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

Malhotra, Ruchika; Jain, Juhi

Malhotra, Ruchika; Jain, Juhi.

Afiliación

Malhotra R; Department of Software Engineering, Delhi Technological University (former Delhi College of Engineering), Shahbad Daulatpur, Delhi, India.
Jain J; Department of Computer Science and Engineering, Delhi Technological University (former Delhi College of Engineering), Shahbad Daulatpur, Delhi, India.

PeerJ Comput Sci ; 8: e573, 2022.

Article en En | MEDLINE | ID: mdl-35634102

Palabras clave

Class imbalance problem; Machine learning; Resampling methods; Software defect prediction; Statistical validation

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PeerJ Comput Sci Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google