Difference between revisions of "Representing Systems with Models"

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A [[Model (glossary)|model (glossary)]] is an abstraction of a system that offers insight into that system's properties, such as behavior, appearance, or cost. Modeling is a common practice that is shared by most engineering disciplines and includes electrical circuit design models, three-dimensional computer-aided design models, software design models, and analytical models used to support power, thermal, structural, and embedded real-time analysis. Modeling systems are becoming increasingly important to the practice of [[Systems Engineering (glossary)|systems engineering (glossary)]] as a means to enhance quality, productivity, and innovation, as well as reduce the cost and risk of [[Systems Development (glossary)| systems development]]. Different types of models are 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.
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A [[Model (glossary)|model (glossary)]] is an abstraction of a system that offers insight about the system, such as it's behavior, structure, properties or cost. Modeling is a common practice that is shared by most engineering disciplines and includes electrical circuit design models, three-dimensional computer-aided design models, software design models, and analytical models used to support power, thermal, structural, and embedded real-time analysis. Modeling systems are becoming increasingly important to the practice of [[Systems Engineering (glossary)|systems engineering (glossary)]] as a means to enhance quality, productivity, and innovation, as well as reduce the cost and risk of [[Systems Development (glossary)| systems development]]. Different types of models are 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.
  
 
To download a PDF of all of Part 2 (including this knowledge area), please [http://www.sebokwiki.org/075/images/7/7e/SEBoK075_Part2.pdf click here].
 
To download a PDF of all of Part 2 (including this knowledge area), please [http://www.sebokwiki.org/075/images/7/7e/SEBoK075_Part2.pdf click here].

Revision as of 07:01, 5 July 2012

A model is an abstraction of a system that offers insight about the system, such as it's behavior, structure, properties or cost. Modeling is a common practice that is shared by most engineering disciplines and includes electrical circuit design models, three-dimensional computer-aided design models, software design models, and analytical models used to support power, thermal, structural, and embedded real-time analysis. Modeling systems are becoming increasingly important to the practice of systems engineering as a means to enhance quality, productivity, and innovation, as well as reduce the cost and risk of systems development. Different types of models are 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.

To download a PDF of all of Part 2 (including this knowledge area), please click here.

Topics

The topics contained within this knowledge area include:

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

No additional references have been identified for version 0.75. Please provide any recommendations on additional references in your review.


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