即使使用对停顿敏感的 LTL，也能利用结构缩减的模型检查器

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Science of Computer Programming Pub Date : 2024-02-06 DOI:10.1016/j.scico.2024.103089

Yann Thierry-Mieg , Etienne Renault , Emmanuel Paviot-Adet , Denis Poitrenaud

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引用次数: 0

摘要

在 [1] 中，我们提出使用细粒度分析来验证 LTL 特性，将公式分为四类（顿挫、缩短、延长不敏感或都不敏感）。通过这种分类，我们将结构还原法的适用范围扩展到了两类新公式，而经典技术只适用于对顿挫不敏感的公式。在本文中，我们介绍了这种方法的实现，它是对 ITS-Tools 模型检查器的扩展，依赖 Spot 库来分析自动机。这种新方法极大地改进了 ITS-Tools 模型检查器在验证对停顿不敏感的属性时的性能。它也可用作任何其他模型检查程序的前端简化步骤。

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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A model-checker exploiting structural reductions even with stutter sensitive LTL

In [1] we proposed to verify LTL properties using a fine grain analysis classifying formulae into four classes (stutter, shortening, lengthening insensitive or none of these). With this classification we extend the applicability of structural reduction to two new classes of formulas, when classical techniques are only applicable for stutter insensitive formulas. This comes at the price of a semi-decision procedure where only some verdicts are reliable.

In this paper, we present an implementation of this approach, built as an extension to the ITS-Tools model-checker that relies on the Spot library to analyze automata. This new approach significantly improves the ITS-tools model-checker when verifying properties that are not stutter insensitive. It can also be used as a front-end simplification step for any other model-checker.

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来源期刊

Science of Computer Programming 工程技术-计算机：软件工程

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

67 days

期刊介绍： Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.