"May the fork be with you": novel metrics to analyze collaboration on GitHub

Marco Biazzini, B. Baudry
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引用次数: 33

Abstract

Multi-repository software projects are becoming more and more popular, thanks to web-based facilities such as Github. Code and process metrics generally assume a single repository must be analyzed, in order to measure the characteristics of a codebase. Thus they are not apt to measure how much relevant information is hosted in multiple repositories contributing to the same codebase. Nor can they feature the characteristics of such a distributed development process. We present a set of novel metrics, based on an original classification of commits, conceived to capture some interesting aspects of a multi-repository development process. We also describe an efficient way to build a data structure that allows to compute these metrics on a set of Git repositories. Interesting outcomes, obtained by applying our metrics on a large sample of projects hosted on Github, show the usefulness of our contribution.
“愿分叉与你同在”:分析GitHub上协作的新指标
由于Github等基于web的工具,多存储库软件项目正变得越来越流行。代码和过程度量通常假设必须分析单个存储库,以便度量代码库的特征。因此,它们不倾向于度量在贡献相同代码库的多个存储库中托管了多少相关信息。它们也不具备这种分布式开发过程的特征。我们提出了一组基于原始提交分类的新指标,旨在捕捉多存储库开发过程中一些有趣的方面。我们还描述了一种构建数据结构的有效方法,该数据结构允许在一组Git存储库上计算这些指标。通过将我们的指标应用于托管在Github上的大量项目样本,获得了有趣的结果,显示了我们的贡献的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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