Work

Web application for Generating Entity-Relationship Diagrams with Natural Language Processing

Year: 2024

Type: conference-paper

Abstract: Entity-Relationship (ER) diagrams are widely used in software engineering to model relational databases and serve as semantic representations easily understood by humans. They convey the meaning of data, their relationships, and key modeling concepts. Despite their usefulness, designing ER diagrams requires technical expertise. This work proposes a prototype leveraging natural language processing tools, particularly large language models (LLMs), to simplify and democratize their creation. Using simple prompts, the system generates structured outputs in standard formats that can later be used for ER diagram construction. As a result, a web application was developed, offering a user-friendly interface that reduces time and effort, aiming to make diagram creation more accessible.

DOI: 10.17979/spudc.9788497498913.36

Authors: David Sineiro Barreiro, David Vilares

Institution: Universidade da Coruña

Language: English

Topic: Model-Driven Software Engineering Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Xunta de Galicia, European Regional Development Fund, Agencia Estatal de Investigación

Awards: G1496055848, G2262748287, G3480869486, G3694284866, G425668148, G451917667, G5967599077, G7084143925

OpenAlex ID: W4407425430

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