论文标题
Gitrank：一个对GitHub存储库进行排名的框架
GitRank: A Framework to Rank GitHub Repositories
论文作者
论文摘要
开源存储库提供大量信息，并越来越多地用于构建基于人工智能（AI）的系统来解决软件工程中的问题。开源存储库可能具有不同的质量水平，不良质量的存储库可能会降低这些系统的性能。因此，评估开源存储库的质量（在诸如GITHUB之类的代码托管站点上无法使用）很重要。在此黑客马拉松中，我们利用已知的代码质量度量和Grimoirelab工具包来实施名为Gitrank的框架，以在三个不同的标准上对开源存储库进行排名。我们在此黑客马拉松报告中讨论了我们的发现和初步评估。
Open-source repositories provide wealth of information and are increasingly being used to build artificial intelligence (AI) based systems to solve problems in software engineering. Open-source repositories could be of varying quality levels, and bad-quality repositories could degrade performance of these systems. Evaluating quality of open-source repositories, which is not available directly on code hosting sites such as GitHub, is thus important. In this hackathon, we utilize known code quality measures and GrimoireLab toolkit to implement a framework, named GitRank, to rank open-source repositories on three different criteria. We discuss our findings and preliminary evaluation in this hackathon report.
