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2006 30th Annual IEEE/NASA Software Engineering Workshop最新文献

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Integrating Probability with Time and Shared-Variable Concurrency 概率与时间的集成与共享变量并发
Pub Date : 2006-04-01 DOI: 10.1109/SEW.2006.22
Huibiao Zhu, S. Qin, Jifeng He, Jonathan P. Bowen
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
复杂的软件系统通常涉及时间、并发性和概率等特征,其中概率计算起着越来越重要的作用。将包含所有这些特性的语言形式化是一项挑战。在本文中,我们将概率、时间和并发性集成在一个模型中,其中并发性特征使用基于共享变量的通信建模。概率特征由概率不确定性选择、概率保护选择和并行组合的概率版本表示。我们为这样的集成形式化了一个操作语义。在此模型的基础上,我们定义了一个双模拟关系,由此研究了概率规划之间的观测等价性,并探讨了一组代数定律。我们还实现了一个操作语义的原型来动画化概率程序的执行
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引用次数: 6
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2006 30th Annual IEEE/NASA Software Engineering Workshop
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