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Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine
Abstract Software defect prediction is an important software quality assurance technique. Nevertheless, the prediction performance of the constructed model is easily susceptible to irrelevant or redundant features in the software projects and is not predominant enough. To address these two issues, a...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2022-02-01
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| Colecção: | IET Software |
| Acesso em linha: | https://doi.org/10.1049/sfw2.12029 |
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