Corpus ID: 202712680

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

@article{Husain2019CodeSearchNetCE,
  title={CodeSearchNet Challenge: Evaluating the State of Semantic Code Search},
  author={H. Husain and Ho-Hsiang Wu and Tiferet Gazit and Miltiadis Allamanis and Marc Brockschmidt},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.09436}
}
  • H. Husain, Ho-Hsiang Wu, +2 authors Marc Brockschmidt
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • Semantic code search is the task of retrieving relevant code given a natural language query. While related to other information retrieval tasks, it requires bridging the gap between the language used in code (often abbreviated and highly technical) and natural language more suitable to describe vague concepts and ideas. To enable evaluation of progress on code search, we are releasing the CodeSearchNet Corpus and are presenting the CodeSearchNet Challenge, which consists of 99 natural language… CONTINUE READING
    26 Citations

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