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arXiv · 2401.04221

RaceFixer -- An Automated Data Race Fixer

Sanjay Malakar·Tameem Bin Haider·Rifat Shahriar
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Abstract

Fixing software bugs has always been an essential and time-consuming process in software development. Fixing concurrency bugs has become especially critical in the multicore era. However, fixing concurrency bugs is challenging due to non-deterministic failures and tricky parallel reasoning. Beyond correctly fixing the original problem in the software, a good patch should also avoid introducing new bugs, degrading performance unnecessarily, or damaging software readability. Existing tools cannot automate the whole fixing process and provide good-quality patches. We present RaceFixer, a tool that automates the process of fixing one common type of concurrency bug: single-variable atomicity violations. RaceFixer starts from the bug reports of an existing bug-detection tool ThreadSanitizer. It augments these with static analysis to construct a suitable patch for each bug report. It tries to combine the patches of multiple bugs for better performance and code readability. Finally, we test RaceFixer on benchmarks from TheadSanitizer.

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Sanjay Malakar, Tameem Bin Haider, Rifat Shahriar. 2024-01-08. RaceFixer -- An Automated Data Race Fixer. https://arxiv.org/abs/2401.04221

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