Embracing NLP-Enhanced Word Embeddings for Contextually Enriched Technical Debt Estimation in Software Code Comments: An Empirical Study. Kaur, I., Kumar, L., Singh, V., Mishra, P., & Proksh In OITS International Conference on Information Technology, OCIT 2024, Vijayawada, India, December 12-14, 2024, pages 536–541, 2024. IEEE.
Embracing NLP-Enhanced Word Embeddings for Contextually Enriched Technical Debt Estimation in Software Code Comments: An Empirical Study [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/cit/KaurK0MP24,
  author       = {Ishpreet Kaur and
                  Lov Kumar and
                  Vikram Singh and
                  Pratyush Mishra and
                  Proksh},
  title        = {Embracing NLP-Enhanced Word Embeddings for Contextually Enriched Technical
                  Debt Estimation in Software Code Comments: An Empirical Study},
  booktitle    = {{OITS} International Conference on Information Technology, {OCIT}
                  2024, Vijayawada, India, December 12-14, 2024},
  pages        = {536--541},
  publisher    = {{IEEE}},
  year         = {2024},
  url          = {https://doi.org/10.1109/OCIT65031.2024.00099},
  doi          = {10.1109/OCIT65031.2024.00099},
  timestamp    = {Thu, 05 Jun 2025 14:25:18 +0200},
  biburl       = {https://dblp.org/rec/conf/cit/KaurK0MP24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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