Addressing OSS Community Managers’ Challenges in Contributor Retention
Open Access
- 17 June 2026
- journal article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Software Engineering and Methodology
- Vol. 35 (7) , 1-38
Abstract
Open Source Software (OSS) community managers face significant challenges in retaining contributors, as they must monitor activity and engagement while navigating complex dynamics of collaboration. Current tools designed for managing contributor retention (e.g., dashboards) fall short by providing retrospective rather than predictive insights to identify potential disengagement early. Without understanding how to anticipate and prevent disengagement, new solutions risk burdening community managers rather than supporting retention management. Following the Design Science Research paradigm, we employed a mixed-methods approach for problem identification and solution design to address contributor retention. To identify the challenges hindering retention management in OSS, we conducted semi-structured interviews, a multi-vocal literature review, and community surveys. Then through an iterative build-evaluate cycle, we developed and refined strategies for diagnosing retention risks and informing engagement efforts. We operationalized these strategies into a web-based prototype, incorporating feedback from 100+ OSS practitioners, and conducted an in situ evaluation across two OSS communities. Our study offers (1) empirical insights into the challenges of contributor retention management in OSS, (2) actionable strategies that support OSS community managers’ retention efforts, and (3) a practical framework for future research in developing or validating theories about OSS sustainability.Keywords
All Related Versions
Funding Information
- National Science Foundation (2303043, 2303042, and 2303612)
This publication has 84 references indexed in Scilit:
- Will you come back to contribute? Investigating the inactivity of OSS core developers in GitHubEmpirical Software Engineering, 2022
- Predicting long-time contributors for GitHub projects using machine learningInformation and Software Technology, 2021
- The impact of talent management practices on employee turnover and retention intentionsGlobal Business and Organizational Excellence, 2021
- Privacy and security constraints for code contributionsSoftware: Practice and Experience, 2020
- Cross-Sectional StudiesChest, 2020
- How software engineering research aligns with design science: a reviewEmpirical Software Engineering, 2020
- Knowledge management in OSS communities: Relationship between dense and sparse network structuresInternational Journal of Information Management, 2018
- Empirical research in requirements engineering: trends and opportunitiesRequirements Engineering, 2016
- Recommender system based on workflowDecision Support Systems, 2009
- Cox regression models for quality adjusted survival analysisStatistics in Medicine, 1993