时序描述逻辑的结构化反例

Franz Weitl, S. Nakajima, B. Freitag
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引用次数: 7

摘要

针对时序描述逻辑ALCCTL,提出了一种新的反例生成算法。ALCCTL是描述逻辑ALC和计算树逻辑CTL的可决定组合。它通过一元和二元谓词上的一阶量化表达式扩展了CTL。谓词和量化表达式是表示应用领域(如结构化web文档)中的属性所必需的,它们经常用于通过模型检查验证的软件和硬件规范。在违反规范的情况下,如果规范涵盖了一组对象,则现有算法生成的反例往往是复杂而不精确的。所提出的算法是为考虑一阶谓词和量化的时间描述逻辑生成反例的第一个算法。该算法对于ALCCTL来说是健全的、半完备的。生成的反例比以前算法生成的反例更精确,更容易理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structured Counterexamples for the Temporal Description Logic ALCCTL
A new algorithm for generating counterexamples for the temporal description logic ALCCTL is presented. ALCCTL is a decidable combination of the description logic ALC and computation tree logic CTL. It extends CTL by first order quantified expressions over unary and binary predicates. Predicates and quantified expressions are required for representing properties in application domains such as structured web documents and they are frequently used in software and hardware specifications which are verified by model checking. In the case of a specification violation, existing algorithms generate counterexamples that tend to be complex yet imprecise if specifications range over sets of objects. The presented algorithm is the first algorithm for generating counterexamples for a temporal description logic that considers first order predicates and quantification. The algorithm is sound and semi-complete for ALCCTL. The generated counterexamples are both more precise and comprehensible than counterexamples generated by the previous algorithms.
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