From Data to Human-Readable Requirements: Advancing Requirements Elicitation through Language-Transformer-Enhanced Opportunity Mining

From Data to Human-Readable Requirements: Advancing Requirements Elicitation through Language-Transformer-Enhanced Opportunity Mining

In this research, we present an algorithm that leverages language-transformer technologies to automate the generation of product requirements, utilizing E-Shop consumer reviews as a data source. Our methodology combines classical natural language processing techniques with diverse functions derived...

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Bibliographic Details
Main Authors: Pascal Harth, Orlando Jähde, Sophia Schneider, Nils Horn, Rüdiger Buchkremer
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Algorithms
Subjects:
requirements engineering
requirements elicitation
consumer reviews
online reviews
deep learning
language transformers
Online Access:https://www.mdpi.com/1999-4893/16/9/403

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