An Empirical Analysis of Community and Coding Patterns in OSS4SG vs. Conventional OSS

TL;DR

This study presents the first large-scale quantitative comparison of OSS4SG and conventional OSS, analyzing 1,039 GitHub repositories to understand how mission-driven goals influence community structure, contributor engagement, and code quality. Using 23 standardized metrics, 3-month join/leave windows, lifecycle segmentation, time-series clustering with Soft-DTW, and static analysis (Qodana) plus structural metrics (Understand), the authors reveal that OSS4SG forms stable, sticky communities with year-round core engagement, while conventional OSS experiences higher popularity but more volatile, turnover-prone core activity. The analysis shows OSS4SG centralizes quality management within core contributors and maintains sustained issue resolution, whereas conventional OSS distributes quality responsibilities across casual contributors and core maintainers, leading to distinct quality profiles. These findings offer practical guidance for maintainers, suggesting OSS4SG can learn from OSS visibility practices without compromising mission alignment, and that conventional OSS could enhance retention by weaving mission-oriented narratives into development processes. Overall, the work provides actionable insights into how motivational differences shape sustainability, engagement patterns, and maintainability in open-source ecosystems, and it contributes open replication data and scripts for future studies.

Abstract

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.

Figures (6)

• Figure 1: Time-series comparison of join and leave rates for OSS4SG and conventional OSS projects. The background color indicates early, mid, and late stages.
• Figure 2: Scott-Knott clusters Comparison of retention ratios between OSS4SG and conventional OSS projects.
• Figure 3: Visualization of the four quadrants classification using median splits of the join and leave rates in OSS4SG and OSS projects. Kernel density estimation (KDE) wiki:KernelDensityEstimation is used to represent project distributions, where darker regions indicate higher project density.
• Figure 4: Commit frequency plots showing time-series comparisons between OSS4SG and conventional OSS for core and casual contributors.
• Figure 5: Annual pattern of core developer contribution ratio (code churn).