AMUSE: a minimally-unsatisfiable subformula extractor
Proceedings of the 41st annual Design Automation Conference
Word level predicate abstraction and refinement for verifying RTL verilog
Proceedings of the 42nd annual Design Automation Conference
Exploiting Resolution Proofs to Speed Up LTL Vacuity Detection for BMC
FMCAD '07 Proceedings of the Formal Methods in Computer Aided Design
Boosting a complete technique to find MSS and MUS thanks to a local search oracle
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Conformant planning via heuristic forward search: A new approach
Artificial Intelligence
A simple and flexible way of computing small unsatisfiable cores in SAT modulo theories
SAT'07 Proceedings of the 10th international conference on Theory and applications of satisfiability testing
SAT'08 Proceedings of the 11th international conference on Theory and applications of satisfiability testing
Efficient combination of decision procedures for MUS computation
FroCoS'09 Proceedings of the 7th international conference on Frontiers of combining systems
Boosting minimal unsatisfiable core extraction
Proceedings of the 2010 Conference on Formal Methods in Computer-Aided Design
On finding all minimally unsatisfiable subformulas
SAT'05 Proceedings of the 8th international conference on Theory and Applications of Satisfiability Testing
A fast linear-arithmetic solver for DPLL(T)
CAV'06 Proceedings of the 18th international conference on Computer Aided Verification
Deriving small unsatisfiable cores with dominators
CAV'06 Proceedings of the 18th international conference on Computer Aided Verification
An incremental and layered procedure for the satisfiability of linear arithmetic logic
TACAS'05 Proceedings of the 11th international conference on Tools and Algorithms for the Construction and Analysis of Systems
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Explaining the causes of infeasibility of formulas has practical applications in various fields, such as artificial intelligence and formal verification. A minimal unsatisfiable core provides a succinct explanation of infeasibility and is valuable for applications. The problem of deriving minimal unsatisfiable cores from Boolean formulas has been addressed rather frequently in recent years. However little attention has been concentrated on extraction of the first-order unsatisfiable subformulas. In this paper, we present DFS-Finder, which finds minimal unsatisfiable cores in first-order logic, adopting a heuristic depth-first-search strategy. We demonstrate the effectiveness of this approach on a very extensive test of SMT-LIB benchmarks.