Deep Learning Applied to Code Analysis

Student thesis: Master types › Master in Computer Science Professional focus in Data Science

Abstract

Code 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 Award3 Sept 2019
Original languageEnglish
Awarding Institution
  • University of Namur
SupervisorBenoît Frénay (Supervisor) & Benoit Vanderose (Supervisor)

Keywords

  • deep learning
  • code analysis
  • TBCNN

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