An Empirical Analysis of Community and Coding Patterns in OSS4SG vs. Conventional OSS
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866912895653117952 |
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| author | Ouf, Mohamed Noei, Shayan Van Iterson, Zeph Guizani, Mariam Zou, Ying |
| author_facet | Ouf, Mohamed Noei, Shayan Van Iterson, Zeph Guizani, Mariam Zou, Ying |
| contents | Open Source Software for Social Good (OSS4SG) projects aim to address critical societal challenges, such as healthcare access and community safety. Understanding the community dynamics and contributor patterns in these projects is essential for ensuring their sustainability and long-term impact. However, while extensive research has focused on conventional Open Source Software (OSS), little is known about how the mission-driven nature of OSS4SG influences its development practices. To address this gap, we conduct a large-scale empirical study of 1,039 GitHub repositories, comprising 422 OSS4SG and 617 conventional OSS projects, to compare community structure, contributor engagement, and coding practices. Our findings reveal that OSS4SG projects foster significantly more stable and "sticky" (63.4%) communities, whereas conventional OSS projects are more "magnetic" (75.4%), attracting a high turnover of contributors. OSS4SG projects also demonstrate consistent engagement throughout the year, while conventional OSS communities exhibit seasonal fluctuations. Additionally, OSS4SG projects rely heavily on core contributors for both code quality and issue resolution, while conventional OSS projects leverage casual contributors for issue resolution, with core contributors focusing primarily on code quality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_03430 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | An Empirical Analysis of Community and Coding Patterns in OSS4SG vs. Conventional OSS Ouf, Mohamed Noei, Shayan Van Iterson, Zeph Guizani, Mariam Zou, Ying Software Engineering Computers and Society Open Source Software for Social Good (OSS4SG) projects aim to address critical societal challenges, such as healthcare access and community safety. Understanding the community dynamics and contributor patterns in these projects is essential for ensuring their sustainability and long-term impact. However, while extensive research has focused on conventional Open Source Software (OSS), little is known about how the mission-driven nature of OSS4SG influences its development practices. To address this gap, we conduct a large-scale empirical study of 1,039 GitHub repositories, comprising 422 OSS4SG and 617 conventional OSS projects, to compare community structure, contributor engagement, and coding practices. Our findings reveal that OSS4SG projects foster significantly more stable and "sticky" (63.4%) communities, whereas conventional OSS projects are more "magnetic" (75.4%), attracting a high turnover of contributors. OSS4SG projects also demonstrate consistent engagement throughout the year, while conventional OSS communities exhibit seasonal fluctuations. Additionally, OSS4SG projects rely heavily on core contributors for both code quality and issue resolution, while conventional OSS projects leverage casual contributors for issue resolution, with core contributors focusing primarily on code quality. |
| title | An Empirical Analysis of Community and Coding Patterns in OSS4SG vs. Conventional OSS |
| topic | Software Engineering Computers and Society |
| url | https://arxiv.org/abs/2601.03430 |