Problem
Research questions and friction points this paper is trying to address.
Software Forks
Synchronization Gaps
Fork-based Development
Contribution Propagation
Synchronization Delay
Mind the Gap: An Empirical Study of Synchronization Gaps, Delays, and Missed Opportunities in Software Forks
🤖 AI Summary
This study addresses security risks arising from missing synchronization in software forks by conducting the first large-scale empirical analysis of 3,820 active forks and developing an automated monitoring platform. Results indicate that only 6.92% of commits are synchronized, with 72.9% of delays attributable to propagation paradoxes and 65% of rejections stemming from non-technical factors rather than code quality. These findings reveal counterintuitive mechanisms underlying fork synchronization barriers. Furthermore, this work effectively enhances the identification and merging efficiency of valuable contributions, providing critical empirical evidence and practical tooling to improve code reuse and security patch dissemination within the open-source ecosystem.
📝 Abstract
Fork-based development enables parallel evolution of software, but unsynchronized contributions create persistent divergence: security patches, bug fixes, and quality improvements often fail to propagate across fork families, leaving downstream users exposed to known vulnerabilities or bugs and missing massive opportunities to improve the other repositories in the family. We present the first large-scale empirical study of fork synchronization, analyzing popular GitHub fork families with 3,820 actively maintained forks, and developed a monitoring platform to mine the valuable commits and promote their swift merging.
Our findings reveal a synchronization paradox: while 90% of submitted pull requests are merged, only 6.92% of fork commits ever appear in PRs, leaving massive fork development permanently unsynchronized across the families. Synchronization delay is pervasive and structurally uneven where fork propagation accounts for 72.9% of end-to-end commit lifecycle delay. Contrary to common assumptions, PR rejection is rarely caused by technical incorrectness; instead, 65% of rejections stem from superseded contributions, process violations, or maintainer policy decisions.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Software Forks
Synchronization Gaps
Empirical Study
Commit Mining
Pull Request Analysis
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