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  • CELL: A compositional verification framework

    Author(s)
    Ji, K
    Liu, Y
    Lin, SW
    Sun, J
    Dong, JS
    Nguyen, TK
    Griffith University Author(s)
    Dong, Jin-Song
    Year published
    2013
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    Abstract
    This paper presents CELL, a comprehensive and extensible framework for compositional verification of concurrent and real-time systems based on commonly used semantic models. For each semantic model, CELL offers three libraries, i.e., compositional verification paradigms, learning algorithms and model checking methods to support various state-of-the-art compositional verification approaches. With well-defined APIs, the framework could be applied to build customized model checkers. In addition, each library could be used independently for verification and program analysis purposes. We have built three model checkers with CELL. ...
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    This paper presents CELL, a comprehensive and extensible framework for compositional verification of concurrent and real-time systems based on commonly used semantic models. For each semantic model, CELL offers three libraries, i.e., compositional verification paradigms, learning algorithms and model checking methods to support various state-of-the-art compositional verification approaches. With well-defined APIs, the framework could be applied to build customized model checkers. In addition, each library could be used independently for verification and program analysis purposes. We have built three model checkers with CELL. The experimental results show that the performance of these model checkers can offer similar or often better performance compared to the state-of-the-art verification tools.
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    Journal Title
    Lecture Notes in Computer Science
    Volume
    8172 LNAI
    DOI
    https://doi.org/10.1007/978-3-319-02444-8_38
    Subject
    Software engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/172898
    Collection
    • Journal articles

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