@article{ART001992789},
author={Hong Euyseok},
title={Software Quality Prediction based on Defect Severity},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2015},
volume={20},
number={5},
pages={73-81}
TY - JOUR
AU - Hong Euyseok
TI - Software Quality Prediction based on Defect Severity
JO - Journal of The Korea Society of Computer and Information
PY - 2015
VL - 20
IS - 5
PB - The Korean Society Of Computer And Information
SP - 73
EP - 81
SN - 1598-849X
AB - Most of the software fault prediction studies focused on the binary classification model that predicts whether an input entity has faults or not. However the ability to predict entity fault-proneness in various severity categories is more useful because not all faults have the same severity. In this paper, we propose fault prediction models at different severity levels of faults using traditional size and complexity metrics.
They are ternary classification models and use four machine learning algorithms for their training.
Empirical analysis is performed using two NASA public data sets and a performance measure, accuracy.
The evaluation results show that backpropagation neural network model outperforms other models on both data sets, with about 81% and 88% in terms of accuracy score respectively.
KW - software quality;metrics;defect severity;fault prediction
DO -
UR -
ER -
Hong Euyseok. (2015). Software Quality Prediction based on Defect Severity. Journal of The Korea Society of Computer and Information, 20(5), 73-81.
Hong Euyseok. 2015, "Software Quality Prediction based on Defect Severity", Journal of The Korea Society of Computer and Information, vol.20, no.5 pp.73-81.
Hong Euyseok "Software Quality Prediction based on Defect Severity" Journal of The Korea Society of Computer and Information 20.5 pp.73-81 (2015) : 73.
Hong Euyseok. Software Quality Prediction based on Defect Severity. 2015; 20(5), 73-81.
Hong Euyseok. "Software Quality Prediction based on Defect Severity" Journal of The Korea Society of Computer and Information 20, no.5 (2015) : 73-81.
Hong Euyseok. Software Quality Prediction based on Defect Severity. Journal of The Korea Society of Computer and Information, 20(5), 73-81.
Hong Euyseok. Software Quality Prediction based on Defect Severity. Journal of The Korea Society of Computer and Information. 2015; 20(5) 73-81.
Hong Euyseok. Software Quality Prediction based on Defect Severity. 2015; 20(5), 73-81.
Hong Euyseok. "Software Quality Prediction based on Defect Severity" Journal of The Korea Society of Computer and Information 20, no.5 (2015) : 73-81.
