Results: The new dataset allows us to use a larger sample than prior work could, and we analyze the personality of 111 developers and 5,497 of their commits. The relationships we find between developer personality and the introduction and removal of TD differ from those found in prior work. Conclusions: We offer a dataset that may enable future studies into the topic of TD and we provide additional insights on how developer personality relates to TD.
References in corpus (7)
- The Technical Debt Dataset
- Prevalence, Common Causes and Effects of Technical Debt: Results from a Family of Surveys with the IT Industry
- A large-scale, in-depth analysis of developers' personalities in the Apache ecosystem
- Towards Surgically-Precise Technical Debt Estimation: Early Results and Research Roadmap
- Too Trivial To Test? An Inverse View on Defect Prediction to Identify Methods with Low Fault Risk
- The Risk-Taking Software Engineer: A Framed Portrait
- The Type to Take Out a Loan? A Study of Developer Personality and Technical Debt