基于安全关键部件的系统设计时建模与验证研究

N. Kajtazovic, C. Preschern, Andrea Höller, Christian Kreiner
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引用次数: 2

摘要

基于组件的软件工程(CBSE)是目前用于开发安全关键系统的关键范例。它提供了一种控制系统复杂性的基本方法,允许设计系统部件(即组件)以供重用,并允许独立开发这些部件。在该领域引入CBSE的主要挑战之一是,在从单个组件构建系统后,确保整个系统的完整性,因为安全关键系统需要严格的开发和认证过程才能投入使用。尽管在过去十年中,基于组件的系统背景下的组合建模和验证的主题已经得到了深入的研究,但目前仍然缺乏可以实际应用的工具和方法,并且考虑到主要相关的系统质量属性,如可用性和可扩展性。在本文中,我们提出了一种基于组件数据语义的安全关键系统设计时建模和验证的新方法。我们将组合,即系统设计,以及组件的底层属性描述为约束满足问题(CSP),并通过解决该问题来执行验证。我们证明了CSP可以成功地应用于许多类型性质的组合物的验证。在我们的实验设置中,我们还展示了所提出的验证如何考虑到不同系统配置的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Design-time Modelling and Verification of Safety-critical Component-based Systems
Component-based Software Engineering (CBSE) is currently a key paradigm used for developing safetycritical systems. It provides a fundamental means to master systems complexity, by allowing to design systems parts (i.e., components) for reuse and by allowing to develop those parts independently. One of the main challenges of introducing CBSE in this area is to ensure the integrity of the overall system after building it from individual components, since safety-critical systems require a rigorous development and qualification process to be released for the operation. Although the topic of compositional modelling and verification in the context of component-based systems has been studied intensively in the last decade, there is currently still a lack of tools and methods that can be applied practically and that consider major related systems quality attributes such as usability and scalability. In this paper, we present a novel approach for design-time modelling and verification of safety-critical systems, based on data semantics of components. We describe the composition, i.e., the systems design, and the underlying properties of components as a Constraint Satisfaction Problem (CSP) and perform the verification by solving that problem. We show that CSP can be successfully applied for the verification of compositions for many types of properties. In our experimental setup we also show how the proposed verification scales with regard to the complexity of different system configurations.
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