A Review Of Training Data Selection In Software Defect Prediction
The publicly available dataset poses a challenge in selecting the suitable data to train a defect prediction model to predict defect on other projects. Using a cross-project training dataset without a careful selection will degrade the defect prediction performance. Consequently, training data selec...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Little Lion Scientific Islamabad Pakistan
2020
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24911/2/FULL%20PAPER_%20A%20REVIEW%20OF%20TRAINING%20DATA%20SELECTION%20IN%20SOFTWARE.PDF http://eprints.utem.edu.my/id/eprint/24911/ http://www.jatit.org/volumes/Vol98No12/9Vol98No12.pdf |
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