To validate the experimental results of any method and algorithm, what are the sufficient description or guidelines for set up the simulation-based studies (The simulator may be self developed), so that the credibility of the simulation results does not degrade.
"The sciences do not try to explain, they hardly even try to interpret, they mainly make models. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena. The justification of such a mathematical construct is solely and precisely that it is expected to work - that is, to correctly describe phenomena from a reasonably wide area. Furthermore, it must satisfy certain esthetic criteria - that is, in relation to how much it describes, it must be rather simple.” ― John von Neumann
The major pitfalls include Modeling and Validation, Simulation Software, Modeling System Randomness , Design and Analysis of Simulation Experiments. However, for successful simulation study, proper collection of data and validation of models are most important aspect.
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- Computer Communications (Networks)
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