State Space Reduction of Linear Processes Using Control Flow Reconstruction

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    Abstract

    We present a new method for fighting the state space explosion of process algebraic specifications, by performing static analysis on an intermediate format: linear process equations (LPEs). Our method consists of two steps: (1) we reconstruct the LPE's control flow, detecting control flow parameters that were introduced by linearisation as well as those already encoded in the original specification; (2) we reset parameters found to be irrelevant based on data flow analysis techniques similar to traditional liveness analysis, modified to take into account the parallel nature of the specifications. Our transformation is correct with respect to strong bisimilarity, and never increases the state space. Case studies show that impressive reductions occur in practice, which could not be obtained automatically without reconstructing the control flow.
    Original languageEnglish
    Title of host publicationAutomated Technology for Verification and Analysis
    Subtitle of host publication7th International Symposium, ATVA 2009, Macao, China, October 14-16, 2009. Proceedings
    EditorsZhiming Liu, Anders P. Ravn
    Place of PublicationBerlin
    PublisherSpringer
    Pages54-68
    Number of pages15
    ISBN (Electronic)978-3-642-04761-9
    ISBN (Print)978-3-642-04760-2
    DOIs
    Publication statusPublished - 13 Oct 2009
    Event7th International Symposium on Automated Technology for Verification and Analysis, ATVA 2009 - Macao, China
    Duration: 14 Oct 200916 Oct 2009
    Conference number: 7

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume5799
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference7th International Symposium on Automated Technology for Verification and Analysis, ATVA 2009
    Abbreviated titleATVA
    Country/TerritoryChina
    CityMacao
    Period14/10/0916/10/09

    Keywords

    • IR-68161
    • METIS-264067
    • Dead variable analysis
    • EWI-16155
    • Process Algebra
    • Control flow reconstruction
    • State space reduction

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