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dc.contributor.authorOlagbemiro, Albert
dc.contributor.authorShing, Man-Tak
dc.contributor.authorMun, Johnathan
dc.date01-Apr-09
dc.date.accessioned2013-05-08T21:18:04Z
dc.date.available2013-05-08T21:18:04Z
dc.date.issued2009-04-01
dc.identifier.urihttp://hdl.handle.net/10945/33388
dc.descriptionProceedings Paper (for Acquisition Research Program)en_US
dc.description.abstractIn the Department of Defense (DoD), the typical outcome of a software acquisition program has been massive cost escalation, slipping planned delivery dates and making major cuts in the planned software functionality to guarantee program success. To counter this dilemma, the DoD put forth a new weapons acquisition policy in 2003 based on an evolutionary acquisition approach to foster increased efficiency while building flexibility in the acquisition process. However, the evolutionary acquisition approach often relies on the spiral development process, which assumes end-state requirements are known at the inception of the development process, a misrepresentation of reality in the acquisition of DoD software-intensive weapons systems. This article presents a framework to address requirements uncertainty as it relates to software acquisition. The framework is based on Real Options theory and aims at mitigating risks associated with requirement volatility based on the technology objectives''constraints as put forth by the customer at the acquisition decision-making level.en_US
dc.description.sponsorshipNaval Postgraduate School Acquisition Research Programen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleApplication of Real Options Theory to Software-intensive System Acquisitionsen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentAcquisition Management
dc.contributor.departmentNPS Faculty
dc.subject.authorReal Options Theoryen_US
dc.subject.authorReal Options Theory, Software-intensive Systems, Requirements Uncertaintyen_US
dc.identifier.npsreportNPS-AM-09-042
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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