Applying support vector regression for web effort estimation using a cross-company dataset

@article{Corazza2009ApplyingSV,
  title={Applying support vector regression for web effort estimation using a cross-company dataset},
  author={Anna Corazza and Sergio Di Martino and Filomena Ferrucci and Carmine Gravino and Emilia Mendes},
  journal={2009 3rd International Symposium on Empirical Software Engineering and Measurement},
  year={2009},
  pages={191-202}
}
Support Vector Regression (SVR) is a new generation of Machine Learning algorithms, suitable for predictive data modeling problems. The objective of this paper is to investigate the effectiveness of SVR for Web effort estimation, in particular when dealing with a cross-company dataset. To gain a deeper insight on the method, we carried out an empirical… CONTINUE READING