Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection
Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is required to enhance code embedding for better code analysis capabilities, aiming to surpass the performance and fun...
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| Main Authors: | Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10890964/ |
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