三万亿行:在教室里挖掘GitHub的基础设施

Toni Mattis, Patrick Rein, R. Hirschfeld
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引用次数: 2

摘要

人们对像GitHub这样的平台上的协作软件开发越来越感兴趣,这导致了大量关于开发活动的数据的可用性。GHTorrent项目记录了GitHub公共事件流的很大一部分,并托管了目前最大的关于开源开发的元数据公共数据集。我们描述了我们的基础设施,使研究人员和学生可以在本地获得这些数据,在这个基础设施上进行的研究活动的例子,以及我们从构建系统中学到的东西。我们确定了对特定领域工具的需求,特别是数据库,可以处理大规模代码库和相关元数据,并概述了开放的挑战,以便更有效地将它们用于研究和机器学习设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three trillion lines: infrastructure for mining GitHub in the classroom
The increasing interest in collaborative software development on platforms like GitHub has led to the availability of large amounts of data about development activities. The GHTorrent project has recorded a significant proportion of GitHub’s public event stream and hosts the currently largest public dataset of meta-data about open-source development. We describe our infrastructure that makes this data locally available to researchers and students, examples for research activities carried out on this infrastructure, and what we learned from building the system. We identify a need for domain-specific tools, especially databases, that can deal with large-scale code repositories and associated meta-data and outline open challenges to use them more effectively for research and machine learning settings.
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