Towards debiasing code review support
July 01, 2024 ยท Declared Dead ยท ๐ IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies
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Authors
Tobias Jetzen, Xavier Devroey, Nicolas Matton, Benoรฎt Vanderose
arXiv ID
2407.01407
Category
cs.SE: Software Engineering
Citations
0
Venue
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies
Last Checked
5 months ago
Abstract
Cognitive biases appear during code review. They significantly impact the creation of feedback and how it is interpreted by developers. These biases can lead to illogical reasoning and decision-making, violating one of the main hypotheses supporting code review: developers' accurate and objective code evaluation. This paper explores harmful cases caused by cognitive biases during code review and potential solutions to avoid such cases or mitigate their effects. In particular, we design several prototypes covering confirmation bias and decision fatigue. We rely on a developer-centered design approach by conducting usability tests and validating the prototype with a user experience questionnaire (UEQ) and participants' feedback. We show that some techniques could be implemented in existing code review tools as they are well accepted by reviewers and help prevent behavior detrimental to code review. This work provides a solid first approach to treating cognitive bias in code review.
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