Boa: Analyzing Ultra-Large-Scale Code Corpus

By: Robert Dyer, Hoan Nguyen, Hridesh Rajan, and Tien N. Nguyen

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Poster

Abstract

Software repositories contain an enormous amount of information such as revisions and bugs. Analyzing this data requires knowledge in mining software repositories and a large amount of infrastructure. We present our infrastructure to ease such analyses. Our results show writing analyses with our framework is simpler and executes faster.

ACM Reference

Dyer, R. et al. 2012. Boa: Analyzing Ultra-Large-Scale Code Corpus. SPLASH - Proceedings of the ACM Conference on Systems, Programming, and Applications: Software for Humanity, Tucson, USA (2012), 87–88.

BibTeX Reference

@inproceedings{DyerNguyenRajanNguyen2012,
  author = {Robert Dyer and Hoan Nguyen and Hridesh Rajan and Tien N. Nguyen},
  title = {Boa: Analyzing Ultra-Large-Scale Code Corpus},
  booktitle = {SPLASH - Proceedings of the ACM Conference on Systems, Programming, and Applications: Software for Humanity, Tucson, USA},
  pages = {87--88},
  year = {2012},
  publisher = {{ACM}},
  editor = {Gary T. Leavens},
  doi = {10.1145/2384716.2384752},
  abstract = {
  Software repositories contain an enormous amount of information such as
  revisions and bugs. Analyzing this data requires knowledge in mining software
  repositories and a large amount of infrastructure. We present our
  infrastructure to ease such analyses. Our results show writing analyses with
  our framework is simpler and executes faster.},
}