JOURNAL ARTICLE

Modeling with SysML

Sanford FriedenthalJoseph A. Wolfrom

Year: 2010 Journal:   INCOSE International Symposium Vol: 20 (1)Pages: 1847-1995   Publisher: Wiley

Abstract

Abstract The OMG Systems Modeling Language (OMG SysML™) is a general‐purpose, graphical, modeling language for specifying, analyzing, designing, and verifying complex systems that may include hardware, software, information, personnel, procedures, and facilities. In particular, it provides graphical representations with a semantic foundation for modeling system requirements, behavior, structure, and parametric equations that can integrate with a broad range of engineering analysis. SysML represents a subset of UML 2.0 with extensions to satisfy the requirements of the UML™ for Systems Engineering RFP. The OMG SysML™ Specification was adopted in May 2006. For more information on SysML, including articles, tool vendor and related links, and the specification, go to http://www.omgsysml.org/ . This tutorial provides an introduction to how SysML can address your systems engineering needs, including: background and motivation, an overview of the SysML diagram types and language concepts, a demonstration of how the language can be used throughout a Model‐based Systems Engineering (MBSE) process. A class exercise is included to help solidify the student's understanding of the language. The course will also include a brief introduction to a typical SysML tool. Attendees should gain appreciation of the value of model‐based Systems Engineering versus legacy, document‐centric methods; awareness of the graphical notation; and a high level understanding of when and how a Systems Engineer can exploit the various diagrams and models as part of their systems engineering process.

Keywords:
Systems Modeling Language Computer science Unified Modeling Language Software engineering Modeling language Class diagram UML tool Applications of UML Systems engineering Programming language Software Engineering

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Citation History

Topics

Systems Engineering Methodologies and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Model-Driven Software Engineering Techniques
Physical Sciences →  Computer Science →  Software
Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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