面向参数化LTL的预测监控器构造技术

介绍了一种基于自动机理论的参数化LTL(parameterized LTL(linear temporal logic),简称P_ALTL)公式运行时预测监控器构造方法.一方面研究P_ALTL公式的语法、预测语义、赋值提取以及赋值绑定等重要概念,从语法层面保证公式中参数化变量的正确绑定(binding)和使用(using);另一方面给出参数化预测监控器的概念.它由静态和动态两部分组成,静态部分由参数化Büchi自动机表示,动态部分为当前状态处的变量赋值.在系统运行过程中,预测监控器基于静态部分的参数化Büchi自动机,以on-the-fly的方式在当前状态处动态地提取和绑定变量赋值,递进地验证当前程序运行是否满足指定的参数化性质规约.在该过程中,参数化监控器能够精确地识别被验证性质的最小好/坏前缀.

Construction Techniques of Anticipatory Monitors for Parameterized LTL

This paper presents a method of constructing anticipatory monitors for P_ALTL (parameterized LTL (linear temporal logic)) based on automata theory. This paper on one hand investigates into the important concepts about the syntax, anticipatory semantics, valuation generation and binding of P_ALTL. It is assured that the binding and using are correct in syntax level. Then the concept of parameterized anticipatory monitor is presented consisting of the static part and the dynamic part. The static part is presented as parameterized Büchi automata, and the dynamic part is composed of the valuations of variables in the current state. While the system running, based on the static parameterized Büchi automata, the valuations of variables are dynamically generated and bound from the current state in an on-the-fly fashion, and the anticipatory monitor incrementally checks whether the current running system is satisfied with the given parameterized property. In this process, the parameterized monitor can precisely identify the minimal good/bad prefix of the monitored property.