VV&A-1 VV&A Breakout Session Simone Youngblood The Johns Hopkins University Applied Physics Lab

VV&A-2 VV&A Issues Need to have graduated basis for assessing rigor (maturity) of VV&A process –How do I improve my process? –What level of confidence can I expect based on what I applied? Need to be able to address how you deal with (validate) M&S of future representations without a strong referent –How do we deal with intangibles, e.g. human behavior, future predictions, Agent based simulations? Need more precise mathematical descriptors of the RAM-C KPPs –Without descriptions, we cannot determine how to measure, therefore, we cannot validate or describe intended uses Need timely access to quality data –Impacts results Need to resolve logical consistency for integration –Without logical consistency makes substantive interoperability impossible Need documentation that keeps pace with development/modification and VV&A –In early phases feeds downstream use and assessment

VV&A-3 Governance & Policy Issues Guidance that mirrors policy Ease of use and access –Practical examples, capturing lessons learned –VV&A histories to include both commercial and government –Standards, e.g. MILSTD3022 Policy incentives to encourage critical factors –Efficient and effective implementation –Cost Savings –Training and education DoD level VV&A working group