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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Bibliographic Details
Main Authors: Suryana, Nanna, Wahono, Romi Satria
Format: Article
Language:English
Published: SERSC Science & Engineering ResearchSupport soCiety 2013
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
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