Sign in
Back
Software quality prediction using median-adjusted class labels
Conference proceeding

Software quality prediction using median-adjusted class labels

N.J. Pizzi, A.R. Summers, W. Pedrycz and IEEE
Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), Vol.3, pp.2405-2409 vol.3
2002
DOI: https://doi.org/10.1109/IJCNN.2002.1007518

Abstract

Multilayer perceptrons Neural networks Project management Quality assessment Quality management Robustness Software measurement Software metrics Software quality Testing
Software metrics aid project managers in predicting the quality of software systems. A method is proposed using a neural network classifier with metric inputs and subjective quality assessments as class labels. The labels are adjusted using fuzzy measures of the distances from each class center computed using robust multivariate medians.

Metrics

1 Record Views

Details