Requirement Design for Software Configuration and System Modeling

IF 2 4区 计算机科学 Q2 Computer Science
W. Mehmood, A. Waheed Khan, W. Aslam, Shafiq Ahmad, Ahmed M. El-Sherbeeny, M. Shafiq
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引用次数: 0

Abstract

Software Configuration Management (SCM) aims to control the development of complex software systems. Traditional SCM systems treat text files as central artifacts, so they are mainly developed for source code. Such a system is not suitable for model-based software development with model-centric artifacts. When applying traditional systems to model-based software development, new challenges such as model mapping, differentiation, and merging arise. Many existing methods mainly use UML or domain-specific languages to determine model differences. However, as far as we know, there is no such technology for System Modeling Language (SysML) models. SysML covers the entire development life cycle of various complex systems, covering information, processes, hardware and software. SysML contains nine types of diagrams for system modeling. One of them is the SysML requirement diagram, which is used to capture the functional requirements of the system. We propose a differentiation method for the SysML demand model. We recommend to create a SysML requirement model in the CASE tool first, and then export the SysML model in the form of XMI. Then, we parse the XMI representation through difference calculations. Finally, we summarize the results in annotated form. We implemented our method in a satellite system case study and demonstrated the experimental use of the method.
软件配置与系统建模需求设计
软件配置管理(SCM)旨在控制复杂软件系统的开发。传统的SCM系统将文本文件视为中心工件,因此它们主要是针对源代码开发的。这样的系统不适合使用以模型为中心的工件进行基于模型的软件开发。当将传统系统应用于基于模型的软件开发时,会出现新的挑战,例如模型映射、区分和合并。许多现有的方法主要使用UML或特定于领域的语言来确定模型差异。然而,据我们所知,对于系统建模语言(SysML)模型还没有这样的技术。SysML涵盖了各种复杂系统的整个开发生命周期,涵盖了信息、过程、硬件和软件。SysML包含用于系统建模的九种类型的图。其中之一是SysML需求图,它用于捕获系统的功能需求。我们提出了一种SysML需求模型的微分方法。我们建议首先在CASE工具中创建一个SysML需求模型,然后以xml的形式导出SysML模型。然后,我们通过差值计算解析xml表示。最后,我们以注释的形式总结了结果。我们在一个卫星系统案例研究中实现了我们的方法,并演示了该方法的实验使用。
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来源期刊
Intelligent Automation and Soft Computing
Intelligent Automation and Soft Computing 工程技术-计算机:人工智能
CiteScore
3.50
自引率
10.00%
发文量
429
审稿时长
10.8 months
期刊介绍: An International Journal seeks to provide a common forum for the dissemination of accurate results about the world of intelligent automation, artificial intelligence, computer science, control, intelligent data science, modeling and systems engineering. It is intended that the articles published in the journal will encompass both the short and the long term effects of soft computing and other related fields such as robotics, control, computer, vision, speech recognition, pattern recognition, data mining, big data, data analytics, machine intelligence, cyber security and deep learning. It further hopes it will address the existing and emerging relationships between automation, systems engineering, system of systems engineering and soft computing. The journal will publish original and survey papers on artificial intelligence, intelligent automation and computer engineering with an emphasis on current and potential applications of soft computing. It will have a broad interest in all engineering disciplines, computer science, and related technological fields such as medicine, biology operations research, technology management, agriculture and information technology.
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