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Automata-Driven Partial Order Reduction and Guided Search for LTL Model Checking

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Verification, Model Checking, and Abstract Interpretation (VMCAI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13182))

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Abstract

In LTL model checking, a system model is synchronized using the product construction with Büchi automaton representing all runs that invalidate a given LTL formula. An existence of a run with infinitely many occurrences of an accepting state in the product automaton then provides a counter-example to the validity of the LTL formula. Classical partial order reduction methods for LTL model checking allow to considerably prune the searchable state space, however, the majority of published approaches do not use the information about the current Büchi state in the product automaton. We demonstrate that this additional information can be used to significantly improve the performance of existing techniques. In particular, we present a novel partial order method based on stubborn sets and a heuristically guided search, both driven by the information of the current state in the Büchi automaton. We implement these techniques in the model checker TAPAAL and an extensive benchmarking on the dataset of Petri net models and LTL formulae from the 2021 Model Checking Contest documents that the combination of the automata-driven stubborn set reduction and heuristic search improves the state-of-the-art techniques by a significant margin.

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Notes

  1. 1.

    https://mcc.lip6.fr/.

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Acknowledgments

We thank to Yann Thierry-Mieg for creating the oracle database of correct answers for queries from the model checking contest that we used extensively for testing our implementation.

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Authors and Affiliations

  1. Department of Computer Science, Aalborg University, Aalborg, Denmark

    Peter Gjøl Jensen, Jiří Srba, Nikolaj Jensen Ulrik & Simon Mejlby Virenfeldt

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  1. Peter Gjøl Jensen
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Correspondence to Nikolaj Jensen Ulrik .

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  1. Helmholtz Center for Information Security, Saarbrücken, Germany

    Bernd Finkbeiner

  2. New York University, New York, NY, USA

    Thomas Wies

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Jensen, P.G., Srba, J., Ulrik, N.J., Virenfeldt, S.M. (2022). Automata-Driven Partial Order Reduction and Guided Search for LTL Model Checking. In: Finkbeiner, B., Wies, T. (eds) Verification, Model Checking, and Abstract Interpretation. VMCAI 2022. Lecture Notes in Computer Science(), vol 13182. Springer, Cham. https://doi.org/10.1007/978-3-030-94583-1_8

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