BERT Fine-Tuning for Software Requirement Classification: Impact of Model Components and Dataset Size

Recent advances in natural language processing (NLP) have enabled the automation of Software Requirements Classification (SRC), particularly through fine-tuning models such as Bidirectional Encoder Representations from Transformers (BERTs). While BERT-based models have shown promising results, the i...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Safaa Eltahier, Omer Dawood, Imtithal Saeed
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-11-01
Serier:	Information
Fag:	requirements engineering software requirements classification functional requirements non-functional requirements BERT fine-tuning
Online adgang:	https://www.mdpi.com/2078-2489/16/11/981
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!