MARCIE’s secrets of efficient model checking

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Abstract

MARCIE is a Petri net analysis tool supporting qualitative and quantitative analyses including model checking facilities. Particular features are symbolic state space analysis including efficient saturationbased state space generation, evaluation of standard Petri net properties, and CTL model checking. Most of MARCIE’s features build on Interval Decision Diagrams (IDDs) to efficiently encode interval logic functions representing marking sets of bounded Petri nets. This allows the efficient support of qualitative state space based analysis techniques. Among others, MARCIE applies heuristics for the computation of static variable orders to obtain concise IDD representations. In this paper we focus on those aspects which are crucial for MARCIE’s regular success in the annual Model Checking Contest of the Petri net community.

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Heiner, M., Rohr, C., Schwarick, M., & Tovchigrechko, A. A. (2016). MARCIE’s secrets of efficient model checking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9930 LNCS, pp. 286–296). Springer Verlag. https://doi.org/10.1007/978-3-662-53401-4_14

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