Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers Daniel Skryseth Karthik Shivashankar Ildikó Pilán Antonio Martini Publikasjonsdetaljer Del av: Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt) (IEEE (Institute of Electrical and Electronics Engineers), 2023) Sider: 92–101–9 År: 2023 Lenke: DOI: doi.org/10.1109/TechDebt59074.2023.00017 Ildikó Pilán Seniorforsker Du er her: Hjem Publikasjoner Vitenskapelig Kapittel/Artikkel/Konferanseartikkel Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers
