Abstract—This paper addresses the field of Unbounded Model Checking (UMC) based on SAT engines, where Craig interpolants have recently gained wide acceptance as an automated abstraction technique. We start from the observation that interpolants can be quite effective on large verification instances. As they operate on SAT-generated refutation proofs, interpolants are very good at automatically abstract facts that are not significant for proofs. In this work, we push forward the new idea of generating abstractions without resorting to SAT proofs, and to accept (reject) abstractions whenever they (do not) fulfill given adequacy constraints. We propose an integrated approach smoothly combining the capabilities of interpolation with abstraction and over-approximation techniques, that do not directly derive from SAT refutation proofs. The driving idea of this combination is to incrementally generate, by refinement, an abstract (over-approximate) image, built up from equivalences, implications, ternary and localization abstraction, then (eventually) from SAT refutation proofs. Experimental results, derived from the verification of hard problems, show the robustness of our approach.

Automated Abstraction by Incremental Refinement in Interpolant-based Model Checking / Cabodi, Gianpiero; Camurati, Paolo Enrico; Murciano, Marco. - STAMPA. - (2008), pp. 129-136. (Intervento presentato al convegno ICCAD'08: IEEE/ACM International Conference on Computer Aided Design tenutosi a San Jose nel 10-13 nov 2008).

Automated Abstraction by Incremental Refinement in Interpolant-based Model Checking

CABODI, Gianpiero;CAMURATI, Paolo Enrico;MURCIANO, MARCO
2008

Abstract

Abstract—This paper addresses the field of Unbounded Model Checking (UMC) based on SAT engines, where Craig interpolants have recently gained wide acceptance as an automated abstraction technique. We start from the observation that interpolants can be quite effective on large verification instances. As they operate on SAT-generated refutation proofs, interpolants are very good at automatically abstract facts that are not significant for proofs. In this work, we push forward the new idea of generating abstractions without resorting to SAT proofs, and to accept (reject) abstractions whenever they (do not) fulfill given adequacy constraints. We propose an integrated approach smoothly combining the capabilities of interpolation with abstraction and over-approximation techniques, that do not directly derive from SAT refutation proofs. The driving idea of this combination is to incrementally generate, by refinement, an abstract (over-approximate) image, built up from equivalences, implications, ternary and localization abstraction, then (eventually) from SAT refutation proofs. Experimental results, derived from the verification of hard problems, show the robustness of our approach.
2008
9781424428205
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/1847470
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