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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....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |