Interpreting CodeBERT for semantic code clone detection

Interpreting CodeBERT for semantic code clone detection

Accurate detection of semantic code clones has many applications in software engineering but is challenging because of lexical, syntactic, or structural dissimilarities in code. CodeBERT, a popular deep neural network based pre-trained code model, can detect code clones with a high accuracy. However...

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Bibliographic Details
Main Authors: ABID, Shamsa, CAI, Xuemeng, JIANG, Lingxiao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Codes
Correlation
Semantics
Cloning
Predictive models
Syntactics
Software reliability
Explainable AI
Model Interpretation
Black- box
Semantic Clone Detection
Code Model
Deep Learning
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/9313
https://ink.library.smu.edu.sg/context/sis_research/article/10313/viewcontent/apsec23interpretCodeBERT.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9313
https://ink.library.smu.edu.sg/context/sis_research/article/10313/viewcontent/apsec23interpretCodeBERT.pdf

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