A cross‐project defect prediction method based on multi‐adaptation and nuclear norm-Reference-Cited by-同舟云学术

A cross‐project defect prediction method based on multi‐adaptation and nuclear norm

Published:2021-12-24 Issue: Volume: Page:
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET Software

Author:

Huang Qingan¹²^ORCID,Ma Le²,Jiang Siyu³,Wu Guobin¹²,Song Hengjie¹,Jiang Libiao²,Zheng Chunyun⁴

Affiliation:

1. School of Software Engineering South China University of Technology Guangzhou China

2. Guangzhou City University of Technology Guangzhou China

3. Guangzhou Key Laboratory of Multilingual Intelligent Processing School of Information Science and Technology Guangdong University of Foreign Studies Guangzhou China

4. Automotive Engineering Research Institute Guangzhou Automobile Group Co., Ltd Guangzhou China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sfw2.12053

Reference42 articles.

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2. Software defect prediction using ensemble learning on selected features;Laradji I.H.;Inf. Software Technol,2015

3. Progress on approaches to software defect prediction;Li Z.;IET Softw.,2018

4. Software defect prediction using K‐PCA and various kernel‐based extreme learning machine: an empirical study;Pandey S.K.;IET Softw.,2020

5. Conpredictor: concurrency defect prediction in real‐world applications;Yu T.;IEEE Trans. Software Eng,2018

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