Difference between revisions of "Representing Systems with Models"

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* [[System Modeling Concepts]]
 
* [[System Modeling Concepts]]
 
* [[Modeling Standards]]
 
* [[Modeling Standards]]
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* [[Model-Based Authoring of Standards and Other Technical Documents]]
  
 
==References==
 
==References==

Revision as of 21:07, 16 March 2013

<html> <meta name="citation_title" content="Representing Systems with Models"> <meta name="citation_author" content="Pyster, Art"> <meta name="citation_author" content="Olwell, David H."> <meta name="citation_author" content="Hutchison, Nicole"> <meta name="citation_author" content="Enck, Stephanie"> <meta name="citation_author" content="Anthony, James F., Jr."> <meta name="citation_author" content="Henry, Devanandham"> <meta name="citation_author" content="Squires, Alice (eds)"> <meta name="citation_publication_date" content="2012/11/30"> <meta name="citation_journal_title" content="Guide to the Systems Engineering Body of Knowledge (SEBoK)"> <meta name="citation_volume" content="version 1.0.1"> <meta name="citation_pdf_url" content="http://www.sebokwiki.org/1.0.1/index.php?title=Main_Page"></html> A model is an abstraction of a system that offers insight about one or more of the the system's aspects, such as its function, behavior, structure, properties, or cost.

Modeling is a common practice that is shared by most engineering disciplines, such as 1.) electrical engineering, which uses electrical circuit design models, 2.) mechanical engineering, which uses three-dimensional computer-aided design models, and 3.) software engineering, which uses software design models. Each of these disciplines has their own language, with its syntax and semantics, serving as a means of communication among professionals in that discipline. Analytic models are used to support power, thermal, structural, and embedded real-time analysis.

Modeling of systems as holistic, value-providing entities, has been gaining recognition as a central process of systems engineering. Modeling serves to make concepts concrete and formal, enhance quality, productivity, documentation, and innovation, as well as reduce the cost and risk of systems development. Different types of models may be needed to represent systems in support of the analysis, specification, design, and verification of systems. This knowledge area provides an overview of models used to represent different aspects of systems.

Topics

Each part of the Guide to the Systems Engineering Body of Knowledge (SEBoK) is divided into knowledge areas (KAs), which are groupings of information with a related theme. The KAs in turn are divided into topics. This KA contains the following topics:

References

Works Cited

None.

Primary References

Dori, D. 2002. Object-Process Methodology – A Holistic Systems Paradigm. Berlin, Germany: Springer Verlag.

Estefan, J. 2008. A Survey of Model-Based Systems Engineering (MBSE) Methodologies, rev, B. Seattle, WA: International Council on Systems Engineering. INCOSE-TD-2007-003-02. Available at http://www.incose.org/ProductsPubs/pdf/techdata/MTTC/MBSE_Methodology_Survey_2008-0610_RevB-JAE2.pdf.

Friedenthal, S., A. Moore, and R. Steiner. 2009. "Chapter 2". A Practical Guide to SysML: The Systems Modeling Language. Needham, MA, USA: OMG Press.

Guizzardi, G. 2007. On Ontology, Ontologies, Conceptualizations, Modeling Languages, and (Meta)Models. Proceedings of the Databases and Information Systems IV Conference, Amsterdam, Netherlands. Available at http://portal.acm.org/citation.cfm?id=1565425.

INCOSE. 2007. Systems Engineering Vision 2020. Seattle, WA, USA: International Council on Systems Engineering. September 2007. INCOSE-TP-2004-004-02. Available at http://www.incose.org/ProductsPubs/products/sevision2020.aspx.

Wymore, A.W. 1993. Model-Based Systems Engineering. Boca Raton, FL, USA: CRC Press, Inc.

Additional References

Holt, Jon, and Simon Perry. 2008. SysML for systems engineering. Stevenage: Institution of Engineering and Technology. http://site.ebrary.com/id/10263845.

Grobshtein, Y. and Dori, D. Generating SysML Views from an OPM Model: Design and Evaluation. Systems Engineering, 14 (3), Sept. 2011.


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