Automatic detection of technical debt in large-scale java codebases: a multi-model deep learning methodology for enhanced software quality
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25 mar 2025
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Categoria dell'articolo: Research Article
Pubblicato online: 25 mar 2025
Ricevuto: 10 gen 2025
DOI: https://doi.org/10.2478/ijssis-2025-0012
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© 2025 Dr. Pooja Bagane et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Bagane, Pooja
Department of Computer Science and Engineering, Symbiosis Institute of Technology-Pune Campus, Symbiosis International (Deemed University)Pune, India
Sengar, Chahak
Department of Computer Science and Engineering, Symbiosis Institute of Technology-Pune Campus, Symbiosis International (Deemed University)Pune, India
Dongre, Sumedh
Department of Computer Science and Engineering, Symbiosis Institute of Technology-Pune Campus, Symbiosis International (Deemed University)Pune, India
Prabhakar, Siddharth
Department of Computer Science and Engineering, Symbiosis Institute of Technology-Pune Campus, Symbiosis International (Deemed University)Pune, India
Jebessa, Obsa Amenu
Department of Information Technology, Jimma Institute of TechnologyJimma, Ethiopia