Combining Particle Swarm Optimization Based Feature Selection And Bagging Technique For Software Defect Prediction
The costs of finding and correcting software defects have been the most expensive activity in software development. The accurate prediction of defect‐prone software modules can help the software testing effort,reduce costs,and improve the software testing process by focusing on fault-prone module.Re...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SERSC Science & Engineering ResearchSupport soCiety
2013
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/23050/2/romi-psobaggingforsdp-ijseia-2013.pdf http://eprints.utem.edu.my/id/eprint/23050/ http://sersc.org/journal/index.php/ijseia/issue/archive |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |