Model based systems engineering—A text mining based structured comprehensive overview
Model based systems engineering—A text mining based structured comprehensive overview
复制标题
DOI：
10.1002/sys.21601
复制
发表时间：
2021-09
影响因子：
2
通讯作者：
Aditya Akundi;Oscar Mondragon
中科院分区：
文献类型：
--
作者：
Aditya Akundi;Oscar Mondragon
所观察到的系统规模和复杂性的增加导致了研究社区和行业从业者在探索、识别和采用基于模型的系统工程（MBSE）工具和技术方面的巨大势头。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已经导致包含关键词“MBSE”的文章数量的显著增加。这种增长作为本文的动机，探讨MBSE景观的帮助下，文本挖掘技术，以确定最常用的关键术语，工具和语言，在MBSE的研究和主题方面定义使用MBSE的研究人员和从业人员的背景下。本文的目的是提供一个结构化的全面概述的MBSE景观的研究贡献，采用文本挖掘技术：（一）确定的概念和方法推断后，有关MBSE，和（B）分类出版的文献，以确定学术研究人员和从业人员使用MBSE工具和方法的共性。为此目的，2380相关文章的摘要发表在过去的二十年期间，从五个不同的数据库挖掘。研究发现，术语“SysML”、“网络物理系统”和“生产”是MBSE领域研究人员使用最多的术语，其中SysML是使用最广泛的建模语言。此外，六个主要的主题被确定，从过去的二十年中，观察到越来越多的兴趣MBSE的使用，以支持制造和生产工程活动，特别是在网络物理系统领域的文章进行分类。本文的贡献提供了一个回旋余地，使用文本挖掘技术来了解目前在MBSE领域感兴趣的研究方向，从而确定潜在的未来研究方向。
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.