Computer-aided verification of coordinating processes: the automata-theoretic approach
Computer-aided verification of coordinating processes: the automata-theoretic approach
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Counterexample-guided choice of projections in approximate symbolic model checking
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Proceedings of the 5th and 6th International SPIN Workshops on Theoretical and Practical Aspects of SPIN Model Checking
FMCAD '02 Proceedings of the 4th International Conference on Formal Methods in Computer-Aided Design
Specification and verification of concurrent systems in CESAR
Proceedings of the 5th Colloquium on International Symposium on Programming
Counterexample-Guided Abstraction Refinement
CAV '00 Proceedings of the 12th International Conference on Computer Aided Verification
SAT Based Abstraction-Refinement Using ILP and Machine Learning Techniques
CAV '02 Proceedings of the 14th International Conference on Computer Aided Verification
Design and Synthesis of Synchronization Skeletons Using Branching-Time Temporal Logic
Logic of Programs, Workshop
Heuristic-Guided Abstraction Refinement
The Computer Journal
Integrating Evolutionary Computation with Abstraction Refinement for Model Checking
IEEE Transactions on Computers
Multiple-counterexample guided iterative abstraction refinement: an industrial evaluation
TACAS'03 Proceedings of the 9th international conference on Tools and algorithms for the construction and analysis of systems
SAT-based counterexample-guided abstraction refinement
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Improving Ariadne's Bundle by Following Multiple Threads in Abstraction Refinement
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Detecting spurious counterexamples efficiently in abstract model checking
Proceedings of the 2013 International Conference on Software Engineering
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Abstraction is one of the most important strategies for dealing with the state space explosion problem in model checking. In the abstract model, the state space is largely reduced, however, a counterexample found in such a model may not be a real counterexample. Accordingly, the abstract model needs to be further refined where an NP-hard state separation problem is often involved. In this paper, a novel method is presented, in which extra variables are added to the abstract model for the refinement. With this method, not only the NP-hard state separation problem can be avoided, but also a smaller refined abstract model can be obtained.