A Spontaneous Code Recommendation Tool Based on Associative Search (bibtex)
by Takuya Watanabe and Hidehiko Masuhara
Abstract:
We present Selene, a source code recommendation tool based on an associative search engine. It spontaneously searches and displays example programs while the developer is editing a program text. By using an associative search engine, it can search a repository of two million example programs within a few seconds. This paper discusses issues that are revealed by our ongoing implementation of Selene, in particular those of performance, similarity measures and user interface.
paper (PDF)
Reference:
A Spontaneous Code Recommendation Tool Based on Associative Search (Takuya Watanabe and Hidehiko Masuhara), In Proceedings of the 3rd International Workshop on Search-driven development: Users, Infrastructure, Tools and Evaluation (SUITE'11), 2011.
Bibtex Entry:
@inproceedings{watanabe2011suite,
  pdf = {suite2011.pdf},
  author = {Takuya Watanabe and Hidehiko Masuhara},
  title = {A Spontaneous Code Recommendation Tool Based on Associative Search},
  booktitle = {Proceedings of the 3rd International Workshop on Search-driven development: Users, Infrastructure, Tools and Evaluation (SUITE'11)},
  pages = {17--20},
  year = 2011,
  month = may,
  location = {Waikiki, Honolulu, Hawaii, USA},
  day = 28,
  keywords = {Selene, Eclipse},
  doi = {10.1145/1985429.1985434},
  abstract = {We present Selene, a source code recommendation tool based on an associative search engine. It spontaneously searches and displays example programs while the developer is editing a program text. By using an associative search engine, it can search a repository of two million example programs within a few seconds. This paper discusses issues that are revealed by our ongoing implementation of Selene, in particular those of performance, similarity measures and user interface.}
}
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