Few-Shot Learning Based Balanced Distribution Adaptation for Heterogeneous Defect Prediction

Few-Shot Learning Based Balanced Distribution Adaptation for Heterogeneous Defect Prediction

Heterogeneous defect prediction (HDP) aims to predict the defect tendency of modules in one project using heterogeneous data collected from other projects. It sufficiently incorporates the two characteristics of the defect prediction data: (1) datasets could have different metrics and distribution,...

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Bibliographic Details
Main Authors: Aili Wang, Yutong Zhang, Haibin Wu, Kaiyuan Jiang, Minhui Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Heterogeneous defect prediction
balanced distribution adaptation
few-shot learning
class imbalance
Online Access:https://ieeexplore.ieee.org/document/8999527/

Internet

https://ieeexplore.ieee.org/document/8999527/

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