WhoDo: automating reviewer suggestions at scale

Author:

Asthana Sumit1,Kumar Rahul1,Bhagwan Ranjita1,Bird Christian2,Bansal Chetan1,Maddila Chandra1,Mehta Sonu1,Ashok B.1

Affiliation:

1. Microsoft Research, India

2. Microsoft Research, USA

Publisher

ACM

Cited by 37 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. Distilling Quality Enhancing Comments From Code Reviews to Underpin Reviewer Recommendation;IEEE Transactions on Software Engineering;2024-07

2. Source code expert identification: Models and application;Information and Software Technology;2024-06

3. Factoring Expertise, Workload, and Turnover Into Code Review Recommendation;IEEE Transactions on Software Engineering;2024-04

4. Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

5. Code Review Automation: Strengths and Weaknesses of the State of the Art;IEEE Transactions on Software Engineering;2024-02

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