Code for the ICSE 2018 paper Deep Code Search.
We release both Keras and PyTorch code of our approach, in the keras and pytorch folders, respectively.
-
The
Kerasfolder contains the code to run the experiments presented in the paper. The code is frozen to what it was when we originally wrote the paper. (NOTE: we modified some deprecated API invocations to fit for the latest Keras and theano). -
The
PyTorchis the bleeding-edge reporitory where we packaged it up, improved the code quality and added some features.
If you are interested in using DeepCS, check out the PyTorch version and feel free to contribute.
For more information, please refer to the README files under the directory of each component.
An online tool demo can be found in http://211.249.63.55:81/
If you find it useful and would like to cite it, the following would be appropriate:
@inproceedings{gu2018deepcs,
title={Deep Code Search},
author={Gu, Xiaodong and Zhang, Hongyu and Kim, Sunghun},
booktitle={Proceedings of the 2018 40th International Conference on Software Engineering (ICSE 2018)},
year={2018},
organization={ACM}
}