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Finding All Minimal Safe Inductive Sets

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10929))

Abstract

Computing minimal (or even just small) certificates is a central problem in automated reasoning and, in particular, in automated formal verification. For unsatisfiable formulas in CNF such certificates take the form of Minimal Unsatisfiable Subsets (MUSes) and have a wide range of applications. As a formula can have multiple MUSes that each provide different insights on unsatisfiability, commonly studied problems include computing a smallest MUS (SMUS) or computing all MUSes (AllMUS) of a given unsatisfiable formula. In this paper, we consider certificates to safety properties in the form of Minimal Safe Inductive Sets (MSISes), and we develop algorithms for exploring such certificates by computing a smallest MSIS (SMSIS) or computing all MSISes (AllMSIS) of a given safe inductive invariant. More precisely, we show how the well-known MUS enumeration algorithms CAMUS and MARCO can be adapted to MSIS enumeration.

R. Berryhill—This work was completed while Ryan Berryhill was an intern at IBM Research Haifa.

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Berryhill, R., Ivrii, A., Veneris, A. (2018). Finding All Minimal Safe Inductive Sets. In: Beyersdorff, O., Wintersteiger, C. (eds) Theory and Applications of Satisfiability Testing – SAT 2018. SAT 2018. Lecture Notes in Computer Science(), vol 10929. Springer, Cham. https://doi.org/10.1007/978-3-319-94144-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-94144-8_21

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