Using dynamic and contextual features to predict issue lifetime in GitHub projects

Riivo Kikas, Marlon Dumas, Dietmar Pfahl. Using dynamic and contextual features to predict issue lifetime in GitHub projects. In Miryung Kim, Romain Robbes, Christian Bird, editors, Proceedings of the 13th International Conference on Mining Software Repositories, MSR 2016, Austin, TX, USA, May 14-22, 2016. pages 291-302, ACM, 2016. [doi]

@inproceedings{KikasDP16,
  title = {Using dynamic and contextual features to predict issue lifetime in GitHub projects},
  author = {Riivo Kikas and Marlon Dumas and Dietmar Pfahl},
  year = {2016},
  doi = {10.1145/2901739.2901751},
  url = {http://doi.acm.org/10.1145/2901739.2901751},
  researchr = {https://researchr.org/publication/KikasDP16},
  cites = {0},
  citedby = {0},
  pages = {291-302},
  booktitle = {Proceedings of the 13th International Conference on Mining Software Repositories, MSR 2016, Austin, TX, USA, May 14-22, 2016},
  editor = {Miryung Kim and Romain Robbes and Christian Bird},
  publisher = {ACM},
  isbn = {978-1-4503-4186-8},
}