Modalities for model checking: branching time logic strikes back
Science of Computer Programming
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LICS '06 Proceedings of the 21st Annual IEEE Symposium on Logic in Computer Science
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SFCS '77 Proceedings of the 18th Annual Symposium on Foundations of Computer Science
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Model checking-based genetic programming with an application to mutual exclusion
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Genetic Programming and Model Checking: Synthesizing New Mutual Exclusion Algorithms
ATVA '08 Proceedings of the 6th International Symposium on Automated Technology for Verification and Analysis
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ATVA'10 Proceedings of the 8th international conference on Automated technology for verification and analysis
Relentful strategic reasoning in alternating-time temporal logic
LPAR'10 Proceedings of the 16th international conference on Logic for programming, artificial intelligence, and reasoning
Synthesizing solutions to the leader election problem using model checking and genetic programming
HVC'09 Proceedings of the 5th international Haifa verification conference on Hardware and software: verification and testing
Measuring and synthesizing systems in probabilistic environments
CAV'10 Proceedings of the 22nd international conference on Computer Aided Verification
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TACAS'10 Proceedings of the 16th international conference on Tools and Algorithms for the Construction and Analysis of Systems
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Model checking typically compares a system description with a formal specification, and returns either a counterexample or an affirmation of compatibility between the two descriptions. Counterexamples provide evidence to the existence of an error, but it can still be very difficult to understand what is the cause for that error. We propose a model checking methodology which uses two levels of specification. Under this methodology, we group executions as goodand badwith respect to satisfying a baseLTL specification. We use an analysis specification, in CTL茂戮驴style, quantifying over the good and bad executions. This specification allows checking not only whetherthe base specification holds or fails to hold in a system, but also howit does so. We propose a model checking algorithm in the style of the standard CTL茂戮驴decision procedure. This framework can be used for comparing between good and bad executions in a system and outside it, providing assistance in locating the design or programming errors.