Validation, verification, and testing techniques throughout the life cycle of a simulation study
WSC '94 Proceedings of the 26th conference on Winter simulation
Validation of trace-driven simulation models: regression analysis revisited
WSC '96 Proceedings of the 28th conference on Winter simulation
Validation of models: statistical techniques and data availability
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Proceedings of the 32nd conference on Winter simulation
Industrial Cases in Simulation Modeling
Industrial Cases in Simulation Modeling
The system dynamics approach to analysis of complex industrial and management systems
WSC '83 Proceedings of the 15th conference on Winter Simulation - Volume 2
Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
Verification validation: model verification and validation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Design and Analysis of Experiments
Design and Analysis of Experiments
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Verification and Validation (V&V) is a key process to guarantee that any model represents adequately a given system. Although no one can guarantee a 100% valid model, it is possible to increase model confidence by the utilization of V&V techniques. There are many V&V techniques which have a descriptive nature (they tell us what to do but not how to do it). There are also prescriptive techniques, that tell us how to do it, but in simulation practice they are underused. The main goal of this paper is based on Kleijnen (1999) procedure. It is to propose a prescriptive V&V technique that is simple enough for practical application and, because of its procedural nature, it could be easily built into any simulation software, thus enabling the automation of the V&V process. This approach was also applied to some test problems confirming its feasibility.