Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Adopting Curvilinear Component Analysis to Improve Software Cost Estimation Accuracy

Model, Application Strategy, and an Experimental Verification
 
: Sarcia, S.A.; Cantone, G.; Basili, V.R.

:
Fulltext (163 K.Byte; PDF; )

British Computer Society -BCS-:
12th International Conference on Evaluation and Assessment in Software Engineering (EASE). Online Proceedings : University of Bari, Italy, 26 - 27 June 2008
2008
10 pp.
International Conference on Evaluation and Assessment in Software Engineering (EASE) <12, 2008, Bari>
English
Conference Paper, Electronic Publication
Fraunhofer IESE ()

Abstract
Cost estimation is a critical issue for software organizations. Good estimates can help us make more informed decisions (controlling and planning software risks), if they are reliable (correct) and valid (stable). In this study, we apply a variable reduction technique (based on auto-associative feed--forward neural networks - called Curvilinear component analysis) to log-linear regression functions calibrated with ordinary least squares. Based on a COCOMO 81 data set, we show that Curvilinear component analysis can improve the estimation model accuracy by turning the initial input variables into an equivalent and more compact representation. We show that, the models obtained by applying Curvilinear component analysis are more parsimonious, correct, and reliable.

: http://publica.fraunhofer.de/documents/N-112671.html