# Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers

- **År:** 2023
- **Type:** Vitenskapelig (NVA: AcademicChapter)
- **Publiseringssted:** Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt)
- **Forfattere:** Daniel Skryseth, Karthik Shivashankar, Ildikó Pilán, Antonio Martini
- **DOI:** https://doi.org/10.1109/TechDebt59074.2023.00017
- **Open access:** https://doi.org/10.1109/TechDebt59074.2023.00017
- **Cristin:** https://app.cristin.no/results/show.jsf?id=2250304

## Forskere med profil på nettstedet
- [Antonio Martini](https://research.lab.knowit.no/people/#antonio-martini) ([markdown](https://research.lab.knowit.no/people/antonio-martini.md))
- [Karthik Shivashankar](https://research.lab.knowit.no/people/#karthik-shivashankar) ([markdown](https://research.lab.knowit.no/people/karthik-shivashankar.md))

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