Inferring Javascript types using Graph Neural Networks

05/16/2019
by   Jessica Schrouff, et al.
0

The recent use of `Big Code' with state-of-the-art deep learning methods offers promising avenues to ease program source code writing and correction. As a first step towards automatic code repair, we implemented a graph neural network model that predicts token types for Javascript programs. The predictions achieve an accuracy above 90%, which improves on previous similar work.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset