Methodology for designing M&S that integrates V&V processes and documentation

James N. Elele; Nancy Gould

doi:10.1117/12.921436

4 May 2012 Methodology for designing M&S that integrates V&V processes and documentation

James N. Elele, Nancy Gould

Proceedings Volume 8403, Modeling and Simulation for Defense Systems and Applications VII; 84030G (2012) https://doi.org/10.1117/12.921436
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

This paper presents a method that integrates Modeling and Simulation (M&S) Verification and Validation (V&V) as part of the M&S design. Experience indicates that in the past, very few models were developed with V&V as part of the design process. Formal V&V was usually done after the model had been released to the user community and was being used by major programs to support major decisions. This has changed in recent years as declining resources have resulted in a growing reliance on M&S. As awareness of the issues and the risks involved has increased, Department of Defense (DoD) policies have been written that require V&V to be implemented as part of the M&S design, development, and acquisition process. Many things can go wrong when a model is not carefully verified and validated. Not only does lack of V&V make a model difficult, if not impossible, to use, but the model may fail to support its intended use. V&V reduces the risks of developing an M&S that does not meet requirements or of using an inappropriate simulation to support a decision. While risks can never be eliminated entirely, they can be quantified in a way that they provide the decision maker with an indication of how high the cost of using an erroneous M&S result can be. This approach therefore allows optimal decisions to be made. This paper gives a description of a methodology for implementing V&V processes and documentation into the M&S design process.

Citation Download Citation

James N. Elele and Nancy Gould "Methodology for designing M&S that integrates V&V processes and documentation", Proc. SPIE 8403, Modeling and Simulation for Defense Systems and Applications VII, 84030G (4 May 2012); https://doi.org/10.1117/12.921436

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KEYWORDS

Data modeling

Process modeling

Calibration

Databases

Modeling and simulation

Performance modeling

Defense and security

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