Enhancing Multi-Class Classification of Non-Functional Requirements Using a BERT-DBN Hybrid Model

Enhancing Multi-Class Classification of Non-Functional Requirements Using a BERT-DBN Hybrid Model

Background: Software requirements classification is essential to group Non-Functional Requirements (NFR) into several aspects, such as security, usability, performance, and operability. The main challenges in NFR classification are data limitations, text complexity, and high generalization needs. O...

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Bibliographic Details
Main Authors: Badzliana Aqmar Suris, Aris Thobirin, Sugiyarto Surono, Mohamed Naeem Antharathara Abdulnazar
Format: Article
Language:English
Published: Universitas Nusantara PGRI Kediri 2025-07-01
Series:Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi
Subjects:
Natural Language Processing
BERT-DBN
Augmentation Data
Bayesian Optimization
Non Functional Requirements
Online Access:https://ojs.unpkediri.ac.id/index.php/intensif/article/view/24637
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