An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction

Ranking-oriented cross-project defect prediction (ROCPDP), which ranks software modules of a new target industrial project based on the predicted defect number or density, has been suggested in the literature. A major concern of ROCPDP is the distribution difference between the source project (aka....

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Detalles Bibliográficos
Autores principales: Luo, Haoyu, Dai, Heng, Peng, Weiqiang, Hu, Wenhua, Li, Fuyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625928/
https://www.ncbi.nlm.nih.gov/pubmed/34833608
http://dx.doi.org/10.3390/s21227535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625928/
https://www.ncbi.nlm.nih.gov/pubmed/34833608
http://dx.doi.org/10.3390/s21227535

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