KCO: Balancing class distribution in just-in-time software defect prediction using kernel crossover oversampling.
The performance of the defect prediction model by using balanced and imbalanced datasets makes a big impact on the discovery of future defects. Current resampling techniques only address the imbalanced datasets without taking into consideration redundancy and noise inherent to the imbalanced dataset...
Main Authors: | Ahmad Muhaimin Ismail, Siti Hafizah Ab Hamid, Asmiza Abdul Sani, Nur Nasuha Mohd Daud |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-01-01
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Series: | PLoS ONE |
Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299585&type=printable |
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