Print Email Facebook Twitter A Framework for Optimizing Simulation Model Validation & Verification Title A Framework for Optimizing Simulation Model Validation & Verification Author Roungas, V. (TU Delft Organisation & Governance) Meijer, Sebastiaan (KTH Royal Institute of Technology) Verbraeck, A. (TU Delft Policy Analysis) Date 2018 Abstract Thirty years of research on validation and verification have returned a plethora of methods and statistical techniques through methodological and case studies. It is, however, this abundance of methods and techniques that poses a major challenge. Due to time and budget constraints, it is impossible to apply all the available methods and techniques in a single study, and as such a careful selection has to be made. This paper builds on two assumptions: a) simulations, real-world systems, methods, and techniques can be defined on the basis of different characteristics and b) certain methods and techniques are more suitable than others for different kinds of simulation studies. The present study aims at identifying the specific characteristics that make certain methods and techniques more effective and more efficient than others, when juxtaposing these with the simulations' and systems' different characteristics. The conclusion will advance a methodology for choosing the most appropriate methods and techniques for validating and/or verifying a simulation. Subject simulationvalidationverificationmethod selection To reference this document use: http://resolver.tudelft.nl/uuid:53a9fbfe-5d9a-40df-924d-94ee49bd21ae ISSN 1942-261X Source International Journal on Advances in Systems and Measurements, 11 (1 & 2), 137-152 Part of collection Institutional Repository Document type journal article Rights © 2018 V. Roungas, Sebastiaan Meijer, A. Verbraeck Files PDF paper.pdf 549.29 KB Close viewer /islandora/object/uuid%3A53a9fbfe-5d9a-40df-924d-94ee49bd21ae/datastream/OBJ/view