Understanding the Helpfulness of Stale Bot for Pull-Based Development: An Empirical Study of 20 Large Open-Source Projects

Author:

Khatoonabadi Sayedhassan1ORCID,Costa Diego Elias1ORCID,Mujahid Suhaib2ORCID,Shihab Emad1ORCID

Affiliation:

1. Concordia University, Canada

2. Mozilla Corporation, Canada

Abstract

Pull Requests (PRs) that are neither progressed nor resolved clutter the list of PRs, making it difficult for the maintainers to manage and prioritize unresolved PRs. To automatically track, follow up, and close such inactive PRs, Stale bot was introduced by GitHub. Despite its increasing adoption, there are ongoing debates on whether using Stale bot alleviates or exacerbates the problem of inactive PRs. To better understand if and how Stale bot helps projects in their pull-based development workflow, we perform an empirical study of 20 large and popular open source projects. We find that Stale bot can help deal with a backlog of unresolved PRs, as the projects closed more PRs within the first few months of adoption. Moreover, Stale bot can help improve the efficiency of the PR review process as the projects reviewed PRs that ended up merged and resolved PRs that ended up closed faster after the adoption. However, Stale bot can also negatively affect the contributors, as the projects experienced a considerable decrease in their number of active contributors after the adoption. Therefore, relying solely on Stale bot to deal with inactive PRs may lead to decreased community engagement and an increased probability of contributor abandonment.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference77 articles.

1. effectsize: Estimation of Effect Size Indices and Standardized Parameters

2. The Silent Helper: The Impact of Continuous Integration on Code Reviews

3. Evolution of ReportingPValues in the Biomedical Literature, 1990-2015

4. Dominance statistics: Ordinal analyses to answer ordinal questions.

5. John W. Creswell and J. David Creswell. 2017. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/research-design/book255675

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