Generalized craig interpolation for stochastic boolean satisfiability problems

Authors:
Tino Teige;Martin Fränzle
Affiliations:
Carl von Ossietzky Universität, Oldenburg, Germany;Carl von Ossietzky Universität, Oldenburg, Germany
Venue:
TACAS'11/ETAPS'11 Proceedings of the 17th international conference on Tools and algorithms for the construction and analysis of systems: part of the joint European conferences on theory and practice of software
Year:
2011

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Abstract

The stochastic Boolean satisfiability (SSAT) problem has been introduced by Papadimitriou in 1985 when adding a probabilistic model of uncertainty to propositional satisfiability through randomized quantification. SSAT has many applications, among them bounded model checking (BMC) of symbolically represented Markov decision processes. This paper identifies a notion of Craig interpolant for the SSAT framework and develops an algorithm for computing such interpolants based on SSAT resolution. As a potential application, we address the use of interpolation in SSAT-based BMC, turning the falsification procedure into a verification approach for probabilistic safety properties.