Unifying frameworks for complete test strategies

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Science of Computer Programming Pub Date : 2024-04-26 DOI:10.1016/j.scico.2024.103135
Robert Sachtleben
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Abstract

The field of model-based testing has witnessed the development of several test strategies on finite state machines. Although these strategies are often related, little effort has been made to explicitly identify patterns shared between them, and their concrete implementations as well as completeness proofs regularly exhibit redundancy. In this paper, we propose an approach for the systematic verification and implementation of strategies for the language-equivalence conformance relation. We present frameworks in the form of higher order functions that implement shared behaviour once and encapsulate diverging behaviour in procedural parameters, thus reducing duplication and improving maintainability and extensibility. We show that this simplifies completeness proofs by proving complete all considered strategies using the same argument. All presented frameworks, proofs, and concrete strategy implementations have been mechanised using the proof assistant Isabelle.

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完整测试策略的统一框架
在基于模型的测试领域,已经开发出了多种有限状态机测试策略。虽然这些策略往往相互关联,但很少有人努力明确识别它们之间共享的模式,而且它们的具体实现和完备性证明经常出现冗余。在本文中,我们提出了一种系统验证和实现语言等价一致性关系策略的方法。我们提出了高阶函数形式的框架,只需实现一次共享行为,并将不同行为封装在程序参数中,从而减少重复,提高可维护性和可扩展性。我们证明,通过使用相同的论据证明所有考虑到的策略都是完整的,从而简化了完备性证明。所有介绍的框架、证明和具体策略实现都是通过证明助手 Isabelle 实现的。
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来源期刊
Science of Computer Programming
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
76
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.
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