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Verification & Validation: Goals, Methods, Levels, and Metrics

Roger Logan,Cynthia Nitta-2003-04-29-University of North Texas Digital Library (University of North Texas)

TL;DRAbstract

This work briefly summarizes the current status of the V and V Program at LLNL regarding goals, methods, timelines, and issues for Verification and Validation (V and V) with Uncertainty Quantification (UQ). The goals are to evaluate various V and V methods, to apply them to computational simulation analyses, and integrate them into methods for Quantitative Certification techniques for the nuclear stockpile. Methods include qualitative and quantitative V and V processes with numerical values for both (qualitative) V and V Level, and (quantitative) validation statements with confidence-bounded uncertainty bands. They describe the critical nature of high quality analyses with quantified V and V, and the essential role of V and V and UQ at specified Confidence levels in evaluating system certification status. Only with quantitative validation statements can rational tradeoffs of various scenarios be made.

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This work briefly summarizes the current status of the V and V Program at LLNL regarding goals, methods, timelines, and issues for Verification and Validation (V and V) with Uncertainty Quantification (UQ). The goals are to evaluate various V and V methods, to apply them to computational simulation analyses, and integrate them into methods for Quantitative Certification techniques for the nuclear stockpile. Methods include qualitative and quantitative V and V processes with numerical values for both (qualitative) V and V Level, and (quantitative) validation statements with confidence-bounded uncertainty bands. They describe the critical nature of high quality analyses with quantified V and V, and the essential role of V and V and UQ at specified Confidence levels in evaluating system certification status. Only with quantitative validation statements can rational tradeoffs of various scenarios be made.

Keywords

Computer scienceCertificationTimelineVerification and validationUncertainty quantificationData miningManagement scienceReliability engineering

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