AbstractCode analysis is an important topic for all software engineers as it is the core of the tools they use every day. While the tools of today are already quite powerful, it is interesting to take a look at what deep learning could bring to make them even better.
We propose an introduction to the deep learning applied to code analysis as well as a focus on one of the neural network architecture used, the tree-based convolutional neural network.
|Date of Award||3 Sep 2019|
|Supervisor||BENOIT FRENAY (Supervisor) & Benoit Vanderose (Supervisor)|
- deep learning
- code analysis
Deep Learning Applied to Code Analysis
Genin, S. (Author). 3 Sep 2019
Student thesis: Master types › Master in Computer Science Professional focus in Data Science