When deep learning met code search

@article{Cambronero2019WhenDL,
  title={When deep learning met code search},
  author={J. Cambronero and Hongyu Li and S. Kim and Koushik Sen and S. Chandra},
  journal={Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering},
  year={2019}
}
  • J. Cambronero, Hongyu Li, +2 authors S. Chandra
  • Published 2019
  • Computer Science
  • Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
There have been multiple recent proposals on using deep neural networks for code search using natural language. [...] Key Method To this end, we assembled implementations of state-of-the-art techniques to run on a common platform, training and evaluation corpora. To explore the design space in network complexity, we also introduced a new design point that is a minimal supervision extension to an existing unsupervised technique. Our evaluation shows that: 1. adding supervision to an existing unsupervised…Expand
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