Heterogeneous cross-project defect prediction with multiple source projects based on transfer learning

Heterogeneous cross-project defect prediction with multiple source projects based on transfer learning

Cross-project defect prediction (CPDP) aims to predict the defect proneness of target project with the defect data of source project. Existing CPDP methods are based on the assumption that source and target projects should have the same metrics. Heterogeneous cross-project defect prediction (HCPDP)...

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Bibliographic Details
Main Authors: Xinglong Yin, Lei Liu, Huaxiao Liu, Qi Wu
Format: Article
Language:English
Published: AIMS Press 2020-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
defect prediction
heterogeneous metrics
multiple heterogeneous source projects
transfer learning
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020054?viewType=HTML

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