SysML活动图的形式化规范和概率验证

Yosr Jarraya, M. Debbabi
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引用次数: 9

摘要

模型驱动工程指的是在整个系统和软件开发生命周期中使用模型的一系列工程方法。为了在模型驱动工程的实践中保持成功,我们提出了一个概率验证框架,支持针对一组定量和定性需求分析SysML活动图。为此,我们提出了一种算法,将SysML活动图映射到概率模型,特别是马尔可夫决策过程,用概率符号模型检查器(PRISM)语言表示。生成的模型可以根据概率计算树逻辑中表示的一组属性进行验证。为了使我们的方法自动化,我们开发了一个原型工具,它连接了建模环境和模型检查器PRISM。为了说明我们的方法的可用性和优点,我们研究了它的可伸缩性并给出了一个案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formal Specification and Probabilistic Verification of SysML Activity Diagrams
Model-driven engineering refers to a range of engineering approaches that uses models throughout systems and software development life cycle. Towards sustaining the success in practice of model-driven engineering, we present a probabilistic verification framework supporting the analysis of SysML activity diagrams against a set of quantitative and qualitative requirements. To this end, we propose an algorithm that maps SysML activity diagrams into probabilistic models, specifically Markov decision processes, expressed in the probabilistic symbolic model-checker (PRISM) language. The generated model can be verified against a set of properties expressed in the probabilistic computation tree logic. In order to automate our approach, we developed a prototype tool that interfaces both a modeling environment and the model-checker PRISM. In order to illustrate the usability and benefit of our approach, we investigate its scalability and present a case study.
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