Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/1161
Title: Acquisition Management for System-of-Systems: Requirement Evolution and Acquisition Strategy Planning
Authors: Seung Yeob Han
Zhemei Fang
Daniel DeLaurentis
Keywords: Interdependency
System of Systems
Requirement Evolution
Risk
Issue Date: 30-Apr-2012
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: System-of-Systems
SYM-AM-12-058
Abstract: The 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.
Description: Acquisition Management / Defense Acquisition Community Contributor
URI: https://dair.nps.edu/handle/123456789/1161
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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