IEICE TRANSACTIONS on Information
Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction
Summary :
An asymmetric classifier based on kernel partial least squares is proposed for software defect prediction. This method improves the prediction performance on imbalanced data sets. The experimental results validate its effectiveness.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.7 pp.2006-2008
- Publication Date
- 2012/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.2006
- Type of Manuscript
- LETTER
- Category
- Software Engineering
Authors
Keyword
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Guangchun LUO, Ying MA, Ke QIN, "Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 7, pp. 2006-2008, July 2012, doi: 10.1587/transinf.E95.D.2006.
Abstract: An asymmetric classifier based on kernel partial least squares is proposed for software defect prediction. This method improves the prediction performance on imbalanced data sets. The experimental results validate its effectiveness.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.2006/_p
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@ARTICLE{e95-d_7_2006,
author={Guangchun LUO, Ying MA, Ke QIN, },
journal={IEICE TRANSACTIONS on Information},
title={Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction},
year={2012},
volume={E95-D},
number={7},
pages={2006-2008},
abstract={An asymmetric classifier based on kernel partial least squares is proposed for software defect prediction. This method improves the prediction performance on imbalanced data sets. The experimental results validate its effectiveness.},
keywords={},
doi={10.1587/transinf.E95.D.2006},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction
T2 - IEICE TRANSACTIONS on Information
SP - 2006
EP - 2008
AU - Guangchun LUO
AU - Ying MA
AU - Ke QIN
PY - 2012
DO - 10.1587/transinf.E95.D.2006
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2012
AB - An asymmetric classifier based on kernel partial least squares is proposed for software defect prediction. This method improves the prediction performance on imbalanced data sets. The experimental results validate its effectiveness.
ER -
English
