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, Rasmita^Aff1, Misra, Sanjay^{Aff2, IDs10586026059656_cor1}, Kumar, Lov^Aff3
Πηγή:	Cluster Computing: The Journal of Networks, Software Tools and Applications. 29(4)
Βάση Δεδομένων:	Springer Nature Journals

Περιγραφή
ISSN:	13867857 15737543
DOI:	10.1007/s10586-026-05965-6