Qualitatively Analyzing PR Rejection Reasons from Conversations in Open-Source Projects

被引：1

作者：

Gottigundala, Tanay ^{[1
]}

Sereesathien, Siriwan ^{[1
]}

da Silva, Bruno ^{[1
]}

机构：

[1] Calif Polytech State Univ San Luis Obispo, Dept Comp Sci & Software Engn, San Luis Obispo, CA 93407 USA

来源：

2021 IEEE/ACM 13TH INTERNATIONAL WORKSHOP ON COOPERATIVE AND HUMAN ASPECTS OF SOFTWARE ENGINEERING (CHASE 2021) | 2021年

关键词：

pull request; code review; open-source software; developer communication; social software engineering;

D O I：

10.1109/CHASE52884.2021.00021

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Software developers have largely relied on pull requests as a mechanism of collaboration in their projects. Researchers have collected and analyzed pull request data in different ways for different reasons. In particular, we have qualitatively analyzed pull request conversation data to understand the main reasons for pull request rejection from a developer's perspective. In this paper, we report results from ongoing research on identifying and categorizing pull request rejection factors. Two software developers, co-authors of this paper, manually analyzed 605 rejected PRs from Hexo and ESLint. We found that the most frequent reasons for PR rejection may vary depending on the project size and popularity. Still, some common rejection factors include implementing unnecessary functionality, conflicting PRs, agreement to make PR reattempts, and inactivity. Code quality issues are not among the most frequent reasons.

引用

页码：109 / 112

页数：4

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