HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning

HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning

Cross-Project Defect Prediction (CPDP) is an active topic for predicting defects on projects (target projects) with scarce-labeled data by reusing the classification models from other projects (source projects). Traditional CPDP methods require common features between the data of two projects and ut...

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Bibliographic Details
Main Authors: Zhou Xu, Peipei Yuan, Tao Zhang, Yutian Tang, Shuai Li, Zhen Xia
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Heterogeneous cross-project defect prediction
heterogeneous domain adaptation
dictionary learning
Online Access:https://ieeexplore.ieee.org/document/8481686/

Internet

https://ieeexplore.ieee.org/document/8481686/

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