基于实际模型检查经验的可视化属性规范语言评估

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Antti Pakonen , Igor Buzhinsky , Valeriy Vyatkin
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引用次数: 0

摘要

模型检查等形式化验证方法可以提供设计正确性的数学证明,因此在对安全性或可靠性要求较高的应用中使用这些方法是合理的。要更广泛地采用模型检查,一个关键的挑战是将功能要求形式化为可验证属性所需的工作量和专业知识。为工业仪器仪表和控制(I&C)逻辑指定形式化属性的一个特殊挑战是,要考虑到由被控制设备的动态行为等引起的排序和时序问题。在本文中,我们对不同的可视化属性规范语言进行了评估,这些语言旨在使形式化方法更易于使用。我们从核工业和轨道交通行业的实际模型检查项目中收集了 3923 个形式属性,并确定了最常出现的属性类型。基于样本数据、现实世界中的示例逻辑和我们的实践经验,我们确定了最适合我们特定工业 I&C 领域的用户友好型属性规范语言的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of visual property specification languages based on practical model-checking experience

Formal verification methods like model checking can provide mathematical proofs of design correctness, so their use is justified in applications where safety or reliability requirements are high. A key challenge for the wider adoption of model checking is the effort and expertise needed in formalizing functional requirements into verifiable properties. A particular challenge in specifying formal properties for industrial instrumentation and control (I&C) logics is accounting for the sequencing and timing issues that arise from, e.g., the dynamic behavior of the plant being controlled. In this paper, we evaluate different visual property specification languages that are aimed at making formal methods more accessible. We have collected 3923 formal properties from practical model checking projects in the nuclear and rail traffic industries and identified the most commonly occurring types of properties. Based on the sample data, a real-world example logic, and our practical experience, we identify requirements for a user-friendly property specification language most suited for our specific domain of industrial I&C.

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来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
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