Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/1577
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Ronald Giachetti | |
dc.contributor.author | Mollie McGuire | |
dc.contributor.author | Karen Holness | |
dc.date.accessioned | 2020-03-16T17:59:35Z | - |
dc.date.available | 2020-03-16T17:59:35Z | - |
dc.date.issued | 2018-04-30 | |
dc.identifier.citation | Published--Unlimited Distribution | |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/1577 | - |
dc.description | Acquisition Management / Defense Acquisition Community Contributor | |
dc.description.abstract | The Department of Defense is adopting model-based systems engineering in which models will replace the extensive amounts of documentation generated in developing a new system. This research examines how this shift from textual description of the system and its requirements to a model-based description will affect the acquisition process. Specifically, we ask whether engineers and other stakeholders will be able to extract the same understanding of the system requirements from the models as they can from the traditional textual requirements specifications. We propose a theory called Model Relativity Theory, saying that the language used to represent and communicate system design and requirements influences how people think about the system. In this presentation, we describe the theory, present our exploratory research studies, discuss our research protocol, describe the research plan, and present the current status of our study. | |
dc.description.sponsorship | Acquisition Research Program | |
dc.language | English (United States) | |
dc.publisher | Acquisition Research Program | |
dc.relation.ispartofseries | Systems Engineering | |
dc.relation.ispartofseries | SYM-AM-18-064 | |
dc.subject | Model-Based Systems Engineering | |
dc.subject | Systems | |
dc.subject | System Requirements | |
dc.subject | Specifications | |
dc.title | Testing Whether the Adoption of Model-Based Systems Engineering Influences How Stakeholders Think About Systems | |
dc.type | Article | |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Size | Format | |
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SYM-AM-18-064.pdf | 528.12 kB | Adobe PDF | View/Open |
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