CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model

Farhan Ullah, Muhammad Rashid Naeem, Hamad Naeem, Xiaochun Cheng, Mamoun Alazab. CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model. Int. J. Intell. Syst., 37(9):5768-5795, 2022. [doi]

@article{UllahNNCA22,
  title = {CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model},
  author = {Farhan Ullah and Muhammad Rashid Naeem and Hamad Naeem and Xiaochun Cheng and Mamoun Alazab},
  year = {2022},
  doi = {10.1002/int.22813},
  url = {https://doi.org/10.1002/int.22813},
  researchr = {https://researchr.org/publication/UllahNNCA22},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Intell. Syst.},
  volume = {37},
  number = {9},
  pages = {5768-5795},
}