Pruning Techniques for the SAT-based Bounded Model Checking Problem

Bounded Model Checking (BMC) is the problem of checking if a model satisses a temporal property in paths with bounded length k. Propositional SAT-based BMC is conducted in a gradual manner, by solving a series of SAT instances corresponding to formulations of the problem with increasing k. We show how the gradual nature can be exploited for shortening the overall veriication time. The concept is to reuse constraints on the search space which are deduced while checking a k instance , for speeding up the SAT checking of the consecutive k+1 instance. This technique can be seen as a generalization of 'pervasive clauses', a technique introduced by Silva and Sakallah in the context of Automatic Test Pattern Generation (ATPG). We deene the general conditions for reusability of constraints, and deene a simple procedure for evaluating them. This technique can theoretically be used in any solution that is based on solving a series of closely related SAT instances (instances with non-empty intersection between their set of clauses). We then continue by showing how a similar procedure can be used for restricting the search space of individual SAT instances corresponding to BMC invariant formulas. Experiments demonstrated that both techniques have consistent and signiicant positive eeect.