Review Sharing via Deep Semi-Supervised Code Clone Detection

Review Sharing via Deep Semi-Supervised Code Clone Detection

Code review as a typical type of user feedback has recently drawn increasing attentions for improving code quality. To carry out research on code review, sufficient review data is normally required. As a result, recent efforts commonly focus on analysis for projects with sufficient reviews (called &...

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Bibliographic Details
Main Authors: Chenkai Guo, Hui Yang, Dengrong Huang, Jianwen Zhang, Naipeng Dong, Jing Xu, Jingwen Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Code clone
software review
deep learning
semi-supervised CNN
review sharing
Online Access:https://ieeexplore.ieee.org/document/8959206/

Internet

https://ieeexplore.ieee.org/document/8959206/

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