| KEYWORD |
DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG
Large Language Models to evaluate UML diagrams
keywords UML
Reference persons RICCARDO COPPOLA
Research Groups DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG
Thesis type RESEARCH
Description The thesis proposal focuses on leveraging Large Language Models (LLM), e.g. OpenAI or ChatGPT, to enhance the evaluation of UML (Unified Modeling Language) models.
Specifically, the work aims to explore how advanced language models can be employed to analyze the quality and coherence of UML diagrams, identifying any ambiguities or conceptual errors.
Through the use of natural language processing and machine learning techniques, the research aims to develop innovative tools that can assist developers in the software design and maintenance process, thereby contributing to raising the quality standards in UML-based projects.
Required skills good knowledge of UML modeling techniques
Deadline 13/10/2024
PROPONI LA TUA CANDIDATURA