| Biases and Differences in Code Review Using Medical Imaging and Eye-Tracking: Genders, Humans, and Machines | |
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| Abstract |
Code review is a critical step in modern software quality assurance, yet it is vulnerable to human biases. Previous studies have clarified the extent of the problem, particularly regarding biases against the authors of code,but no consensus understanding has emerged. Advances in medical imaging are increasingly applied to software engineering, supporting grounded neurobiological explorations of computing activities, including the review, reading, and writing of source code.
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| Year of Publication |
2020
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| Conference Name |
28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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| Date Published |
11/2020
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| Publisher |
Association for Computing Machinery
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| Conference Location |
New York, NY, USA
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| ISBN Number |
9781450370431
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| URL |
https://doi.org/10.1145/3368089.3409681
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| DOI |
10.1145/3368089.3409681
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