The paper shows that, by an appropriate choice of a rich a ssertional language, it is possible to extend the utility o f s y m bolic model checking beyond the realm of bdd-represented nite-state systems into the domain of in nite-state systems, leading to a powerful technique for uniform veri cation of unbounded (parameterized) process networks. The main contributions of the paper are a formulation of a general framework for symbolic model checking of in nite-state systems, a demonstration that many individual examples of uniformly veri ed parameterized designs that appear in the literature are special cases of our general approach, verifying the correctness of the Futurebus+ design for all single-bus con gurations, extending the technique to tree architectures, and establishing that the presented method is a precise dual to the top-down invariant generation method used in deductive v eri cation.
Abstract. The paper shows that, by an appropriate choice of a rich a ssertional language, it is possible to extend the utility o f s y m bolic model checking beyond the realm of bdd-represented nite-state systems into the domain of in nite-state systems, leading to a powerful technique for uniform veri cation of unbounded (parameterized) process networks. The main contributions of the paper are a formulation of a general framework for symbolic model checking of in nite-state systems, a demonstration that many individual examples of uniformly veri ed parameterized designs that appear in the literature are special cases of our general approach, verifying the correctness of the Futurebus+ design for all single-bus con gurations, extending the technique to tree architectures, and establishing that the presented method is a precise dual to the top-down invariant generation method used in deductive v eri cation.
We present wave, a verifier for interactive, database-driven Web applications specified using high-level modeling tools such as WebML. wave is complete for a broad class of applications and temporal properties. For other applications, wave can be used as an incomplete verifier, as commonly done in software verification. Our experiments on four representative data-driven applications and a battery of common properties yielded surprisingly good verification times, on the order of seconds. This suggests that interactive applications controlled by database queries may be unusually well suited to automatic verification. They also show that the coupling of model checking with database optimization techniques used in the implementation of wave can be extremely effective. This is significant both to the database area and to automatic verification in general.
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