Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects

- This study is related to a software engineering application based on neural networks.
- Neural Networks are applied for predicting the development effort of software projects.
- Prediction accuracy of neural networks is compared with that of a Statistical Regression.
- Samples of software projects for training and testing the models are obtained from ISBSG data set.
- A Radial Basis Function Neural Network had a prediction accuracy with the highest confidence level.