This special session will focus on the recently published IEEE standard for model/ simulation validation. The Feature Selective Validation (FSV) technique is used to quantify the quality of the agreement between two data sets, such as the simulation results and the data used as validation data. The FSV techniques must be modified depending upon the use, and this session will show how to use the FSV technique and when it must be modified to fit the task.Planned Papers1. Using the Feature Selective Validation Technique to Compare CEM Code Predictions and Measurements of Field Distributions for Cavity ProblemsAndrew L. Drozd; ANDRO Computational Solutions, LLC; Rome, NY, U.S.A.Irina Kasperovich; ANDRO Computational Solutions, LLC; Rome, NY, U.S.A.Clifford E. Carroll, Jr.; ANDRO Computational Solutions, LLC; Rome, NY, U.S.A.2. Application of GRADE and SPREAD to Feature Selective Validation (FSV) Results and the use of Focus FSVBruce Archambeault; IBM; Raleigh Triangle Park, NC, U.S.A.3. Application of the Feature Selective Validation Method to Test Site EvaluationColin E. Brench; Southwest Research Institute; San Antonio, TX, U.S.A.4. FSV validation of Radiowave Transmission Losses Using Two Different Measurement SystemsRobert Johnk; Institute for Telecommunication Sciences (NTIA/ITS); Boulder, CO, U.S.A. Paul McKenna; Institute for Telecommunication Sciences (NTIA/ITS); Boulder, CO, U.S.A.5. Comparison among Different via Modeling Approaches based on Feature Selective Validation (FSV) techniqueHanfeng Wang; Missouri University of Science and Technology; Rolla, MO, U.S.A.Siming Pan; Missouri University of Science and Technology; Rolla, MO, U.S.A.Jun Fan; Missouri University of Science and Technology; Rolla, MO, U.S.A.6. Comparison of Antenna Pattern Validation using the Feature Selective Validation TechniqueL. Gregory Hiltz, Ph.D; Department of National Defense; Canada