用CSP描述随机性质

K. Kavi, Frederick T. Sheldon
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引用次数: 6

摘要

复杂系统形式化规范与验证的研究往往忽略了系统随机特性的规范。我们正在探索新的方法和工具,以便对基于csp的系统规范进行随机分析。在此过程中,我们研究了规范模型和随机模型之间的关系,将规范转换为另一种适合这种分析的形式(例如,从CSP到随机Petri网)。此过程可以为原始规范的进一步细化提供洞察力(即,识别潜在的故障过程和恢复操作)。它将可靠性分析所需的参数与用户级规格联系起来,这对于实现在成本、功能、性能和可靠性方面满足用户需求的系统至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Specification of stochastic properties with CSP
The research in formal specification and verification of complex systems has often ignored the specification of stochastic properties of the system. We are exploring new methodologies and tools to permit stochastic analysis of CSP-based systems specifications. In doing so, we have investigated the relationship between specification models and stochastic models by translating the specification into another form that is amenable to such analyses (e.g., from CSP to stochastic Petri Nets). This process can give insight for further refinements of the original specification (i.e., identify potential failure processes and recovery actions). It does this by relating the parameters needed for reliability analysis to user level specifications which is essential for realizing systems that meet the users needs in terms of cost, functionality, performance and reliability.
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