Evaluation of Feature Extraction Methods on Software Cost Estimation

Authors:
Burak Turhan;Onur Kutlubay;Ayse Bener
Affiliations:
Bogazici University, Turkey;Bogazici University, Turkey;Bogazici University, Turkey
Venue:
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Year:
2007

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Abstract

This research investigates the effects of linear and non-linear feature extraction methods on the cost estimation performance. We use Principal Component Analysis (PCA) and Isomap for extracting new features from observed ones and evaluate these methods with support vector regression (SVR) on publicly available datasets. Our results for these datasets indicate there is no significant difference between the performances of these linear and non-linear feature extraction methods.