Abstract
Predicate abstraction frameworks are a powerful means of combating the state explosion problem in model checking as they automatically synthesize abstract models that either verify compliance with a property, give rise to a genuine counter-example or produce a spurious counter-example that drives refinement of the abstract model. Prominent tools for safety (e.g. Blast) and termination (e.g. Terminator) checking rely on this approach. This paper presents such an abstraction framework for all properties of the modal μ-calculus based on ranked predicate abstraction. We show that our framework is incremental and confluent and should therefore allow good refinement heuristics. Moreover, ranked predicate abstractions are proved to be precise (i.e. optimal as abstractions) and also complete in that all properties true in a model are also true in a finite-state, ranked predicate abstraction of that model. This completeness relates to known characterizations of relative completeness for predicate abstraction with branching time.
This work is in part financially supported by the DFG project Refism (FE 942/1-1).
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Fecher, H., Huth, M. (2006). Ranked Predicate Abstraction for Branching Time: Complete, Incremental, and Precise. In: Graf, S., Zhang, W. (eds) Automated Technology for Verification and Analysis. ATVA 2006. Lecture Notes in Computer Science, vol 4218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11901914_25
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DOI: https://doi.org/10.1007/11901914_25
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