基于可达性的定时自动机不精确观测包含性检查模型模板

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Software and Systems Modeling Pub Date : 2024-09-19 DOI:10.1007/s10270-024-01205-w
Sascha Lehmann, Sibylle Schupp
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引用次数: 0

摘要

在安全关键型应用中,通过模型检查验证安全要求变得越来越重要。在实践中,为了保证这种证明的有效性,模型需要捕捉真实系统的实际行为,这可以通过对真实观测轨迹进行包含性检查来测试。然而,如果系统只能部分或不精确地观测,如果模型抽象了具有符号语义的显式状态,或者如果检查无法用模型检查器支持的逻辑来表达,那么基本的等价性检查就不适用了。在本文中,我们通过对测试器系统进行可达性检查来解决定时自动机中的观察包含性检查问题。我们引入了逻辑 SRL(序列可达性逻辑),将观察结果表达为延迟可达性属性序列。通过 SBLL(由 Aceto 等人引入)作为中间逻辑,我们合成了一套用于部分和不精确观测的匹配器模型模板,并针对模型中有限状态可达性的情况进一步扩展了这些模板。对于获得的匹配迹线,我们定义了到原始模型域的反变换,并正式证明了变换的正确性。我们实施了观测匹配方法,并将其应用于一组 7 个演示模型和 3 个案例研究模型,这些模型具有不同程度的可观测性。结果表明,所有正负观测数据都能正确分类,而且除 3 种情况外,最先进的匹配器模型实例在所有情况下的平均运行时间仍在 0.1 至 1 秒之间。
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 template for reachability-based containment checking of imprecise observations in timed automata

Verifying safety requirements by model checking becomes increasingly important for safety-critical applications. For the validity of such proof in practice, the model needs to capture the actual behavior of the real system, which could be tested by containment checks of real observation traces. Basic equivalence checks, however, are not applicable if the system is only partially or imprecisely observable, if the model abstracts from explicit states with symbolic semantics, or if the checks are not expressible in the logics supported by a model checker. In this article, we solve the problem of observation containment checking in timed automata via reachability checking on tester systems. We introduce the logic SRL (sequence reachability logic) to express observations as sequences of delayed reachability properties. Through SBLL (introduced by Aceto et al.) as intermediate logic, we synthesize a set of matcher model templates for partial and imprecise observations and further extend these templates for the case of limited state accessibility in a model. For the obtained matching traces, we define the back-transformation into the original model domain and formally prove the correctness of the transformation. We implemented the observation matching approach, and apply it to a set of 7 demo and 3 case study models with different levels of observability. The results show that all positive and negative observations are correctly classified, and that the most advanced matcher model instance still offers average run times between 0.1 and 1 s in all but 3 scenarios.

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来源期刊
Software and Systems Modeling
Software and Systems Modeling 工程技术-计算机:软件工程
CiteScore
6.00
自引率
20.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices
期刊最新文献
A model template for reachability-based containment checking of imprecise observations in timed automata Supporting method engineering with a low-code approach: the LOMET  tool A system-theoretic assurance framework for safety-driven systems engineering IAT/ML: a metamodel and modelling approach for discourse analysis Universal conceptual modeling: principles, benefits, and an agenda for conceptual modeling research
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