Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/1161
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dc.contributor.authorSeung Yeob Han
dc.contributor.authorZhemei Fang
dc.contributor.authorDaniel DeLaurentis
dc.date.accessioned2020-03-16T17:50:36Z-
dc.date.available2020-03-16T17:50:36Z-
dc.date.issued2012-04-30
dc.identifier.citationPublished--Unlimited Distribution
dc.identifier.urihttps://dair.nps.edu/handle/123456789/1161-
dc.descriptionAcquisition Management / Defense Acquisition Community Contributor
dc.description.abstractThe complex interdependencies between systems organized for a system-of-systems (SoS) capability pose a challenge to effective acquisition management of SoS assets. In general, methodologies to assess risk that cascades through interdependencies are critical to effectively analyzing alternatives in a capability-based acquisition strategy. A particular problem occurs in cases where requirements on systems are evolving. In this paper, a Bayesian Network (BN) method is presented, which models requirement evolution in the midst of system interdependencies. The method analyzes the cascading effects of requirement and systems interdependencies on risk. A primary output of the approach is the identification of both critical systems and requirements. A synthetic problem is solved to demonstrate the proposed method.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesSystem-of-Systems
dc.relation.ispartofseriesSYM-AM-12-058
dc.subjectInterdependency
dc.subjectSystem of Systems
dc.subjectRequirement Evolution
dc.subjectRisk
dc.titleAcquisition Management for System-of-Systems: Requirement Evolution and Acquisition Strategy Planning
dc.typeArticle
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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