Academic Journal

Investigating the effectiveness of abstract syntax tree for refactoring prediction at class level using LSTM

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Investigating the effectiveness of abstract syntax tree for refactoring prediction at class level using LSTM
Συγγραφείς: Panigrahi, RasmitaAff1, Misra, SanjayAff2, IDs10586026059656_cor1, Kumar, LovAff3
Πηγή: Cluster Computing: The Journal of Networks, Software Tools and Applications. 29(4)
Βάση Δεδομένων: Springer Nature Journals