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What Makes Open Source Software Projects Impactful: A Data-Driven Approach

  • Huaiwei Yang
  • , Shuang Liu
  • , Lin Gui
  • , Yongxin Zhao
  • , Jun Sun
  • , Junjie Chen
  • Tianjin University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the wide adoption and acceptance of open source version control and hosting systems, more and more companies, including Google, Microsoft, Apple and Facebook, are putting their projects on such platforms, e.g., GitHub. It is very important for open source projects to be impactful, i.e., to attract attentions from the open source development community, so as to gain support on development, testing as well as maintenance from the community. However, the question of what factors affect open source project impact, remains largely open. Given the numerous confounding factors and the complex correlations among the factors, it is a challenge to answer the question. In this study, we gather a large dataset from GitHub and provide empirical insights on this question base on a data-driven approach. We randomly collect 146,286 projects from GitHub and then adopt data analysis techniques to automatically analyze the correlations of different features with the software project impact. We also provide suggestions on how to potentially make open source projects impactful base on our analysis results.

源语言英语
主期刊名12th Asia-Pacific Symposium on Internetware, Internetware''2020
出版商Association for Computing Machinery
126-135
页数10
ISBN(电子版)9781450388191
DOI
出版状态已出版 - 1 11月 2020
已对外发布
活动12th Asia-Pacific Symposium on Internetware, Internetware''2020 - Virtual, Online, 新加坡
期限: 12 5月 202114 5月 2021

丛书

姓名ACM International Conference Proceeding Series

会议

会议12th Asia-Pacific Symposium on Internetware, Internetware''2020
国家/地区新加坡
Virtual, Online
时期12/05/2114/05/21

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