research-article

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Recommending good first issues in GitHub OSS projects

Authors:

Minghui ZhouAuthors Info & Claims

ICSE '22: Proceedings of the 44th International Conference on Software Engineering

Pages 1830 - 1842

https://doi.org/10.1145/3510003.3510196

Published: 05 July 2022 Publication History

Abstract

Attracting and retaining newcomers is vital for the sustainability of an open-source software project. However, it is difficult for newcomers to locate suitable development tasks, while existing "Good First Issues" (GFI) in GitHub are often insufficient and inappropriate. In this paper, we propose RecGFI, an effective practical approach for the recommendation of good first issues to newcomers, which can be used to relieve maintainers' burden and help newcomers onboard. RecGFI models an issue with features from multiple dimensions (content, background, and dynamics) and uses an XGBoost classifier to generate its probability of being a GFI. To evaluate RecGFI, we collect 53,510 resolved issues among 100 GitHub projects and carefully restore their historical states to build ground truth datasets. Our evaluation shows that RecGFI can achieve up to 0.853 AUC in the ground truth dataset and outperforms alternative models. Our interpretable analysis of the trained model further reveals interesting observations about GFI characteristics. Finally, we report latest issues (without GFI-signaling labels but recommended as GFI by our approach) to project maintainers among which 16 are confirmed as real GFIs and five have been resolved by a newcomer.

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Cited By

Santos IFelizardo KSteinmacher IGerosa M(2025)Software solutions for newcomers’ onboarding in software projects: A systematic literature reviewInformation and Software Technology10.1016/j.infsof.2024.107568177(107568)Online publication date: Jan-2025
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Gao KXu WYang WZhou M(2024)PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI PackagesProceedings of the ACM on Software Engineering10.1145/36608221:FSE(2608-2631)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660822
de Souza CMa EWong JYoon DBeschastnikh I(2024)Revealing Software Development Work Patterns with PR-Issue Graph TopologiesProceedings of the ACM on Software Engineering10.1145/36608131:FSE(2402-2423)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660813
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Index Terms

Recommending good first issues in GitHub OSS projects
1. Software and its engineering
  1. Software creation and management
    1. Collaboration in software development
    2. Software post-development issues
      1. Maintaining software

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cover image ACM Conferences

ICSE '22: Proceedings of the 44th International Conference on Software Engineering

May 2022

2508 pages

ISBN:9781450392211

DOI:10.1145/3510003

General Chair:
Matthew B Dwyer
University of Virginia
,
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Daniela Damian
University of Victoria, Canada
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Andreas Zeller
CISPA, Germany

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https://doi.org/10.1016/j.infsof.2024.107568
Gao KXu WYang WZhou M(2024)PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI PackagesProceedings of the ACM on Software Engineering10.1145/36608221:FSE(2608-2631)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660822
de Souza CMa EWong JYoon DBeschastnikh I(2024)Revealing Software Development Work Patterns with PR-Issue Graph TopologiesProceedings of the ACM on Software Engineering10.1145/36608131:FSE(2402-2423)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660813
Bai SLiu HDai ELiu L(2024)Improving Issue-PR Link Prediction via Knowledge-Aware Heterogeneous Graph LearningIEEE Transactions on Software Engineering10.1109/TSE.2024.340844850:7(1901-1920)Online publication date: 1-Jul-2024
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Jin YBai YZhu YSun YWang W(2023)Code Recommendation for Open Source Software DevelopersProceedings of the ACM Web Conference 202310.1145/3543507.3583503(1324-1333)Online publication date: 30-Apr-2023
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Tan XZhou MZhang L(2023)Understanding Mentors’ Engagement in OSS Communities via Google Summer of CodeIEEE Transactions on Software Engineering10.1109/TSE.2023.324241549:5(3106-3130)Online publication date: 1-May-2023
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