| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6905466 | Applied Soft Computing | 2015 | 16 Pages |
Abstract
- 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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Cuauhtémoc López-MartÃn,