Abstraction refinement for bounded model checking

  • Authors:
  • Anubhav Gupta;Ofer Strichman

  • Affiliations:
  • School of Computer Science, Carnegie Mellon University;Information Systems Engineering, Technion, Israel

  • Venue:
  • CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
  • Year:
  • 2005

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Abstract

Counterexample-Guided Abstraction Refinement (cegar) techniques have been very successful in model checking large systems. While most previous work has focused on model checking, this paper presents a Counterexample-Guided abstraction refinement technique for Bounded Model Checking (bmc). Our technique makes bmc much faster, as indicated by our experiments. bmc is also used for generating refinements in the Proof-Based Refinement (pbr) framework. We show that our technique unifies pbr and cegar into an abstraction-refinement framework that can balance the model checking and refinement efforts.