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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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Autori principali: Nana Zhang, Shi Ying, Kun Zhu, Dandan Zhu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wiley 2022-02-01
Serie:IET Software
Accesso online:https://doi.org/10.1049/sfw2.12029
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