PRINCIPLES OF MODELLING 2
4. Models should be validated prior to implementation.
retrospective testing against historical data (especially for forecasting models).
If the model is supposed to represent a class of things, test it against members of a class which was not used in the modeling (e.g., as in regression analysis).
systematically vary parameters in the model and real system (if possible) and see whether the changes in behavior match.
construct artificial tests, e.g., enter extreme values and see what happens (zero is always an interesting number to try).