彩色Petri网验证基于bom的组合模型的动态语义可组合性

Imran Mahmood, R. Ayani, Vladimir Vlassov, F. Moradi
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引用次数: 10

摘要

模型重用是有效开发仿真系统的一种很有前途和吸引力的约定,因为它可以减少开发成本和时间。在这个领域中,各种方法的进步已经引起了不同组件可重用性框架的发展,例如BOM (Base Object Model,基础对象模型)。但这些框架缺乏组件匹配和对组合能力验证和验证的支持,难以实现有效和有意义的重用。本文重点研究了基于BOM的组合能力验证问题,提出了一种基于动态语义层的组合模型验证方法。我们建议对BOM组件进行扩展,以便更详细地捕获行为。然后,我们将扩展的BOM转换为我们提出的基于彩色Petri网(CPN)的组件模型,以便组件可以在抽象级别上组合和执行。随后,我们提倡使用CPN工具和分析技术来验证模型是否满足给定的需求。我们在不同的组中对系统的属性进行分类,并通过从这些组中选择一些属性来形成需求规范来表达模型的需求。此外,我们还给出了一个野战火炮模型的示例,在该模型中,我们选择了一组属性作为需求规范,并解释了如何使用CPN状态空间分析技术来验证所需的属性。我们的经验证实,CPN工具为组合模型的验证提供了强有力的支持。
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Verifying Dynamic Semantic Composability of BOM-Based Composed Models Using Colored Petri Nets
Model reuse is a promising and appealing convention for effective development of simulation systems as it offers reduction in development cost and time. Various methodological advances in this area have given rise to the development of different component reusability frameworks such as BOM (Base Object Model). But lack of component matching and weak support for compos ability verification and validation, in these frameworks, makes it difficult to achieve effective and meaningful reuse. In this paper we focus on Compos ability verification and propose a process to verify BOM based composed model at dynamic semantic level. We suggest an extension to the BOM components, to capture behavior at a greater detail. Then we transform the extended BOM into our proposed Colored Petri Nets (CPN) based component model so that the components can be composed and executed at an abstract level. Subsequently we advocate to use CPN tools and analysis techniques to verify that the model satisfy given requirements. We classify the properties of a system among different groups and express the model's requirements by selecting some of the properties from these groups to form requirement specification. Also we present an example of a Field Artillery model, in which we select a set of properties as requirement specification, and explain how CPN state-space analysis technique is used to verify the required properties. Our experience confirms that CPN tools provide strong support for verification of composed models.
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