Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues
Xin Tan, Yiran Chen, Haohua Wu, Minghui Zhou, Li Zhang

TL;DR
This study investigates the role of mentoring in open source projects, analyzing 48,402 issues to understand how expert involvement influences newcomer success and retention.
Contribution
It provides a comprehensive analysis of mentorship structures, topics, and effects in OSS, highlighting the importance and complexity of mentoring beyond simple task recommendation.
Findings
70% of GFIs have expert participation
Expert comments typically occur within 8.5 hours of newcomer comments
Expert involvement increases contribution success but may reduce retention
Abstract
Newcomers are critical for the success and continuity of open source software (OSS) projects. To attract newcomers and facilitate their onboarding, many OSS projects recommend tasks for newcomers, such as good first issues (GFIs). Previous studies have preliminarily investigated the effects of GFIs and techniques to identify suitable GFIs. However, it is still unclear whether just recommending tasks is enough and how significant mentoring is for newcomers. To better understand mentoring in OSS communities, we analyze the resolution process of 48,402 GFIs from 964 repositories through a mix-method approach. We investigate the extent, the mentorship structures, the discussed topics, and the relevance of expert involvement. We find that 70\% of GFIs have expert participation, with each GFI usually having one expert who makes two comments. Half of GFIs will receive their first expert…
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Taxonomy
TopicsWikis in Education and Collaboration · Knowledge Management and Sharing · Open Source Software Innovations
