Finalized:Monday, November 9, 2015
Author(s):Mattmann, Chris A. & Oh, Ji-Hyun & Palsulich, Tyler & Mcgibbney, Lewis & Gil, Yolanda & Ratnakar, Varun
Mattmann, Chris A. & Oh, Ji-Hyun & Palsulich, Tyler & Mcgibbney, Lewis & Gil, Yolanda & Ratnakar, Varun. (2015). DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis. 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, November 2015, 97-101. 10.1109/ASEW.2015.14.This material is based upon work supported by the National Science Foundation under Grant No. 1440323. Opinions, findings, conclusions or recommendations expressed are those of the authors and do not reflect the views of the NSF.