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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
Verifying concurrent programs is notoriously hard due to the state explosion problem: 1) the data state space can be very large as the variables can range over very large sets, and 2) the control state space is the Cartesian product of the control state space of the concurrent components and thus grows exponentially in the number of components. On the one hand, the most successful approaches to address the control state explosion problem are based on assume-guarantee reasoning or modelchecking<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-662-48899-7_17">doi:10.1007/978-3-662-48899-7_17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zylnorrtsjdjnpawvrpwjqdgby">fatcat:zylnorrtsjdjnpawvrpwjqdgby</a> </span>
more »... oupled with partial order reduction. On the other hand, the most successful techniques to address the data space explosion problem for sequential programs verification are based on the abstraction/refinement paradigm which consists in refining an abstract over-approximation of a program via predicate refinement. In this paper, we show that we can combine partial order reduction techniques with trace abstraction refinement. We apply our approach to standard benchmarks and show that it matches current state-of-the-art analysis techniques.
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