Massimo Mecella

Accepted Papers at CAiSE'25

Papers by Massimo Mecella

Assessing the Suitability of Large Language Models in Generating UML Class Diagrams as Conceptual Models

Marco Calamo, Massimo Mecella, and Monique Snoeck

Track: EMMSAD 2025

Session: Session 1: AI-Driven Modeling and Analysis

Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation

Robin D. Pesl, Jerin George Mathew, Massimo Mecella, and Marco Aiello

Track: CAiSE 2025 - Main

Section: System architecture and privacy