WCM‐WTrA: A Cross‐Project Defect Prediction Method Based on Feature Selection and Distance‐Weight Transfer Learning-Reference-Cited by-同舟云学术

WCM‐WTrA: A Cross‐Project Defect Prediction Method Based on Feature Selection and Distance‐Weight Transfer Learning

Published:2022-03 Issue:2 Volume:31 Page:354-366
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chinese J of Electronics

Author:

LEI Tianwei¹,XUE Jingfeng¹,WANG Yong¹,NIU Zequn¹,SHI Zhiwei²,ZHANG Yu³

Affiliation:

1. School of Computer Science and TechnologyBeijing Institute of TechnologyBeijing100081China

2. China Information Technology Security Evaluation CenterBeijing100085China

3. School of Electrical and Information EngineeringBeijing University of Civil Engineering and ArchitectureBeijing100044China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.00.119

Reference27 articles.

1. A Systematic Literature Review on Fault Prediction Performance in Software Engineering

2. A survey on cross‐project software defect prediction methods;Xiang Chen;Chinese Journal of Computers,2018

3. Assessing the applicability of fault-proneness models across object-oriented software projects

4. Cross‐project defect prediction with respect to code ownership model: An empirical study;Jureczko M;E‐Informatica Software Engineering Journal,2015

5. On the dataset shift problem in software engineering prediction models

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