Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/2434
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dc.contributor.authorKarl D. Pfeiffer
dc.contributor.authorValery A. Kanevsky
dc.contributor.authorThomas J. Housel
dc.date.accessioned2020-03-16T18:17:45Z-
dc.date.available2020-03-16T18:17:45Z-
dc.date.issued2009-07-01
dc.identifier.citationPublished--Unlimited Distribution
dc.identifier.urihttps://dair.nps.edu/handle/123456789/2434-
dc.descriptionAcquisition Management / NPS Faculty Research
dc.description.abstractIn the acquisition or management of complex systems, testing is the means by which we trade budget or schedule for information about the likelihood our system will work correctly under operational load. Branch paths in hardware and software increase as a function of the number of components and interconnections, leading to exponential growth in the number of test cases required for exhaustive examination, or perfect knowledge, of a complex system. In practice, the typical cost for testing in schedule or in budget means that only a small fraction of these paths are investigated. In this work, we develop an abstract model to describe system testing and the information return (or reduction in risk) for the attendant cost in time and money. This model is supported by a mathematical analysis suitable for Monte Carlo simulation. The long-term goal of this modeling work is to construct a decision-support tool for the Navy Program Executive Office Integrated Warfare Systems (PEO IWS) offering quantitative information about cost versus diagnostic certainty in system testing.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesRisk Analysis
dc.relation.ispartofseriesNPS-AM-09-114
dc.subjectDiagnostic Testing
dc.subjectRegression Testing
dc.subjectAutomated Testing
dc.subjectMonte Carlo Simulation
dc.subjectSequential Bayesian Inference
dc.titleReducing the Cost of Risk-based Testing: Management of Testing Options to Manage Risk in Test and Evaluation
dc.typeTechnical Report
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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