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Modeling is very useful in many domains. A model can be very simple such as a mathematical equation, or be very complex. But, models are not always perfect and may not represent all the information about the system. In this paper, we suggest compensating for incompleteness and incorrectness of models by integrating Constraint-Based and Case-Based Reasoning. We model the problem as a Constraint Satisfaction