An Old Problem with a New Therapy: Coupling Topic Modeling and Mining Sequential Patterns in Recommending Source Code

Dinh-Thuan Le, Lam-Son Lê, Nam Thoai, Trung-Viet Nguyen. An Old Problem with a New Therapy: Coupling Topic Modeling and Mining Sequential Patterns in Recommending Source Code. In Lam-Son Lê, Tran Khanh Dang, Koichiro Ishibashi, Ngoc Thinh Tran, Cuong Pham-Quoc, Quang Tran Minh, editors, 2018 International Conference on Advanced Computing and Applications, ACOMP 2018, Ho Chi Minh City, Vietnam, November 27-29, 2018. pages 117-124, IEEE Computer Society, 2018. [doi]

@inproceedings{LeLTN18,
  title = {An Old Problem with a New Therapy: Coupling Topic Modeling and Mining Sequential Patterns in Recommending Source Code},
  author = {Dinh-Thuan Le and Lam-Son Lê and Nam Thoai and Trung-Viet Nguyen},
  year = {2018},
  doi = {10.1109/ACOMP.2018.00026},
  url = {https://doi.org/10.1109/ACOMP.2018.00026},
  researchr = {https://researchr.org/publication/LeLTN18},
  cites = {0},
  citedby = {0},
  pages = {117-124},
  booktitle = {2018 International Conference on Advanced Computing and Applications, ACOMP 2018, Ho Chi Minh City, Vietnam, November 27-29, 2018},
  editor = {Lam-Son Lê and Tran Khanh Dang and Koichiro Ishibashi and Ngoc Thinh Tran and Cuong Pham-Quoc and Quang Tran Minh},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-9186-1},
}