Predicting defects in imbalanced data using resampling methods: an empirical investigation

The development of correct and effective software defect prediction (SDP) models is one of the utmost needs of the software industry. Statistics of many defect-related open-source data sets depict the class imbalance problem in object-oriented projects. Models trained on imbalanced data leads to ina...

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Detalles Bibliográficos
Autores principales: Malhotra, Ruchika, Jain, Juhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137963/
https://www.ncbi.nlm.nih.gov/pubmed/35634102
http://dx.doi.org/10.7717/peerj-cs.573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137963/
https://www.ncbi.nlm.nih.gov/pubmed/35634102
http://dx.doi.org/10.7717/peerj-cs.573

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