Predicting User Satisfaction in Software Projects using Machine Learning Techniques

Lukasz Radlinski. Predicting User Satisfaction in Software Projects using Machine Learning Techniques. In Raian Ali, Hermann Kaindl, Leszek A. Maciaszek, editors, Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020, Prague, Czech Republic, May 5-6, 2020. pages 374-381, SCITEPRESS, 2020. [doi]

@inproceedings{Radlinski20,
  title = {Predicting User Satisfaction in Software Projects using Machine Learning Techniques},
  author = {Lukasz Radlinski},
  year = {2020},
  doi = {10.5220/0009391803740381},
  url = {https://doi.org/10.5220/0009391803740381},
  researchr = {https://researchr.org/publication/Radlinski20},
  cites = {0},
  citedby = {0},
  pages = {374-381},
  booktitle = {Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020, Prague, Czech Republic, May 5-6, 2020},
  editor = {Raian Ali and Hermann Kaindl and Leszek A. Maciaszek},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-421-3},
}