Jan 14, 2020 · In this paper, we try to address the problem via building a review sharing channel where the informative review can be reasonably delivered from s-projects to ...
To ensure the accuracy of shared reviews, we introduce a novel code clone detection model based on Convolutional Neural Network (CNN), and build suitable "s- ...
Feb 10, 2020 · The first challenge is that the clone detection model is trained and tested on the datasets with different code sources. The train- ing dataset ...
Review Sharing via Deep Semi-Supervised Code Clone Detection. Overview of ... Review Sharing via Deep Semi-Supervised Code Clone Detection. Published in.
In this paper, we present a systematic review of the literature on the application of deep learning on code clone detection.
Detecting code clones in such a platform is challenging and has not been studied much. In this paper, we present CLCD-I, a deep neural network-based approach ...
Code clone serves as a typical programming manner that reuses the existing code to solve similar programming problems, which greatly facilitates software ...
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In this paper, we present a systematic review of the literature on the application of deep learning on code clone detection. We aim to find and study the most ...
This paper reported the systematic literature review which is based on 57 primary studies related to use of machine learning in code clone research.
Review sharing via deep semi-supervised code clone detection. C Guo, H Yang, D Huang, J Zhang, N Dong, J Xu, J Zhu. IEEE Access 8, 24948-24965, 2020. 14, 2020.