Heterogeneous Defect Prediction Based on Federated Prototype Learning

Heterogeneous Defect Prediction Based on Federated Prototype Learning

Software defect prediction is used to identify modules in software projects that may have defects. Heterogeneous Defect Prediction (HDP) establishes a cross project defect prediction model based on different software defect datasets. However, due to the heterogeneity of multi-source data, the model...

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Bibliographic Details
Main Authors: Aili Wang, Linlin Yang, Haibin Wu, Yuji Iwahori
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Heterogeneous defect prediction
federated learning
prototype learning
data islands
Online Access:https://ieeexplore.ieee.org/document/10243025/

Internet

https://ieeexplore.ieee.org/document/10243025/

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