On End-to-End Program Generation from User Intention
by Deep Neural NetworksLili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin
Software Institute, School of EECS, Peking University, Beijing 100871, P. R. China{doublepower.mou,menruimr}@gmail.com, {lige,zhanglu,zhijin}@sei.pku.edu.cnABSTRACT
This paper envisions an end-to-end program generation sce-
nario using recurrent neural networks (RNNs): Users can
express their intention in natural language; an RNN then
automatically generates corresponding code
