Overview of Deep Learning-Based Code Representation and Its Applications
The analysis and inference of program play an important role in software development, maintenance and migration. How to efficiently obtain high quality information from program code has become a hot research topic. In recent years, a large number of researchers have introduced the deep learning-base...
Hlavní autor: | ZHANG Xiangping, LIU Jianxun |
---|---|
Médium: | Článek |
Jazyk: | zho |
Vydáno: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2022-09-01
|
Edice: | Jisuanji kexue yu tansuo |
Témata: | |
On-line přístup: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2110073.pdf |
Podobné jednotky
-
Code Readability Assessment Method Based on Multidimensional Features and Hybrid Neural Networks
Autor: MI Qing, GUO Li-min, CHEN Jun-cheng
Vydáno: (2021-12-01) -
Learning Sentence-Level Representations with Predictive Coding
Autor: Vladimir Araujo, a další
Vydáno: (2023-01-01) -
Code Aggregate Graph: Effective Representation for Graph Neural Networks to Detect Vulnerable Code
Autor: Hoang Viet Nguyen, a další
Vydáno: (2022-01-01) -
Enhanced representation learning with temporal coding in sparsely spiking neural networks
Autor: Adrien Fois, a další
Vydáno: (2023-11-01) -
Discrete Infomax Codes for Supervised Representation Learning
Autor: Yoonho Lee, a další
Vydáno: (2022-04-01)