GFI-bot: automated good first issue recommendation on GitHub

Hao He, Haonan Su, Wenxin Xiao, Runzhi He, Minghui Zhou
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引用次数: 3

Abstract

To facilitate newcomer onboarding, GitHub recommends the use of "good first issue" (GFI) labels to signal issues suitable for newcomers to resolve. However, previous research shows that manually labeled GFIs are scarce and inappropriate, showing a need for automated recommendations. In this paper, we present GFI-Bot (accessible at https://gfibot.io), a proof-of-concept machine learning powered bot for automated GFI recommendation in practice. Project maintainers can configure GFI-Bot to discover and label possible GFIs so that newcomers can easily locate issues for making their first contributions. GFI-Bot also provides a high-quality, up-to-date dataset for advancing GFI recommendation research.
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GFI-bot:在GitHub上自动推荐好的第一个问题
为了方便新人入职,GitHub建议使用“良好的第一个问题”(GFI)标签来标记适合新人解决的问题。然而,先前的研究表明,人工标记的gfi是稀缺的和不合适的,表明需要自动推荐。在本文中,我们提出了GFI- bot(可访问https://gfibot.io),这是一个概念验证的机器学习驱动的机器人,用于在实践中自动推荐GFI。项目维护者可以配置GFI-Bot来发现和标记可能的gfi,这样新手就可以很容易地找到问题,以便首次做出贡献。GFI- bot还为推进GFI推荐研究提供了高质量、最新的数据集。
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