软件工程中抽象测试生成的彩色Petri网

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Software Testing Verification & Reliability Pub Date : 2022-12-20 DOI:10.1002/stvr.1837
Álvaro Sobrinho, Ially Almeida, Leandro Dias da Silva, L. C. E. Silva, Adriano Araújo, Tássio Fernandes Costa, A. Perkusich
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引用次数: 0

摘要

基于模型的测试(MBT)依赖于系统行为模型来生成抽象测试。测试人员可以使用MBT重用正式模型,以增加对关键系统(例如,医疗和航空电子系统)的信心。在这篇文章中,我们研究了当前CPN的抽象测试生成方法,为需要在使用CPN应用MBT时选择合适的方法的测试人员提供见解。我们进行了系统的文献综述,以调查现有的抽象测试生成方法设计的CPN。随后,针对具体实现和优缺点,我们在实证分析中对医疗系统的形式化模型进行了实验,以改进对现有CPN抽象测试生成方法的讨论。我们的研究表明,CPN可以快速提供可靠的测试,具体取决于所采用的抽象测试生成方法。
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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Coloured Petri nets for abstract test generation in software engineering
Model‐based testing (MBT) relies on models of the system's behaviour to generate abstract tests. Testers can reuse formal models using MBT to increase confidence in critical systems (e.g., medical and avionic systems). In this article, we investigate the current abstract test generation approaches for CPN to provide insights for testers who need to select a suitable one when applying the MBT using CPN. We conduct a systematic literature review to investigate the existing abstract test generation approaches designed for CPN. Subsequently, focusing on specific implementations and advantages/disadvantages, we experiment with formal models of medical systems during our empirical analysis to improve the discussion on existing abstract test generation approaches for CPN. Our study shows that CPN provides reliable tests quickly, depending on the abstract test generation approach applied.
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来源期刊
Software Testing Verification & Reliability
Software Testing Verification & Reliability 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
34
审稿时长
>12 weeks
期刊介绍: The journal is the premier outlet for research results on the subjects of testing, verification and reliability. Readers will find useful research on issues pertaining to building better software and evaluating it. The journal is unique in its emphasis on theoretical foundations and applications to real-world software development. The balance of theory, empirical work, and practical applications provide readers with better techniques for testing, verifying and improving the reliability of software. The journal targets researchers, practitioners, educators and students that have a vested interest in results generated by high-quality testing, verification and reliability modeling and evaluation of software. Topics of special interest include, but are not limited to: -New criteria for software testing and verification -Application of existing software testing and verification techniques to new types of software, including web applications, web services, embedded software, aspect-oriented software, and software architectures -Model based testing -Formal verification techniques such as model-checking -Comparison of testing and verification techniques -Measurement of and metrics for testing, verification and reliability -Industrial experience with cutting edge techniques -Descriptions and evaluations of commercial and open-source software testing tools -Reliability modeling, measurement and application -Testing and verification of software security -Automated test data generation -Process issues and methods -Non-functional testing
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