Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles

Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles

Software defect prediction refers to the automatic identification of defective parts of software through machine learning techniques. Ensemble learning has exhibited excellent prediction outcomes in comparison with individual classifiers. However, most of the previous work utilized ensemble models i...

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Bibliografische gegevens
Hoofdauteurs: Amal Alazba, Hamoud Aljamaan
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2022-04-01
Reeks:Applied Sciences
Onderwerpen:
machine learning
ensemble learning
software defect
hyperparameter optimization
stacking generalization
Online toegang:https://www.mdpi.com/2076-3417/12/9/4577

Internet

https://www.mdpi.com/2076-3417/12/9/4577

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