Ullah, F., Naeem, M. R., Naeem, H., Xiaochun Cheng, & Alazab, M. (2022). Cro LSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model. International Journal of Intelligent Systems, 37(9), 5768-5795. https://doi.org/10.1002 nt.22813

ULLAH, Farhan, NAEEM, Muhammad Rashid, NAEEM, Hamad, XIAOCHUN CHENG und ALAZAB, Mamoun, 2022. Cro LSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model. International Journal of Intelligent Systems. 1 September 2022. Vol. 37, no. 9, p. 5768-5795. DOI 10.1002 nt.22813.

Ullah, F., M. R. Naeem, H. Naeem, Xiaochun Cheng, und M. Alazab. „Cro LSSim: Cross-Language Software Similarity Detector Using Hybrid Approach of LSA-Based AST-MDrep Features and CNN-LSTM Model.“. International Journal of Intelligent Systems, Bd. 37, Nr. 9, September 2022, S. 5768-95, https://doi.org/10.1002 nt.22813.

Ullah, Farhan/Naeem, Muhammad Rashid/Naeem, Hamad/Xiaochun Cheng/Alazab, Mamoun: Cro LSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model., International Journal of Intelligent Systems 2022, 5768-5795.

Ullah, F., Naeem, M.R., Naeem, H., Xiaochun Cheng und Alazab, M. (2022), „Cro LSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model.“, International Journal of Intelligent Systems, Vol. 37 No. 9, S. 5768-5795.