An observed increase in systems scale and complexity has led to a significant momentum in exploring, identifying, and adopting model based systems engineering (MBSE) tools and techniques amongst research communities and industry practitioners. Several attempts to transform systems design and engineering practices through the use of MBSE in academia and industry has led to a considerable increase in the number of articles published containing the keyword “MBSE.” This growth serves as the motivation in this paper to explore the MBSE landscape with the help of text mining techniques to identify the most often used key terms, tools, and languages, in the context of research in MBSE and the thematic aspects defining the use of MBSE by researchers and practitioners. The objective of this paper is to provide a structured comprehensive overview of research contributions across the MBSE landscape by employing text mining techniques for: (a) identifying the concepts and methodologies inferred upon in relation to MBSE, and (b) classifying the literature published to identify commonalities across academic researchers and practitioners using MBSE tools and methods. For this purpose, the abstracts of 2380 relevant articles published in the period of the last two decades from five different databases are mined. It is found that the terms “SysML,” “Cyber Physical Systems,” and “Production” are the most used terms among researchers across the MBSE landscape with SysML being the most widely used modeling language. Further, six major thematic topics are identified that classify articles from over the last two decades with an increasing interest observed in the use of MBSE to support manufacturing and production engineering activities, especially in the cyber physical systems domain. The contributions of this paper provide a leeway on using text mining techniques to understand the research directions that are currently of interest in the field of MBSE and thereby identify potential future research directions.

中文翻译：

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基于模型的系统工程——基于文本挖掘的结构化综合概述

观察到的系统规模和复杂性的增加导致研究社区和行业从业者探索、识别和采用基于模型的系统工程 (MBSE) 工具和技术的显着势头。通过在学术界和工业界使用 MBSE 来改变系统设计和工程实践的几次尝试导致发表的包含关键字“MBSE”的文章数量显着增加。这种增长是本文的动机，在 MBSE 研究和定义使用的主题方面，借助文本挖掘技术来确定最常用的关键术语、工具和语言，探索 MBSE 格局研究人员和从业人员的 MBSE。本文的目的是通过采用文本挖掘技术对 MBSE 领域的研究贡献提供结构化的全面概述：(a) 确定与 MBSE 相关的概念和推断方法，以及 (b) 对已发表的文献进行分类使用 MBSE 工具和方法确定学术研究人员和从业人员的共性。为此，从五个不同的数据库中挖掘了过去 20 年间发表的 2380 篇相关文章的摘要。结果表明，术语“SysML”、“网络物理系统”和“生产”是 MBSE 领域研究人员最常用的术语，其中 SysML 是使用最广泛的建模语言。更远，确定了六个主要主题，对过去二十年的文章进行分类，观察到对使用 MBSE 支持制造和生产工程活动的兴趣越来越大，尤其是在网络物理系统领域。本文的贡献为使用文本挖掘技术了解当前 MBSE 领域感兴趣的研究方向提供了余地，从而确定潜在的未来研究方向。