FSD-CLCD: Functional semantic distillation graph learning for cross-language code clone detection-Reference-Cited by-同舟云学术

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FSD-CLCD: Functional semantic distillation graph learning for cross-language code clone detection

Published:2024-07 Issue: Volume:133 Page:108199
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Linghao,Luo Senlin,Pan Limin^ORCID,Wu Zhouting,Gong Kun

Funder

National Computer Network Emergency Response Technical Team Coordination Center of China

Publisher

Elsevier BV

Reference37 articles.

1. srcClone: Detecting Code Clones via Decompositional Slicing;Alomari,2020

2. SimGNN: A Neural Network Approach to Fast Graph Similarity Computation;Bai,2019

3. Learning-based efficient graph similarity computation via multi-scale convolutional set matching;Bai;Proc. AAAI Conf. Artif. Intell.,2020

4. On Finding Duplication and Near-Duplication in Large Software Systems;Baker,1995

5. Clone Detection Using Abstract Syntax Trees;Baxter,1998

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