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  • A UTP semantics for communicating processes with shared variables

    Author(s)
    Shi, L
    Zhao, Y
    Liu, Y
    Sun, J
    Dong, JS
    Qin, S
    Griffith University Author(s)
    Dong, Jin-Song
    Year published
    2013
    Metadata
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    Abstract
    CSP# (Communicating Sequential Programs) is a modelling language designed for specifying concurrent systems by integrating CSP-like compositional operators with sequential programs updating shared variables. In this paper, we define an observation-oriented denotational semantics in an open environment for the CSP# language based on the UTP framework. To deal with shared variables, we lift traditional event-based traces into hybrid traces which consist of event-state pairs for recording process behaviours. We also define refinement to check process equivalence and present a set of algebraic laws which are established based ...
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    CSP# (Communicating Sequential Programs) is a modelling language designed for specifying concurrent systems by integrating CSP-like compositional operators with sequential programs updating shared variables. In this paper, we define an observation-oriented denotational semantics in an open environment for the CSP# language based on the UTP framework. To deal with shared variables, we lift traditional event-based traces into hybrid traces which consist of event-state pairs for recording process behaviours. We also define refinement to check process equivalence and present a set of algebraic laws which are established based on our denotational semantics. Our approach thus provides a rigorous means for reasoning about the correctness of CSP# process behaviours. We further derive a closed semantics by focusing on special types of hybrid traces; this closed semantics can be linked with existing CSP# operational semantics.
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    Journal Title
    Lecture Notes in Computer Science
    Volume
    8144 LNCS
    DOI
    https://doi.org/10.1007/978-3-642-41202-8_15
    Subject
    Software engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/172897
    Collection
    • Journal articles

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