精益GHTorrent:按需提供GitHub数据

Georgios Gousios, Bogdan Vasilescu, Alexander Serebrenik, A. Zaidman
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引用次数: 143

摘要

近年来,GitHub已经成为世界上最大的代码托管平台,有超过500万开发人员在1000万个存储库中进行协作。许多流行的开源项目(如Ruby on Rails、Homebrew、Bootstrap、Django或jQuery)都选择GitHub作为它们的宿主,并将它们的代码库迁移到它上面。GitHub提供了巨大的研究潜力。例如,它是当前开源开发的旗舰,是开发人员向同行或潜在招聘人员展示专业知识的地方,也是社交编码功能或pull请求出现的平台。然而,到目前为止,GitHub数据在很大程度上尚未得到充分开发。为了方便对GitHub的研究,我们创建了GHTorrent,这是一个可扩展的、可查询的、通过GitHub REST API提供的数据的离线镜像。在本文中,我们提出了GHTorrent的一个新特性,旨在提供可定制的数据转储。新的GHTorrent数据按需服务为用户提供了通过web表单请求任何GitHub存储库的最新GHTorrent数据转储的可能性。我们希望通过提供可定制的GHTorrent数据转储,我们不仅可以进一步降低对挖掘GitHub数据感兴趣的研究人员的“进入门槛”(从而鼓励研究人员加强挖掘工作),还可以增强GitHub研究的可复制性(因为获得结果的数据快照现在可以轻松地伴随每项研究)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lean GHTorrent: GitHub data on demand
In recent years, GitHub has become the largest code host in the world, with more than 5M developers collaborating across 10M repositories. Numerous popular open source projects (such as Ruby on Rails, Homebrew, Bootstrap, Django or jQuery) have chosen GitHub as their host and have migrated their code base to it. GitHub offers a tremendous research potential. For instance, it is a flagship for current open source development, a place for developers to showcase their expertise to peers or potential recruiters, and the platform where social coding features or pull requests emerged. However, GitHub data is, to date, largely underexplored. To facilitate studies of GitHub, we have created GHTorrent, a scalable, queriable, offline mirror of the data offered through the GitHub REST API. In this paper we present a novel feature of GHTorrent designed to offer customisable data dumps on demand. The new GHTorrent data-on-demand service offers users the possibility to request via a web form up-to-date GHTorrent data dumps for any collection of GitHub repositories. We hope that by offering customisable GHTorrent data dumps we will not only lower the "barrier for entry" even further for researchers interested in mining GitHub data (thus encourage researchers to intensify their mining efforts), but also enhance the replicability of GitHub studies (since a snapshot of the data on which the results were obtained can now easily accompany each study).
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