Automatic detection of technical debt in large-scale java codebases: a multi-model deep learning methodology for enhanced software quality
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Mar 25, 2025
About this article
Article Category: Research Article
Published Online: Mar 25, 2025
Received: Jan 10, 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