Stop It, and Be Stubborn!

A. Valmari
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引用次数: 11

Abstract

A system is always may-terminating, if and only if from every reachable state, a terminal state is reachable. This publication argues that it is beneficial for both catching non-progress errors and stubborn, ample, and persistent set state space reduction to try to make verification models always may-terminating. An incorrect mutual exclusion algorithm is used as an example. The error does not manifest itself, unless the first action of the customers is modelled differently from other actions. An appropriate method is to add an alternative first action that models the customer stopping for good. This method typically makes the model always may-terminating. If the model is always may-terminating, then the basic strong stubborn set method preserves safety and some progress properties without any additional condition for solving the ignoring problem. Furthermore, whether the model is always may-terminating can be checked efficiently from the reduced state space.
别再这样了,要固执!
系统总是可能终止的,当且仅当从每个可达状态,一个终端状态是可达的。该出版物认为,尝试使验证模型总是可能终止的,这对于捕获非进度错误和顽固的、充足的和持久的集合状态空间缩减都是有益的。以一种错误的互斥算法为例。除非客户的第一个操作与其他操作的建模不同,否则错误不会显示出来。一个合适的方法是添加一个备选的第一个动作,为客户永久停止建模。这种方法通常使模型总是可能终止的。如果模型总是可能终止的,则基本的强顽固集方法在解决忽略问题时不附加任何条件的情况下保留了安全性和一些进度属性。此外,从简化的状态空间中可以有效地检验模型是否总是可能终止的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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