Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study

Ke Li, Zilin Xiang, Tao Chen 0001, Shuo Wang, Kay Chen Tan. Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. In Gregg Rothermel, Doo-Hwan Bae, editors, ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June - 19 July, 2020. pages 566-577, ACM, 2020. [doi]

@inproceedings{LiX0WT20,
  title = {Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study},
  author = {Ke Li and Zilin Xiang and Tao Chen 0001 and Shuo Wang and Kay Chen Tan},
  year = {2020},
  doi = {10.1145/3377811.3380360},
  url = {https://doi.org/10.1145/3377811.3380360},
  researchr = {https://researchr.org/publication/LiX0WT20},
  cites = {0},
  citedby = {0},
  pages = {566-577},
  booktitle = {ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June - 19 July, 2020},
  editor = {Gregg Rothermel and Doo-Hwan Bae},
  publisher = {ACM},
  isbn = {978-1-4503-7121-6},
}