Toward automated verification of timed business process models using timed-automata networks and temporal properties

IF 6.8 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Sciences Pub Date : 2025-08-01 Epub Date: 2025-03-17 DOI:10.1016/j.ins.2025.122088
Chanon Dechsupa, Wiwat Vatanawood, Arthit Thongtak
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Abstract

This paper addresses the challenges in verifying the correctness and effectiveness of business process models with time constraints by introducing an automated approach that combines formal model abstraction with Time Computation Tree Logic (TCTL) property expression. The proposed framework transforms BPMN models into UPPAAL timed-automata networks, utilizing structural process block patterns to generate TCTL property expressions for verification. Key innovations include automated transformation and verification processes that significantly reduce time and effort compared to traditional methods. The transformation rules and generated TCTL properties are comprehensively tested, and the correctness and effectiveness of the derived UPPAAL constructs are validated through extensive simulations and real-world case studies in the UPPAAL-TIGA environment. Results demonstrate the practical applicability of this approach, with substantial improvements in verification efficiency and accuracy and a notable reduction in the time needed for model abstraction and TCTL property expression. The framework includes rules for transforming block timed BPMN models into UPPAAL and logic for automatically generating temporal properties, highlighting its potential to enhance business process modeling and verification practices.
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朝着使用时间自动机网络和时间属性自动验证时间业务流程模型的方向发展
本文通过引入一种将正式模型抽象与时间计算树逻辑(TCTL)属性表达式相结合的自动化方法,解决了在验证具有时间约束的业务流程模型的正确性和有效性方面的挑战。该框架将BPMN模型转换为UPPAAL时间自动机网络,利用结构化过程块模式生成TCTL属性表达式进行验证。关键的创新包括自动化转换和验证过程,与传统方法相比,它们显著减少了时间和精力。全面测试了转换规则和生成的TCTL属性,并通过UPPAAL- tiga环境中的大量仿真和实际案例研究验证了派生的UPPAAL结构的正确性和有效性。结果表明了该方法的实用性,在验证效率和准确性方面有了很大的提高,并且显著减少了模型抽象和TCTL属性表达所需的时间。该框架包括用于将块定时BPMN模型转换为UPPAAL的规则,以及用于自动生成时间属性的逻辑,突出了其增强业务流程建模和验证实践的潜力。
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来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
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