2024-03-29T02:15:51Zhttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_oaipmhoai:ipsj.ixsq.nii.ac.jp:001028802023-11-14T00:51:14Z06164:06165:06522:07655
Categorizing Code Review Result with Social Networks Analysis: A Case Study on Three OSS ProjectsCategorizing Code Review Result with Social Networks Analysis: A Case Study on Three OSS Projectsengポスター論文http://id.nii.ac.jp/1001/00102857/Conference Paperhttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_action_common_download&item_id=102880&item_no=1&attribute_id=1&file_no=1Copyright (c) 2014 by the Information Processing Society of JapanNara Institute of Science and TechnologyNagoya UniversityNara Institute of Science and TechnologyNara Institute of Science and TechnologyNara Institute of Science and TechnologyXin, YangNorihiro, YoshidaKenji, FujiwaraYong, JinHajimu, IidaDue to the distributed collaborations and communication nature of Open Source Software (OSS), OSS peer review differs from traditional industry software peer review. In this study, we investigate the relationship between network position of OSS peer review contributors and the outcome of their review results by using social network analysis (SNA). The results provides hints on how network position of contributors affect peer review quality, which can help to understand how OSS developers work and communicate together.Due to the distributed collaborations and communication nature of Open Source Software (OSS), OSS peer review differs from traditional industry software peer review. In this study, we investigate the relationship between network position of OSS peer review contributors and the outcome of their review results by using social network analysis (SNA). The results provides hints on how network position of contributors affect peer review quality, which can help to understand how OSS developers work and communicate together.ソフトウェアエンジニアリングシンポジウム2014論文集20142002012014-08-252014-08-22