Automatic verification of finite-state concurrent systems using temporal logic specifications
ACM Transactions on Programming Languages and Systems (TOPLAS)
Updating logical databases
Enhancing model checking in verification by AI techniques
Artificial Intelligence
Propositional belief base update and minimal change
Artificial Intelligence
Model checking
FMCAD '02 Proceedings of the 4th International Conference on Formal Methods in Computer-Aided Design
NUSMV: A New Symbolic Model Verifier
CAV '99 Proceedings of the 11th International Conference on Computer Aided Verification
Logic in Computer Science: Modelling and Reasoning about Systems
Logic in Computer Science: Modelling and Reasoning about Systems
CTL model update for system modifications
Journal of Artificial Intelligence Research
A unified view of propositional knowledge base updates
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
An analysis of SAT-based model checking techniques in an industrial environment
CHARME'05 Proceedings of the 13 IFIP WG 10.5 international conference on Correct Hardware Design and Verification Methods
NFM'12 Proceedings of the 4th international conference on NASA Formal Methods
Belief revision on computation tree logic
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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Model checking is one of the most robust techniques in automated system verification. But, although this technique can handle complex verifications, model checking tools usually do not give any information on how to repair inconsistent system models. In this paper, we show that approaches developed for CTL model update cannot deal with all kinds of model changes. We introduce the concept of CTL model revision: an approach based on belief revision to handle system inconsistency in a static context. We relate our proposal to classical works in belief revision and give an algorithm sketch.