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  • A model checker for hierarchical probabilistic real-time systems

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    Author(s)
    Song, S
    Sun, J
    Liu, Y
    Dong, JS
    Griffith University Author(s)
    Dong, Jin-Song
    Year published
    2012
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    Abstract
    Real-life systems are usually hard to control, due to their complicated structures, quantitative time factors and even stochastic behaviors. In this work, we present a model checker to analyze hierarchical probabilistic real-time systems. A modeling language called PRTS is used to specify such systems, and automatic zone-abstraction approach, which is probability preserving, is used to generate finite state MDP. We have implemented PRTS in model checking framework PAT so that friendly user interface can be used to edit, simulate and verify PRTS models. Some experiments are conducted to show our tool’s efficiency.Real-life systems are usually hard to control, due to their complicated structures, quantitative time factors and even stochastic behaviors. In this work, we present a model checker to analyze hierarchical probabilistic real-time systems. A modeling language called PRTS is used to specify such systems, and automatic zone-abstraction approach, which is probability preserving, is used to generate finite state MDP. We have implemented PRTS in model checking framework PAT so that friendly user interface can be used to edit, simulate and verify PRTS models. Some experiments are conducted to show our tool’s efficiency.
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    Journal Title
    Lecture Notes in Computer Science
    Volume
    7358 LNCS
    DOI
    https://doi.org/10.1007/978-3-642-31424-7_53
    Copyright Statement
    © 2012 Springer International Publishing AG. This is an electronic version of an article published in Lecture Notes In Computer Science (LNCS), Vol. 7358LNCS pp. 705-711. Lecture Notes In Computer Science (LNCS) is available online at: http://link.springer.com// with the open URL of your article.
    Subject
    Software engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/172911
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    • Journal articles

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