Partially Bounded Context-Aware Verification

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Abstract

Model-checking enables the formal verification of software systems. Powerful and automated, this technique suffers, however, from the state-space explosion problem because of the exponential growth in the number of states with respect to the number of interacting components. To address this problem, the Context-aware Verification (CaV) approach decomposes the verification problem using environment-based guides. This approach improves the scalability but it requires an acyclic specification of the verification guides, which are difficult to specify without losing completeness. In this paper, we present a new verification strategy that generalises CaV while ensuring the decomposability of the state-space. The approach relies on a language for the specification of the arbitrary guides, which relaxes the acyclicity requirement, and on a partially-bounded verification procedure. The effectiveness of our approach is showcased through a case-study from the aerospace domain, which shows that the scalability is maintained while easing the conception of the verification guides.

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APA

Le Roux, L., & Teodorov, C. (2019). Partially Bounded Context-Aware Verification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11724 LNCS, pp. 532–548). Springer Verlag. https://doi.org/10.1007/978-3-030-30446-1_28

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