Interpreting CodeBERT for semantic code clone detection

• 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
• Institution: Singapore Management University

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...