Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction-Reference-Cited by-同舟云学术

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Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction

Published:2024-02 Issue:2 Volume:50 Page:296-321
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Yang Yanming¹^ORCID,Hu Xing²^ORCID,Gao Zhipeng³^ORCID,Chen Jinfu⁴^ORCID,Ni Chao²^ORCID,Xia Xin⁵^ORCID,Lo David⁶^ORCID

Affiliation:

1. Department of Computer Science and Technology, Zhejiang University, Ningbo, China

2. School of Software Technology, Zhejiang University, Ningbo, China

3. Shanghai Institute for Advanced Study, Zhejiang University, Hangzhou, China

4. School of Computer Science, Wuhan University, Wuhan, China

5. Software Engineering Application Technology Lab, Huawei, Hangzhou, China

6. School of Computing and Information Systems, Singapore Management University, Singapore

Funder

National Natural Science Foundation of China

National Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/32/10433390/10379838.pdf?arnumber=10379838

Reference85 articles.

1. Real‐time insect tracking and monitoring with computer vision and deep learning

2. Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition

3. An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools

4. DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones

5. SCDetector: Software functional clone detection based on semantic tokens analysis;Wu,2020

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