Towards Automatically Extracting UML Class Diagrams from Natural Language Specifications
October 26, 2022 Β· Declared Dead Β· π ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
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Authors
Song Yang, Houari Sahraoui
arXiv ID
2210.14441
Category
cs.SE: Software Engineering
Cross-listed
cs.IR
Citations
35
Venue
ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
Last Checked
4 months ago
Abstract
In model-driven engineering (MDE), UML class diagrams serve as a way to plan and communicate between developers. However, it is complex and resource-consuming. We propose an automated approach for the extraction of UML class diagrams from natural language software specifications. To develop our approach, we create a dataset of UML class diagrams and their English specifications with the help of volunteers. Our approach is a pipeline of steps consisting of the segmentation of the input into sentences, the classification of the sentences, the generation of UML class diagram fragments from sentences, and the composition of these fragments into one UML class diagram. We develop a quantitative testing framework specific to UML class diagram extraction. Our approach yields low precision and recall but serves as a benchmark for future research.
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