Article ID: | iaor20084104 |
Country: | Netherlands |
Volume: | 172 |
Issue: | 3 |
Start Page Number: | 1040 |
End Page Number: | 1050 |
Publication Date: | Aug 2006 |
Journal: | European Journal of Operational Research |
Authors: | Pendharkar Parag C. |
Keywords: | statistics: data envelopment analysis |
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.