从操作数据中挖掘微观实践

Minghui Zhou, A. Mockus
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引用次数: 4

摘要

微实践是个人或项目用来完成基本软件开发任务的实际的(通常没有文档记录或没有正确文档记录的)活动模式,例如编写代码、测试、鉴别错误或指导新人。软件存储库中的操作数据提供了发现这种精细行为并使用它们来理解和改进软件开发的诱人可能性。我们提出了一种大规模的基于证据的方法来实现这一目标,首先在开源世界中创建一个项目的镜像。下一步,一方面是对具体项目的深入研究进行归纳归纳,另一方面是对整个宇宙的微观实践进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mining micro-practices from operational data
Micro-practices are actual (and usually undocumented or incorrectly documented) activity patterns used by individuals or projects to accomplish basic software development tasks, such as writing code, testing, triaging bugs, or mentoring newcomers. The operational data in software repositories presents the tantalizing possibility to discover such fine-scale behaviors and use them to understand and improve software development. We propose a large-scale evidence-based approach to accomplish this by first creating a mirror of the projects in the open source universe. The next step would involve the inductive generalization from in-depth studies of specific projects from one side and the categorization of micro-practices in the entire universe from the other side.
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