111 research outputs found

    Development of probabilistic timed CEGAR

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    In this paper, we present an efficient verification method for probabilistic timed automaton. This method based on predicate abstractions and refinements realizes effective automated verifications for real-time and probabilistic embedded systems

    IMITATOR II: A Tool for Solving the Good Parameters Problem in Timed Automata

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    We present here Imitator II, a new version of Imitator, a tool implementing the "inverse method" for parametric timed automata: given a reference valuation of the parameters, it synthesizes a constraint such that, for any valuation satisfying this constraint, the system behaves the same as under the reference valuation in terms of traces, i.e., alternating sequences of locations and actions. Imitator II also implements the "behavioral cartography algorithm", allowing us to solve the following good parameters problem: find a set of valuations within a given bounded parametric domain for which the system behaves well. We present new features and optimizations of the tool, and give results of applications to various examples of asynchronous circuits and communication protocols.Comment: In Proceedings INFINITY 2010, arXiv:1010.611
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