An Effective Semantic Code Clone Detection Framework Using Pairwise Feature Fusion

An Effective Semantic Code Clone Detection Framework Using Pairwise Feature Fusion

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 a reference block. We use AST and PDG features...

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Bibliographic Details
Main Authors: Abdullah Sheneamer, Swarup Roy, Jugal Kalita
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Machine learning
code clones
semantic clones
AST
PDG
features
Online Access:https://ieeexplore.ieee.org/document/9427518/

Internet

https://ieeexplore.ieee.org/document/9427518/

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