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TIEreimple

code reviewers recommendation

收集数据

从[1]

方法

  1. 文本贝叶斯分类器,每一类是一个code reviewer D。利用term的词频 + 链式法则计算被review被Di分配的概率。(公式1,2)
  2. path相似度,一个review的路径和M天之内的historical reviews的相似度,利用两个路径中的公共子路径比率+求和表示。(公式3)
  3. 正则化 1. 和 2. 的相似度,加权计算。(公式5)

reference

Who Should Review This Change?

other works

[1] Who should review my code (Patanamon Thongtanunam Saner2015)

它有约145个引用次数

Modern code review: a case study at google ICSE-SEIP2020

Vladimir Kovalenko; Nava Tintarev; Evgeny Pasynkov; Christian Bird---Does Reviewer Recommendation Help Developers TSE 2020

Soumaya Rebai, Abderrahmen Amich, Somayeh Molaei, Marouane Kessentini---Multi-objective code reviewer recommendations: balancing expertise, availability and collaborations 2020 ASE

Yuan Huang; Nan Jia; Xiangping Chen; Kai Hong; Zibin Zheng --- Code Review Knowledge Perception: Fusing Multi-Features for Salient-Class Location TSE 2020

RSTrace+: Reviewer suggestion using software artifact traceability graphs Information and Software Technology 2020

Patanamon Thongtanunam, Shane McIntosh, Ahmed E. Hassan, --- Revisiting code ownership and its relationship with software quality in the scope of modern code review ICSE 2016

M. M. Rahman, C. K. Roy, J. Redl, and J. A. Collins ---- Correct: Code reviewer recommendation at github for vendasta technologies ASE 2016

Motahareh Bahrami Zanjani; Huzefa Kagdi; Christian Bird --- Automatically Recommending Peer Reviewers in Modern Code Review. TSE 2016

Y. Yu, H. Wang, G. Yin, and T. Wang ---- Reviewer recommendation for pull-requests in github: What can we learn from code review and bug assignment? Information and Software Technology 2016

V. Balachandran----Reducing human effort and improving quality in peer code reviews using automatic static analysis and reviewer recommendation. ICSE 2013

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