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TCCCD: Triplet-Based Cross-Language Code Clone Detection

open access: yesApplied Sciences, 2023
Code cloning is a common practice in software development, where developers reuse existing code to accelerate programming speed and enhance work efficiency. Existing clone-detection methods mainly focus on code clones within a single programming language.
Yong Fang   +3 more
doaj   +2 more sources

SJBCD: A Java Code Clone Detection Method Based on Bytecode Using Siamese Neural Network

open access: yesApplied Sciences, 2023
Code clone detection is an important research topic in the field of software engineering. It is significant in developing software and solving software infringement disputes to discover code clone phenomenon effectively in and between software systems ...
Bangrui Wan   +3 more
doaj   +2 more sources

Fast Code Clone Detection Based on Weighted Recursive Autoencoders [PDF]

open access: goldIEEE Access, 2019
Code cloning considerably facilitates software development but also leads to recurring bugs and other software quality problems. In this paper, we propose a fast code clone detection method based on weighted recursive autoencoders (RAE) to measure code ...
Jie Zeng   +3 more
doaj   +2 more sources

GPT-J Code Clone Detection

open access: green, 2022
This is GPT-J code clone detection.
­ Anonymous
openalex   +2 more sources

Exploring the Boundaries Between LLM Code Clone Detection and Code Similarity Assessment on Human and AI-Generated Code

open access: yesBig Data and Cognitive Computing
As Large Language Models (LLMs) continue to advance, their capabilities in code clone detection have garnered significant attention. While much research has assessed LLM performance on human-generated code, the proliferation of LLM-generated code raises ...
Zixian Zhang, Takfarinas Saber
doaj   +2 more sources

Evaluating few shot and Contrastive learning Methods for Code Clone Detection [PDF]

open access: greenEmpirical Software Engineering, 2022
Code Clone Detection (CCD) is a software engineering task that is used for plagiarism detection, code search, and code comprehension. Recently, deep learning-based models have achieved an F1-Score (a metric used to assess classifiers) of ∼\documentclass ...
Mohamad Khajezade   +2 more
openalex   +2 more sources

Code Clone Detection Techniques Based on Large Language Models

open access: yesIEEE Access
Code duplication, commonly known as code cloning, is a persistent challenge in software development. While reusing code fragments boosts productivity, excessive cloning poses challenges to maintenance and elevates the risk of bugs. Therefore, integrating
Afnan A. Almatrafi   +2 more
doaj   +2 more sources

DSFM: Enhancing Functional Code Clone Detection with Deep Subtree Interactions [PDF]

open access: goldInternational Conference on Software Engineering
Functional code clone detection is important for software maintenance. In recent years, deep learning techniques are introduced to improve the performance of functional code clone detectors.
Zhiwei Xu   +7 more
openalex   +2 more sources

An Effective Semantic Code Clone Detection Framework Using Pairwise Feature Fusion

open access: yesIEEE Access, 2021
Code clones. In this work, we propose a novel detection framework using machine learning for automated detection of all four type of clones. The features extracted from a pair of code blocks are combined for possible detection of a clone with respect to ...
Abdullah Sheneamer   +2 more
doaj   +2 more sources

Quantifying cross-language code reuse via function-level clone detection [PDF]

open access: goldJournal of King Saud University: Computer and Information Sciences
Code reuse through cloning is common in software development, yet excessive or unchecked cloning can harm maintainability and raise plagiarism concerns.
Yi Rong, Yan Zhou
doaj   +2 more sources

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