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Context-Aware Verification of a Cruise-Control System

机译:巡航控制系统的上下文感知验证

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Despite the high-level of automation, the practicability of model-checking large asynchronous models is hindered by the state-space explosion problem. To address this challenge the Context-aware Verification technique relies on the identification and explicit specification of the environment (context) in which the system-under-study operates. In this paper we apply this technique for the verification of a Cruise-control System (CCS). The asynchrony of this system renders traditional model-checking approaches almost impossible. Using the Context-aware Verification technique this task becomes manageable by relying on two powerful optimisation strategies enabled by the structural properties of the contexts: automatic context-splitting, a recursive state-space decomposition strategy; context-directed semi-external reachability analysis, an exhaustive analysis technique that reduces the memory pressure during verification through the use of external memory. In the case of the CCS system, this approach enabled the analysis of up to 5 times larger state-spaces than traditional approaches.
机译:尽管自动化程度很高,但是状态空间爆炸问题仍然妨碍了对大型异步模型进行模型检查的实用性。为了应对这一挑战,上下文感知验证技术依赖于被研究系统在其中运行的环境(上下文)的标识和显式指定。在本文中,我们将这种技术应用于巡航控制系统(CCS)的验证。该系统的异步性使得传统的模型检查方法几乎是不可能的。通过使用上下文感知验证技术,可以依靠两种强大的优化策略来管理此任务,这些优化策略由上下文的结构属性实现:自动上下文拆分,递归状态空间分解策略;上下文相关的半外部可达性分析,一种详尽的分析技术,可通过使用外部存储器来减少验证期间的存储器压力。在CCS系统的情况下,这种方法可以分析的状态空间是传统方法的5倍。

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