Pisco: A Computational Approach to Predict Personality Types from Java Source Code

Matthias Liebeck, Pashutan Modaresi, Alexander Askinadze, Stefan Conrad 0001. Pisco: A Computational Approach to Predict Personality Types from Java Source Code. In Prasenjit Majumder, Mandar Mitra, Parth Mehta 0001, Jainisha Sankhavara, Kripabandhu Ghosh, editors, Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, December 7-10, 2016. Volume 1737 of CEUR Workshop Proceedings, pages 43-47, CEUR-WS.org, 2016. [doi]

@inproceedings{LiebeckMA016,
  title = {Pisco: A Computational Approach to Predict Personality Types from Java Source Code},
  author = {Matthias Liebeck and Pashutan Modaresi and Alexander Askinadze and Stefan Conrad 0001},
  year = {2016},
  url = {http://ceur-ws.org/Vol-1737/T1-8.pdf},
  researchr = {https://researchr.org/publication/LiebeckMA016},
  cites = {0},
  citedby = {0},
  pages = {43-47},
  booktitle = {Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, December 7-10, 2016},
  editor = {Prasenjit Majumder and Mandar Mitra and Parth Mehta 0001 and Jainisha Sankhavara and Kripabandhu Ghosh},
  volume = {1737},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}