Improving with Hybrid Feature Selection in Software Defect Prediction
Software defect prediction (SDP) is used to identify defects in software modules that can be a challenge in software development. This research focuses on the problems that occur in Particle Swarm Optimization (PSO), such as the problem of noisy attributes, high-dimensional data, and premature conve...
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| Main Authors: | Muhammad Yoga Adha Pratama, Rudy Herteno, Mohammad Reza Faisal, Radityo Adi Nugroho, Friska Abadi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Department of Informatics, UIN Sunan Gunung Djati Bandung
2024-04-01
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| Series: | JOIN: Jurnal Online Informatika |
| Subjects: | |
| Online Access: | https://join.if.uinsgd.ac.id/index.php/join/article/view/1307 |
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