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Automated assume-guarantee reasoning for simulation conformance. (English) Zbl 1081.68612
Etessami, Kousha (ed.) et al., Computer aided verification. 17th international conference, CAV 2005, Edinburgh, Scotland, UK, July 6–10, 2005. Proceedings. Berlin: Springer (ISBN 3-540-27231-3/pbk). Lecture Notes in Computer Science 3576, 534-547 (2005).
Summary: We address the issue of efficiently automating assume-guarantee reasoning for simulation conformance between finite state systems and specifications. We focus on a non-circular assume-guarantee proof rule, and show that there is a weakest assumption that can be represented canonically by a deterministic tree automata (DTA). We then present an algorithm $$L^{T}$$ that learns this DTA automatically in an incremental fashion, in time that is polynomial in the number of states in the equivalent minimal DTA. The algorithm assumes a teacher that can answer membership and candidate queries pertaining to the language of the unknown DTA. We show how the teacher can be implemented using a model checker. We have implemented this framework in the COMFORT toolkit and we report encouraging results (over an order of magnitude improvement in memory consumption) on non-trivial benchmarks.
For the entire collection see [Zbl 1078.68004].

##### MSC:
 68Q60 Specification and verification (program logics, model checking, etc.) 68Q32 Computational learning theory 68Q45 Formal languages and automata
ComFoRT
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