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P2 What motivates software practitioners to contribute to inner source?

什么促使软件从业者贡献于内源?
FSE Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering2022匹配度 1/10 · 该论文研究内源项目中软件开发者的参与动机,属于软件工程中的人因/组织实证研究,与静态分析、LLM/Agent、浮点程序分析、贝叶斯程序分析等核心方向没有交集。引用 2 inbox
Zhiyuan Wan, Xin Xia, Yun Zhang, David Lo, Daibing Zhou, Qiuyuan Chen, Ahmed E. Hassan
crossref: 2026-09-12

AI 速览

一句话:通过混合方法实证揭示软件从业者参与内源项目的动机及其与开源动机的差异。

随着软件组织广泛采用开源开发实践形成内源(inner source),从业者为何愿意向内源项目贡献仍不清楚。论文采用混合方法:先访谈20名从业者进行定性分析,再对来自4大洲13个国家的124名受访者开展探索性问卷调查。研究识别出软件从业者参与内源项目的动机,并比较其与参与开源项目动机的差异;进一步分析这些动机如何影响在内源项目中的贡献程度和持续贡献意愿。基于发现,作者为未来研究指出方向,并为组织和从业者提供建议。

问题
软件组织广泛采用内源实践,但缺乏对从业者贡献内源项目动机及其与开源贡献动机差异的理解。
方法
采用混合方法,先对20名从业者进行访谈,再对来自13个国家的124名受访者开展探索性问卷调查。
评估
通过定性访谈与问卷数据识别动机类别、比较内源与开源动机差异,并分析动机对贡献水平和持续贡献意愿的影响。
原文摘要(Abstract)

Software development organizations have adopted open source development practices to support or augment their software development processes, a phenomenon referred to as inner source. Given the rapid adoption of inner source, we wonder what motivates software practitioners to contribute to inner source projects. We followed a mixed-methods approach--a qualitative phase of interviews with 20 interviewees, followed by a quantitative phase of an exploratory survey with 124 respondents from 13 countries across four continents. Our study uncovers practitioners' motivation to contribute to inner source projects, as well as how the motivation differs from what motivates practitioners to participate in open source projects. We also investigate how software practitioners' motivation impacts their contribution level and continuance intention in inner source projects. Based on our findings, we outline directions for future research and provide recommendations for organizations and software practitioners.

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BibTeX
@inproceedings{paperbot7007,
  title = {What motivates software practitioners to contribute to inner source?},
  author = {Zhiyuan Wan and Xin Xia and Yun Zhang and David Lo and Daibing Zhou and Qiuyuan Chen and Ahmed E. Hassan},
  booktitle = {FSE},
  year = {2022},
  doi = {10.1145/3540250.3549148}
}