Improving change prediction with fine-grained source code mining

Huzefa H. Kagdi. Improving change prediction with fine-grained source code mining. In R. E. Kurt Stirewalt, Alexander Egyed, Bernd Fischer, editors, 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), November 5-9, 2007, Atlanta, Georgia, USA. pages 559-562, ACM, 2007. [doi]

@inproceedings{Kagdi07,
  title = {Improving change prediction with fine-grained source code mining},
  author = {Huzefa H. Kagdi},
  year = {2007},
  doi = {10.1145/1321631.1321742},
  url = {http://doi.acm.org/10.1145/1321631.1321742},
  tags = {source-to-source, peer-to-peer, open-source},
  researchr = {https://researchr.org/publication/Kagdi07},
  cites = {0},
  citedby = {0},
  pages = {559-562},
  booktitle = {22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007), November 5-9, 2007, Atlanta, Georgia, USA},
  editor = {R. E. Kurt Stirewalt and Alexander  Egyed and Bernd  Fischer},
  publisher = {ACM},
  isbn = {978-1-59593-882-4 },
}