In this paper, we present a machine learning framework to automatically detect clones in software, which is able to detect Types-3 and the most complicated ...

A machine learning framework to automatically detect clones in software, which is able to detect Types-3 and the most complicated kind of clones, ...

To detect semantic clones, techniques based on program dependency graphs, abstract syntax trees, machine learning, deep learning, support vector machines, etc.

In this paper, we present a machine learning framework to automatically detect clones in software, which is able to detect Types-3 and the most complicated kind ...

Machine learning is being applied in semantic clone detection, validation of clone detection results and recommendation of clones for maintenance related tasks.

Nov 21, 2021 · In this work, we would like to challenge the robustness of the recent ML-based clone detectors through code semantic-preserving transformations.

Amain is a scalable tree-based semantic code clone detector by building Markov chains models. We regard the nodes of an AST as different states.

In this study, a comparative analysis of automated semantic clone detection techniques is performed. Semantic clones are pieces of code that fulfill the ...

After collecting the distance scores of all states, we use them to train a machine learning classifier for code clone detection. Based on the trained classifier ...

Jan 5, 2023 · After obtaining all distance values, we feed them into a machine learning classifier to train a code clone detector. To examine the ...