Degree doesn't Matter: Identifying the Drivers of Interaction in Software Development Ecosystems

I. Bardhan, Subhajit Datta, S. Majumder
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Abstract

Large scale software development ecosystems represent one of the most complex human enterprises. In such settings, developers are embedded in a web of shared concerns, responsibilities, and objectives at individual and collective levels. A deep understanding of the factors that influence developers to connect with one another is crucial in appreciating the challenges of such ecosystems as well as formulating strategies to overcome those challenges. We use real world data from multiple software development ecosystems to construct developer interaction networks and examine the mechanisms of such network formation using statistical models to identify developer attributes that have maximal influence on whether and how developers connect with one another. Our results challenge the conventional wisdom on the importance of particular developer attributes in their interaction practices, and offer useful insights for individual developers, project managers, and organizational decision-makers.
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程度无关紧要:识别软件开发生态系统中交互的驱动因素
大型软件开发生态系统代表了最复杂的人类企业之一。在这样的环境中,开发人员被嵌入到个人和集体级别的共享关注点、责任和目标的网络中。深刻理解影响开发者相互联系的因素对于认识这种生态系统的挑战以及制定克服这些挑战的策略至关重要。我们使用来自多个软件开发生态系统的真实世界数据来构建开发人员交互网络,并使用统计模型来检查这种网络形成的机制,以确定对开发人员是否以及如何相互联系具有最大影响的开发人员属性。我们的结果挑战了在交互实践中特定开发人员属性重要性的传统智慧,并为个人开发人员、项目经理和组织决策者提供了有用的见解。
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