Automated assumption generation for compositional verification

  • Authors:
  • Anubhav Gupta;Kenneth L. McMillan;Zhaohui Fu

  • Affiliations:
  • Cadence Berkeley Labs;Cadence Berkeley Labs;Department of Electrical Engineering, Princeton University

  • Venue:
  • CAV'07 Proceedings of the 19th international conference on Computer aided verification
  • Year:
  • 2007

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Abstract

We describe a method for computing an exact minimal automaton to act as an intermediate assertion in assume-guarantee reasoning, using a sampling approach and a Boolean satisfiability solver. For a set of synthetic benchmarks intended to mimic common situations in hardware verification, this is shown to be significantly more effective than earlier approximate methods based on Angluin's L* algorithm. For many of these benchmarks, this method also outperforms BDD-based model checking and interpolation-based model checking.