Influence, Information and Team Outcomes in Large Scale Software Development

Subhajit Datta
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Abstract

It is widely perceived that the egalitarian ecosystems of large scale open source software development foster effective team outcomes. In this study, we question this conventional wisdom by examining whether and how the centralization of information and influence in a software development team relate to the quality of the team's work products. Analyzing data from more than a hundred real world projects that include development activities over close to a decade, involving 2000+ developers, who collectively resolve more than two hundred thousand defects through discussions covering more than six hundred thousand comments, we arrive at statistically significant evidence indicating that concentration of information and influence in the developer communication networks of the projects are associated with the quality of a team's work products, even after controlling for various factors related to levels of developer engagement. Our results suggest that merely facilitating easy interaction between team members may not be sufficient to enhance team outcomes. The design of efficient collaborative development environments, and devising tools and processes for team assembly and governance can be informed by our results.
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大型软件开发中的影响、信息和团队成果
人们普遍认为,大规模开源软件开发的平等生态系统可以培养有效的团队成果。在本研究中,我们通过检查软件开发团队中信息和影响的集中化是否以及如何与团队工作产品的质量相关来质疑这种传统智慧。分析来自超过100个真实世界项目的数据,这些项目包括近十年来的开发活动,涉及2000多个开发人员,他们通过讨论解决了超过20万个缺陷,这些讨论涵盖了超过60万条评论,我们得到了统计上有意义的证据,表明在项目的开发人员沟通网络中的信息集中和影响与团队工作产品的质量相关,即使在控制了与开发人员参与水平相关的各种因素之后也是如此。我们的研究结果表明,仅仅促进团队成员之间的轻松互动可能不足以提高团队成果。有效的协作开发环境的设计,以及为团队组装和治理设计工具和过程可以通过我们的结果得到通知。
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