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...
المؤلف الرئيسي: | ZHANG Xiangping, LIU Jianxun |
---|---|
التنسيق: | مقال |
اللغة: | zho |
منشور في: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2022-09-01
|
سلاسل: | Jisuanji kexue yu tansuo |
الموضوعات: | |
الوصول للمادة أونلاين: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2110073.pdf |
مواد مشابهة
-
Code Readability Assessment Method Based on Multidimensional Features and Hybrid Neural Networks
حسب: MI Qing, GUO Li-min, CHEN Jun-cheng
منشور في: (2021-12-01) -
Learning Sentence-Level Representations with Predictive Coding
حسب: Vladimir Araujo, وآخرون
منشور في: (2023-01-01) -
Code Aggregate Graph: Effective Representation for Graph Neural Networks to Detect Vulnerable Code
حسب: Hoang Viet Nguyen, وآخرون
منشور في: (2022-01-01) -
Enhanced representation learning with temporal coding in sparsely spiking neural networks
حسب: Adrien Fois, وآخرون
منشور في: (2023-11-01) -
Discrete Infomax Codes for Supervised Representation Learning
حسب: Yoonho Lee, وآخرون
منشور في: (2022-04-01)