Detect semantically similar python code using fine-tuned GraphCodeBERT model. This modified GraphCodeBERT model was fine-tuned for 11 hours using an A40 server on the PoolC (1fold) …

In this paper, we evaluate CodeBERT and interpret its clone detection behavior on the SemanticCloneBench dataset focusing on Java and Python clone pairs. We introduce the use …

• Removal of Clones is harder if variations exist. ‣ Use Machine Learning Techniques to compute similarity of fragments by exploiting specific features of the code. .... i. Instruction Class of the …

In this work, we propose a methodology for building a semantic code clone oracle (functional clone database) with the minimal need for manual validation. Our clone selection process …

In this paper, we propose a multi-step evaluation approach for five state-of-the-art clone detection models leveraging existing benchmark datasets including the recently proposed …

Apr 1, 2023 · Code clones refer to two or more identical or similar source code fragments in a codebase, which are introduced by frequently copying and pasting code fragments or simply …

This GitHub repo contains the source code, data, and results from our research study on explaining the predictions of the CodeBERT model for semantic code clone detection. Data …

If one code fragment contains a bug and gets fixed, all its clone peers should be always fixed in similar ways. i=i+j; } std::cout<<"Hello World"<<i<<std::endl; return 0; . i << . 2. String a[] = …

Aug 26, 2023 · From 79,928 clone pairs of GPT-3 output, we created a benchmark with 37,149 true semantic clone pairs, 19,288 false semantic pairs (Type-1/Type-2), and 20,770 cross …

This repository contains source code and scripts to obtain results for the paper "SLACC: Simion-based Language Agnostic Code Clones". The repository contains two major folders. code/ …