Cross-Project Defect Prediction Based on Two-Phase Feature Importance Amplification

As the typical application of computational intelligence in software engineering, cross-project defect prediction (CPDP) uses labeled data from other projects (source projects) for building models to predict the defects in the current projects (target projects), helping testers quickly locate the de...

Descripción completa

Detalles Bibliográficos
Autores principales: Xing, Ying, Lin, Wanting, Lin, Xueyan, Yang, Bin, Tan, Zhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038416/
https://www.ncbi.nlm.nih.gov/pubmed/35479605
http://dx.doi.org/10.1155/2022/2320447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038416/
https://www.ncbi.nlm.nih.gov/pubmed/35479605
http://dx.doi.org/10.1155/2022/2320447

Ejemplares similares