推荐应急团队

S. Minto, G. Murphy
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引用次数: 143

摘要

为了构建成功的复杂软件系统,开发人员必须相互协作来解决问题。为了促进这种协作,专门的工具,如聊天和屏幕共享,正在被集成到开发环境中。目前,这些工具要求开发人员维护一个他们可能希望与之交流的其他开发人员的列表,并确定该列表中谁具有特定情况的专业知识。对于大型的、动态的项目,比如几个成功的开源项目,这些需求给开发人员带来了不合理的负担。在本文中,我们展示了团队的结构是如何从开发人员如何更改软件工件中产生的。我们介绍紧急专家定位器(EEL),它使用紧急团队信息,在开发人员工作时向开发人员在其开发环境中推荐专家。我们发现,平均而言,EEL产生的结果比现有的启发式专业知识推荐具有更高的精度和更高的召回率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recommending Emergent Teams
To build successful complex software systems, developers must collaborate with each other to solve issues. To facilitate this collaboration, specialized tools, such as chat and screen sharing, are being integrated into development environments. Currently, these tools require a developer to maintain a list of other developers with whom they may wish to communicate and to determine who within this list has expertise for a specific situation. For large, dynamic projects, like several successful open-source projects, these requirements place an unreasonable burden on the developer. In this paper, we show how the structure of a team emerges from how developers change software artifacts. We introduce the emergent expertise locator (EEL) that uses emergent team information to propose experts to a developer within their development environment as the developer works. We found that EEL produces, on average, results with higher precision and higher recall than an existing heuristic for expertise recommendation.
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