EVALUATING THE POTENTIAL OF ORTHOGONAL DEFECT CLASSIFICATION FOR VERIFICATION AND VALIDATION OF MODELLING AND SIMULATION APPLICATIONS

Model deficiencies, despite their negative influences on assessment of modelling and simulation (M&S) applications, carry a large amount of insightful information, which can be used to measure different aspects of the M&S development process and its verification and validation (V&V). Although there already exist various categorizations of model deficiencies, none of which can be used as a measurement tool to classify and analyze deficiency data collected in practice. Since several classifications and even an IEEE standard have been developed in the software community, this work investigates a well-known classification approach, the IBM Orthogonal Defect Classification (ODC) scheme in the M&S context. Based on the findings, a framework for developing model deficiency classifications is proposed, which can be applied to any simulation study with well structured model development and V&V processes.