Panigrahi, R., Misra, S., & Kumar, L. (2026). Investigating the effectiveness of abstract syntax tree for refactoring prediction at class level using LSTM. Cluster Computing: The Journal of Networks, Software Tools and Applications, 29(4), . https://doi.org/10.1007/s10586-026-05965-6
Παραπομπή σε μορφή Chicago (17η εκδ.)Panigrahi, Rasmita, Sanjay Misra, και Lov Kumar. "Investigating the Effectiveness of Abstract Syntax Tree for Refactoring Prediction at Class Level Using LSTM." Cluster Computing: The Journal of Networks, Software Tools and Applications 29, no. 4 (2026). https://doi.org/10.1007/s10586-026-05965-6.
Παραπομπή σε μορφή MLA (9th εκδ.)Panigrahi, Rasmita, et al. "Investigating the Effectiveness of Abstract Syntax Tree for Refactoring Prediction at Class Level Using LSTM." Cluster Computing: The Journal of Networks, Software Tools and Applications, vol. 29, no. 4, 2026, https://doi.org/10.1007/s10586-026-05965-6.