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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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Principais autores: Hadeel Alsolai, Marc Roper
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-05-01
Serier:Applied Sciences
Fag:
change-proneness
ensemble feature selection
ensemble sampling
prediction models
software maintenance
source code metrics
Online adgang:https://www.mdpi.com/2076-3417/12/10/5234
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