A permutation test based on regression error characteristic curves for software cost estimation models
Regression Error Characteristic (REC) curves provide a visualization tool, able to characterize graphically the prediction power of alternative predictive models. Due to the benefits of using such a visualization description of the whole distribution of error, REC analysis was recently introduced in software cost estimation to aid the decision of choosing the most appropriate cost estimation model during the management of a forthcoming project.
permutation test cost prediction models accuracy measures graphical comparison hypothesis test rec curves