DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis. Mattmann, C. A., Oh, J., Palsulich, T., McGibbney, L. J., Gil, Y., & Ratnakar, V. In Proceedings of the Fourth International Workshop on Software Mining, held in conjunction with the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), Lincoln, NE, 2015.
DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis [link]Link  DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis [link]Paper  doi  bibtex   
@inproceedings{ mattmann-etal-softmine2015,
  title = {DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis},
  author = {Chris A. Mattmann and Ji-Hyun Oh and Tyler Palsulich and Lewis John McGibbney and Yolanda Gil and Varun Ratnakar},
  booktitle = {Proceedings of the Fourth International Workshop on Software Mining, held in conjunction with the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
  address = {Lincoln, NE},
  year = {2015},
  doi = {10.1109/ASEW.2015.14},
  ee = {http://dx.doi.org/10.1109/ASEW.2015.14},
  url = {http://www.isi.edu/~gil/papers/mattmann-etal-softmine2015.pdf }
}

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