Hybrid feature selection method for predicting software defect
Abstract To address the challenges associated with the abundance of features in software datasets, this study proposes a novel hybrid feature selection method that combines quantum particle swarm optimization (QPSO) and principal component analysis (PCA). The objective is to identify a subset of rel...
Gardado en:
| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2024-05-01
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| Series: | Journal of Engineering and Applied Science |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s44147-024-00453-3 |
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