Automated Assumption Generation for Compositional Verification

Anubhav Gupta, Kenneth L. McMillan, Zhaohui Fu

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.

External IDs:dblp:conf/cav/GuptaMF07