Approximate Model Checking of Stochastic COWS

Paola Quaglia, Stefano Schivo

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)


    Given the description of a model and a probabilistic formula, approximate model checking is a verification technique based on statistical reasoning that allows answering whether or not the model satisfies the formula. Only a subset of the properties that can be analyzed by exact model checking can be attacked by approximate methods. These latest methods, though, being based on simulation and sampling have the advantage of not requiring the generation of the complete state-space of the model. Here we describe an efficient tool for the approximate model checking of services written in a stochastic variant of COWS, a process calculus for the orchestration of services.
    Original languageUndefined
    Title of host publication5th International Symposium on Trustworthly Global Computing, TGC 2010
    Place of PublicationBerlin
    Number of pages13
    ISBN (Print)978-3-642-15639-7
    Publication statusPublished - 2010
    Event5th International Symposium on Trustworthy Global Computing 2010 - Munich, Germany
    Duration: 24 Feb 201026 Feb 2010
    Conference number: 5

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag


    Conference5th International Symposium on Trustworthy Global Computing 2010
    Abbreviated titleTGC 2010


    • IR-75853
    • EWI-19431
    • METIS-276316

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