Generative language models potential for requirement engineering applications: insights into current strengths and limitations

Abstract Traditional language models have been extensively evaluated for software engineering domain, however the potential of ChatGPT and Gemini have not been fully explored. To fulfill this gap, the paper in hand presents a comprehensive case study to investigate the potential of both language mod...

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Bibliografische gegevens

Hoofdauteurs:	Summra Saleem, Muhammad Nabeel Asim, Ludger Van Elst, Andreas Dengel
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Springer 2025-05-01
Reeks:	Complex & Intelligent Systems
Onderwerpen:	Requirement engineering Requirements extraction Requirements classification Named entity recognition Question answering system Generative language models
Online toegang:	https://doi.org/10.1007/s40747-024-01707-6
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