On the validity of pre-trained transformers for natural language processing in the software engineering domain
dc.contributor.author | von der Mosel, Julian | |
dc.contributor.author | Trautsch, Alexander | |
dc.contributor.author | Herbold, Steffen | |
dc.contributor.editor | Engels, Gregor | |
dc.contributor.editor | Hebig, Regina | |
dc.contributor.editor | Tichy, Matthias | |
dc.date.accessioned | 2023-01-18T13:38:46Z | |
dc.date.available | 2023-01-18T13:38:46Z | |
dc.date.issued | 2023 | |
dc.description.abstract | We summarize the article On the validity of pre-trained transformers for natural language processing in the software engineering domain [VTH22], which was published in the IEEE Transactions on Software Engineering in 2022. | en |
dc.identifier.isbn | 978-3-88579-726-5 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/40099 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Software Engineering 2023 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-332 | |
dc.subject | Defect Prediction | |
dc.subject | Costs | |
dc.subject | Return On Investment | |
dc.title | On the validity of pre-trained transformers for natural language processing in the software engineering domain | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 94 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 93 | |
gi.conference.date | 20.–24. Februar 2023 | |
gi.conference.location | Paderborn | |
gi.conference.sessiontitle | Wissenschaftliches Hauptprogramm |
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