Compositional Abstraction of Stochastic Systems

Joost P. Katoen, Daniel Klink, M. Neuhausser

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    26 Citations (Scopus)
    277 Downloads (Pure)

    Abstract

    We propose to exploit three-valued abstraction to stochastic systems in a compositional way. This combines the strengths of an aggressive state-based abstraction technique with compositional modeling. Applying this principle to interactive Markov chains yields abstract models that combine interval Markov chains and modal transition systems in a natural and orthogonal way. We prove the correctness of our technique for parallel and symmetric composition and show that it yields lower bounds for minimal and upper bounds for maximal timed reachability probabilities.
    Original languageUndefined
    Title of host publicationFormal Modeling and Analysis of Timed Systems
    Place of PublicationBerlin
    PublisherSpringer
    Pages195-211
    Number of pages17
    ISBN (Print)978-3-642-04367-3
    DOIs
    Publication statusPublished - 3 Sept 2009
    Event7th International Conference on Formal Modeling and Analysis of Timed Systems - Budapest, Hungary
    Duration: 14 Sept 200916 Sept 2009

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume5813
    ISSN (Print)0302-9743

    Conference

    Conference7th International Conference on Formal Modeling and Analysis of Timed Systems
    Period14/09/0916/09/09
    Other14-16 Sept 2009

    Keywords

    • METIS-264292
    • EWI-17105
    • IR-69313

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