PTSC: probability, time and shared-variable concurrency

Huibiao Zhu, Shengchao Qin, Jifeng He, Jonathan P. Bowen

    Research output: Contribution to journalArticlepeer-review


    Complex software systems typically involve features like time, concurrency and probability, where probabilistic computations play an increasing role. It is challenging to formalize languages comprising all these features. In this paper, we integrate probability, time and concurrency in one single model, where the concurrency feature is modelled using shared-variable-based communication. The probability feature is represented by a probabilistic nondeterministic choice, probabilistic guarded choice and a probabilistic version of parallel composition. We formalize an operational semantics for such an integration. Based on this model we define a bisimulation relation, from which an observational equivalence between probabilistic programs is investigated and a collection of algebraic laws are explored. We also implement a prototype of the operational semantics to animate the execution of probabilistic programs.
    Original languageEnglish
    JournalInnovations in Systems and Software Engineering
    Issue number4
    Publication statusPublished - 11 Aug 2009


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