Symbolic Partial-Order Execution for Testing Multi-Threaded Programs

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Abstract

We describe a technique for systematic testing of multi-threaded programs. We combine Quasi-Optimal Partial-Order Reduction, a state-of-the-art technique that tackles path explosion due to interleaving non-determinism, with symbolic execution to handle data non-determinism. Our technique iteratively and exhaustively finds all executions of the program. It represents program executions using partial orders and finds the next execution using an underlying unfolding semantics. We avoid the exploration of redundant program traces using cutoff events. We implemented our technique as an extension of KLEE and evaluated it on a set of large multi-threaded C programs. Our experiments found several previously undiscovered bugs and undefined behaviors in memcached and GNU sort, showing that the new method is capable of finding bugs in industrial-size benchmarks.

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Schemmel, D., Büning, J., Rodríguez, C., Laprell, D., & Wehrle, K. (2020). Symbolic Partial-Order Execution for Testing Multi-Threaded Programs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12224 LNCS, pp. 376–400). Springer. https://doi.org/10.1007/978-3-030-53288-8_18

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