3 papers
cs.NE2019
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
Yasir Hussain, Zhiqiu Huang, Yu Zhou +1
The source code suggestions provided by current IDEs are mostly dependent on static type learning. These suggestions often end up proposing irrelevant suggestions for a peculiar co…
cs.LG2019
Deep Transfer Learning for Source Code Modeling
Yasir Hussain, Zhiqiu Huang, Yu Zhou +1
In recent years, deep learning models have shown great potential in source code modeling and analysis. Generally, deep learning-based approaches are problem-specific and data-hungr…
cs.NE2019
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
Yasir Hussain, Zhiqiu Huang, Yu Zhou +1
Recently deep learning based Natural Language Processing (NLP) models have shown great potential in the modeling of source code. However, a major limitation of these approaches is…