Abstract: This paper provides several ideas how to improve the performance of PDG-based code clone detection techniques. We suggest an efficient way to handle ...
This paper provides several ideas how to improve the performance of PDG-based code clone detection techniques. We suggest an efficient way to handle the ...
In this paper, we propose a novel PDG-based code clone detector ... The prepro- cessing stage includes PDG generation, structure optimization and filtering.
Missing: Tuning | Show results with:Tuning
Oct 13, 2015 · In this paper, we propose a PDG-based incremental code clone detection technique for improving practicality of PDG-based detection. A prototype ...
Missing: Tuning | Show results with:Tuning
In this paper, we propose compiler optimization based code clone detection technique. Our approach relies on the compiler to smooth out the differences in ...
The study found that various deep learning-based approaches have been applied to detecting code clones where deep neural networks and recurrent neural networks ...
Dec 10, 2024 · Despite recent advances in AST, PDG-based, and hybrid detection methods, accurately identifying complex Type-III clone types remains challenging ...
Dec 19, 2024 · In this paper, we propose a multi-step evaluation approach for five state-of-the-art clone detection models leveraging existing benchmark ...
Jul 13, 2023 · It can accelerate the process of detection and implement the fine-grained analysis of clone pairs to locate the concrete clone parts of the code ...
This paper proposes a two-pass clone classification technique that uses a tree-based convolution neural network (TBCNN) to detect multiple clone types, ...