Article

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation

2025-06-19

Abstract excerpt

<title>Abstract</title> <p>Automating the enrichment of UML class diagrams with behavioral methods from natural language use cases is a significant challenge. This study evaluates nine large language models (LLMs) in augmenting a methodless UML diagram (21 classes, 17 relationships) using 21 structured waste-management use cases. A total of 90 diagrams (3,373 methods) were assessed across six metrics: method quan...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f963ec80-3c30-585b-a5d8-44ab7ba0054a
DOI: 10.21203/rs.3.rs-6793290/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method GenerationDOI 10.21203/rs.3.rs-6793290/v1Read

Students-Centric Evaluation Survey for Exploring the Impact of LLMs on UML ModelingSemantic proximity Read

LLM-Based Test Case Generation from Natural-Language Requirements: A Verified Multi-Domain Empirical Study with Symbolic Mutation IndicatorsSemantic proximity Read

A Reference Framework for Empirical Studies on LLM-Based Code Generation: A Review-Grounded SynthesisSemantic proximity Read

AiDER: Auditing and Document Evaluation via Rule Compilation and Small Language Models - An Education Case StudySemantic proximity Read

SAMF: SAWANT (Structured Agentic Workflow for Alignment, Validation, and Negotiated Testing) for Reliable, Safe, and Verifiable LLM PromptingSemantic proximity Read

Intent-Driven Code Synthesis: Redefining Software Development with TransformersSemantic proximity Read

Cross-Domain Tuple and Random Collision GuidedApproach for Creative Requirement GenerationUsing LLMSemantic proximity Read

AI-Driven Full–stack Software Development: Transforming Designs and Natural Language into High-Quality ApplicationsSemantic proximity Read

From Requirements to Production: Governing AI-Assisted Software Delivery through a Canonical Requirements ModelSemantic proximity Read

Benchmarking Large Language Models for Data Pipeline Code Generation and ExecutionSemantic proximity Read

Experiences and Challenges in AI-Driven Modular Software Development Using Large Language Models for Code GenerationSemantic proximity Read

LocalLLM-DataForge: A Modular Framework for Synthetic User Story Decomposition with Local LLMs and LLM-as-a-Judge EvaluationSemantic proximity Read