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The implementation of our ICSE'24 paper "Code Search is All You Need? Improving Code Suggestions With Code Search".

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Code Search is All You Need? Improving Code Suggestions with Code Search

This is the implementation of our ICSE'24 paper "Code Search is All You Need? Improving Code Suggestions with Code Search".

Datasets

Our datasets can be downloaded from Google Drive. Due to storage limitations, we provide our models only via Baidu Netdisk.

These datasets are processed on CodeXGLUE, CodeMatcher, and PyTorrent(Both_Docstrings_UserComments_v2)

Acknowledgment

Some code is adapted from microsoft/CodeXGLUE and kimiyoung/transformer-xl.

Reference

If you find our research work helpful, please consider citing our paper:

@inproceedings{chen2024code,
  title={Code Search is All You Need? Improving Code Suggestions with Code Search},
  author={Chen, Junkai and Hu, Xing and Li, Zhenhao and Gao, Cuiyun and Xia, Xin and Lo, David},
  booktitle={Proceedings of the IEEE/ACM 46th International Conference on Software Engineering},
  pages={1--13},
  year={2024}
}

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The implementation of our ICSE'24 paper "Code Search is All You Need? Improving Code Suggestions With Code Search".

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