Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines

Author:

Huang Yu1,Leach Kevin1,Sharafi Zohreh1,McKay Nicholas1,Santander Tyler2,Weimer Westley1

Affiliation:

1. University of Michigan, USA

2. University of California at Santa Barbara, USA

Publisher

ACM

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Eye tracking-based evaluation of accessible and usable interactive systems: tool set of guidelines and methodological issues;Universal Access in the Information Society;2024-01-11

2. Diversity in issue assignment: humans vs bots;Empirical Software Engineering;2024-01-09

3. CirFix: Automated Hardware Repair and its Real-World Applications;IEEE Transactions on Software Engineering;2023-07

4. Modern Code Reviews—Survey of Literature and Practice;ACM Transactions on Software Engineering and Methodology;2023-05-26

5. Toward Gaze-assisted Developer Tools;2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER);2023-05

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