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Addressing the state explosion problem when visualizing off-nominal behaviors in a set of reactive requirements

机译:当在一组反应性需求中可视化名义外行为时,解决状态爆炸问题

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Reactive systems with a large degree of human interaction can be vulnerable to off-nominal behaviors (ONBs) that arise from the human operator's unpredictability. In prior research, we have addressed the ONB problems by developing an approach to translating a set of reactive requirements into the rule-based causal component model (CCM). The CCM's analysis involved expanding the CCM rules into a larger set of rules that encompass the system's entire state space, displaying both nominal and off-nominal behaviors as transition paths. However, a major limitation of CCM is the potential for state explosion, which grows as a function of the system's component states. In this paper, we introduce the causal scenario model (CSM), which uses the same rule-based approach, while addressing the state explosion problem associated with CCM. The CSM grows as a function of system components and provides a visually concise alternative to CCM, while still providing information useful in the exposing and addressing of ONBs during the requirements analysis phase. We introduce CSM and demonstrate the effectiveness of CSM, using a case study that would be more difficult to visualize using CCM, and most other state-based modeling techniques.
机译:具有较大程度的人机交互的反应性系统很容易受到因操作员的不可预测性而引起的偏离名义的行为(ONB)的影响。在先前的研究中,我们通过开发一种将一组反应性需求转换为基于规则的因果组件模型(CCM)的方法来解决ONB问题。 CCM的分析涉及将CCM规则扩展为涵盖系统整个状态空间的更大的规则集,同时将名义行为和名义外行为显示为过渡路径。但是,CCM的主要局限性在于状态爆炸的可能性,状态爆炸的可能性随系统组件状态的增长而增加。在本文中,我们介绍了因果情景模型(CSM),它使用相同的基于规则的方法,同时解决了与CCM相关的状态爆炸问题。 CSM随系统组件的增长而增长,并提供了CCM的直观简洁替代方案,同时仍提供在需求分析阶段对ONB的公开和寻址有用的信息。我们通过一个案例研究介绍CSM并证明CSM的有效性,而使用CCM和大多数其他基于状态的建模技术将使案例研究更加难以可视化。

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