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Model Checking Linear Properties of Prefix-Recognizable Systems

机译:前缀可识别系统的模型检查线性特性

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We develop an automata-theoretic framework for reasoning about linear properties of infinite-state sequential systems. Our framework is based on the observation that states of such systems, which carry a finite but unbounded amount of information, can be viewed as nodes in an infinite tree, and transitions between states can be simulated by finite-state automata. Checking that the system satisfies a temporal property can then be done by an alternating two-way automaton that navigates through the tree. We introduce path automata on trees. The input to a path automaton is a tree, but the automaton cannot split to copies and it can read only a single path of the tree. In particular, two-way nondeterministic path automata enable exactly the type of navigation that is required in order to check linear properties of infinite-state sequential systems. We demonstrate the versatility of the automata-theoretic approach by solving several versions of the model-checking problem for LTL specifications and prefix-recognizable systems. Our algorithm is exponential in both the size of (the description of) the system and the size of the LTL specification, and we prove a matching lower bound. This is the first optimal algorithm for solving the LTL model-checking problem for prefix recognizable systems. Our framework also handles systems with regular labeling.
机译:我们开发了一种自动机理论框架来推理无限状态顺序系统的线性特性。我们的框架基于这样的观察,即带有有限但无限制信息量的此类系统的状态可以视为无限树中的节点,并且状态之间的转换可以通过有限状态自动机来模拟。然后,可以通过在树中导航的交替双向自动机来检查系统是否满足时间属性。我们在树上介绍路径自动机。路径自动机的输入是一棵树,但是自动机无法拆分为副本,并且只能读取树的单个路径。特别地,双向不确定路径自动机可以准确地启用检查无限状态顺序系统的线性特性所需的导航类型。通过解决LTL规范和前缀可识别系统的模型检查问题的多个版本,我们证明了自动机理论方法的多功能性。我们的算法在系统的大小(描述)和LTL规范的大小上都是指数级的,并且证明了匹配的下限。这是解决前缀可识别系统的LTL模型检查问题的第一个最佳算法。我们的框架还处理带有常规标签的系统。

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