基于有色Petri网的并行软件粗粒度自动建模

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
IET Software Pub Date : 2022-12-30 DOI:10.1049/sfw2.12084
Wenjie Zhong, Jian-tao Zhou, Tao Sun
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引用次数: 0

摘要

状态空间爆炸限制了并发软件的错误检测。抽象可以提供避免状态空间爆炸的解决方案,但很容易忽略重要细节,导致检测结果不准确。本文提出了一种Java源程序的粗粒度自动建模方法。根据属性未检查、非交互式和不相关语句的执行细节不影响模型检查结果的原则,我们为此类语句建模粗粒度的模型片段,而为属性已检查、交互式和相关语句建模细粒度的模型片段。我们的方法减少了模型和状态空间,并确保了基于模型检查的源程序的错误检测。此外,我们还证明了细粒度模型、粗粒度模型和程序的等价性。最后,通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Concurrent software fine-coarse-grained automatic modelling by Coloured Petri Nets for model checking

Concurrent software fine-coarse-grained automatic modelling by Coloured Petri Nets for model checking

The state space explosion restricts the error detection of concurrent software. The abstraction can provide a solution to avoid state space explosion, but it is easy to ignore important details, resulting in inaccurate detection results. This paper proposes a methodology of fine-coarse-grained automatic modelling for Java source programs. By the principle that the execution details of property-unchecked, non-interactive, and unrelated statements do not affect the model checking results, we model coarse-grained model fragments for such statements, while fine-grained model fragments for property-checked, interactive, and related statements. Our method reduces the model and state space and ensures the error detection of the source program based on model checking. Moreover, we prove the equivalence of the fine-grained model, the coarse-grained model, and the program. Finally, this paper gives an experiment to verify the effectiveness of the proposed method.

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来源期刊
IET Software
IET Software 工程技术-计算机:软件工程
CiteScore
4.20
自引率
0.00%
发文量
27
审稿时长
9 months
期刊介绍: IET Software publishes papers on all aspects of the software lifecycle, including design, development, implementation and maintenance. The focus of the journal is on the methods used to develop and maintain software, and their practical application. Authors are especially encouraged to submit papers on the following topics, although papers on all aspects of software engineering are welcome: Software and systems requirements engineering Formal methods, design methods, practice and experience Software architecture, aspect and object orientation, reuse and re-engineering Testing, verification and validation techniques Software dependability and measurement Human systems engineering and human-computer interaction Knowledge engineering; expert and knowledge-based systems, intelligent agents Information systems engineering Application of software engineering in industry and commerce Software engineering technology transfer Management of software development Theoretical aspects of software development Machine learning Big data and big code Cloud computing Current Special Issue. Call for papers: Knowledge Discovery for Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_KDSD.pdf Big Data Analytics for Sustainable Software Development - https://digital-library.theiet.org/files/IET_SEN_CFP_BDASSD.pdf
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