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dc.contributor.authorRicardo Valerdi
dc.identifier.citationPublished--Unlimited Distribution
dc.descriptionTest and Evaluation (T&E) / Grant-funded Research
dc.description.abstractThis report outlines a procedure and algorithm to optimize the potential knowledge gained about a complex system when performing robustness testing and faced with a set of constraints. In particular, this project was catalyzed by the need to put a value on testing. Included with this project report is a proof of concept created in MS Excel utilizing its VBA developer tool. In short, a test network is created by establishing test relationships and then assigning each an expected knowledge value. With these values and an understanding about the relationships between the tests, an optimization about the total potential knowledge of the system can b e acquired while minimizing testing costs and/or effort.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesTest and Evaluation (T&E)
dc.subjectBig Data
dc.subjectContractor Performance
dc.titleMaking Big Data, Safe Data: A Test Optimization Approach
dc.typeTechnical Report
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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