The Impact of Ensemble Techniques on Software Maintenance Change Prediction: An Empirical Study

Various prediction models have been proposed by researchers to predict the change-proneness of classes based on source code metrics. However, some of these models suffer from low prediction accuracy because datasets exhibit high dimensionality or imbalanced classes. Recent studies suggest that using...

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Detalhes bibliográficos

Principais autores:	Hadeel Alsolai, Marc Roper
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-05-01
coleção:	Applied Sciences
Assuntos:	change-proneness ensemble feature selection ensemble sampling prediction models software maintenance source code metrics
Acesso em linha:	https://www.mdpi.com/2076-3417/12/10/5234
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