Issue No. 11 - November (2003 vol. 29)
Erik Stensrud , IEEE
Barbara Kitchenham , IEEE Computer Society
<p><b>Abstract</b>—The Mean Magnitude of Relative Error, <it>MMRE</it>, is probably the most widely used evaluation criterion for assessing the performance of competing software prediction models. One purpose of <it>MMRE</it> is to assist us to select the best model. In this paper, we have performed a simulation study demonstrating that <it>MMRE</it> does not always select the best model. Our findings cast some doubt on the conclusions of any study of competing software prediction models that used <it>MMRE</it> as a basis of model comparison. We therefore recommend not using <it>MMRE</it> to evaluate and compare prediction models. At present, we do not have any universal replacement for <it>MMRE</it>. Meanwhile, we therefore recommend using a combination of theoretical justification of the models that are proposed together with other metrics proposed in this paper.</p>
Mean magnitude of relative error, software metrics, simulation, regression analysis, prediction models, software cost estimation, software engineering, empirical software engineering, prediction accuracy.
E. Stensrud, B. Kitchenham, I. Myrtveit and T. Foss, "A Simulation Study of the Model Evaluation Criterion MMRE," in IEEE Transactions on Software Engineering, vol. 29, no. , pp. 985-995, 2003.