Summary Validation can be hard, but doesn't have to be too hard Design M&S validation program around intended uses Figure out when to stop before you start Use sensitivity analyses to help determine accuracy requirements Use statistical techniques where they make sense Often the best use is to evaluate adequacy of collected test data Cover the domain of interest Use SME review of sensitivity analyses, available test data and benchmarking against accepted M&S to expand scope of range data collection Recognize that validation is really a never-ending process Just stop when you can get off the validation ride with a supportable accreditation decision Maximize the quality of your range data Design test data collection plan around M&S validation requirements
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