Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
482695 | European Journal of Operational Research | 2006 | 11 Pages |
In this study, we investigate the factors that influence the object-oriented (OO) component size and source code documentation. For multiple inputs and multiple outputs, we use data envelopment analysis to illustrate that non-linear variable returns to scale (VRS) economies exist for OO component size and source code documentation. The existence of non-linear variable returns to scale economies indicates that non-linear regression models will perform better than linear regression models. Using empirical data, we compare the performance of non-linear artificial neural network (ANN) forecasting model and linear regression model. Our results indicate that the ANN model performs well when VRS economies exist between multiple inputs and multiple outputs.