On Finding Minimum Satisfying Assignments

摘要

Given a Satisfiability Modulo Theories (SMT) formula, a minimum satisfying assignment (MSA) is a partial assignment of minimum size that ensures the formula is satisfied. Minimum satisfying assignments find a number of practical applications that include software and hardware verification, among others. Recent work proposes the use of branch-and-bound search for computing MSAs. This paper proposes a novel counterexample-guided implicit hitting set approach for computing one MSA. Experimental results show significant performance gains over existing approaches.