From user requirements to UML class diagram
Hatem Herchi, Wahiba Ben Abdessalem

TL;DR
This paper presents an approach that leverages NLP techniques and domain ontology to automatically extract UML class diagrams from large textual user requirements, simplifying the modeling process.
Contribution
It introduces a novel method combining NLP and domain ontology to automate UML class diagram extraction from textual requirements.
Findings
Effective extraction of class diagrams from large texts
Reduction in manual effort for UML modeling
Improved accuracy in representing user requirements
Abstract
The transition from user requirements to UML diagrams is a difficult task for the designer especially when he handles large texts expressing these needs. Modeling class Diagram must be performed frequently, even during the development of a simple application. This paper proposes an approach to facilitate class diagram extraction from textual requirements using NLP techniques and domain ontology.
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Taxonomy
TopicsWeb Applications and Data Management · Software Engineering Research · Model-Driven Software Engineering Techniques
