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Fusing Quantitative Requirements Analysis with Model-based Systems EngineeringA vision is presented for fusing quantitative requirements analysis with model-based systems engineering. This vision draws upon and combines emergent themes in the engineering milieu. "Requirements engineering" provides means to explicitly represent requirements (both functional and non-functional) as constraints and preferences on acceptable solutions, and emphasizes early-lifecycle review, analysis and verification of design and development plans. "Design by shopping" emphasizes revealing the space of options available from which to choose (without presuming that all selection criteria have previously been elicited), and provides means to make understandable the range of choices and their ramifications. "Model-based engineering" emphasizes the goal of utilizing a formal representation of all aspects of system design, from development through operations, and provides powerful tool suites that support the practical application of these principles. A first step prototype towards this vision is described, embodying the key capabilities. Illustrations, implications, further challenges and opportunities are outlined.
Document ID
20070020015
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Cornford, Steven L.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Feather, Martin S.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Heron, Vance A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Jenkins, J. Steven
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 23, 2013
Publication Date
September 11, 2006
Subject Category
Systems Analysis And Operations Research
Meeting Information
Meeting: 14th IEEE International Requirements Engineering Conference
Location: Saint Paul, MN
Country: United States
Start Date: September 11, 2006
End Date: September 15, 2006
Distribution Limits
Public
Copyright
Other
Keywords
optimization
requirements
systems engineering

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