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A common weakness of most software cost estimating models is their limited usefulness to predict the cost accurately and quickly at an early stage of the software development life cycle. This is due to the lack of data about the code quantity and code complexity at that point in the software cycle. A method for software cost estimation has been developed to address the problem of the early and accurate establishing of cost based on Case Based Reasoning. Using the software type, functions and primitive (x)R(y) Z-operations as parameters for characterising and handling the cases.  The output from the model has been analysed with respect to actual recorded historical test-case cost.

Evaluating a Software Costing Method Based on Software Features and Case Based Reasoning