计算机科学
系统建模语言
展开图
统一建模语言
软件工程
成熟度(心理)
分类学(生物学)
系统工程
工程管理
程序设计语言
软件
工程类
人工智能
心理学
发展心理学
植物
生物
作者
Pierre de Saqui‐Sannes,Rob Vingerhoeds,Christophe Garion,Xavier Thirioux
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:10: 120936-120950
被引量:13
标识
DOI:10.1109/access.2022.3222387
摘要
Systems engineering has gained in maturity over the last decades and started a transition from document-centric approaches to Model-Based Systems Engineering (MBSE). Several papers have discussed the benefits and potential, but also the limitations, of using MBSE, based on literature surveys and analyze feedback from academia and industry. The current paper explores a complementary avenue and aims at giving students and industry practitioners a set of keys and decision criteria to select MBSE languages, tools and methods. Languages, tools and methods are categorised and selection criteria are proposed for a panorama of languages that goes beyond SysML and other techniques commonly associated with MBSE. In addition, research avenues for the future of MBSE are identified. The discussion relies on the authors’ experience in teaching and using system engineering and MBSE in both academia and industry, as well as on the experience shared within the framework of Concorde, a French project dedicated to drone systems design methodologies.
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