Large Language Models (LLMs) are increasingly being explored in Model-Driven Engineering as assistants for generating, transforming, and evolving modeling artifacts from natural language descriptions. Existing work, however, has mainly focused on traditional two-level modeling settings, while the applicability of LLMs...
Arianna Fedeli, Ludovico Iovino, Maria Teresa Rossi et al.· Proceedings of the ACM/IEEE...· 0 citations
Recent research explores the use of Large Language Models (LLMs) and conversational agents to enable automation and assist modeling tasks across the Model-Driven Engineering (MDE) lifecycle, including design, model management, and evolution. This paper presents a Systematic Literature Review of 96 peer-reviewed studies...
Arianna Fedeli, Maria Teresa Rossi, Ludovico Iovino· Proceedings of the ACM/IEEE...· 1 citation
A rigorous comparative analysis of three popular agentic IDEs in the generation of five full-stack Web applications from scratch shows that Agentic IDEs cannot replace developers but shift their role toward building software by orchestrating LLM-based agents through natural-language instructions and iterative refinemen...
Manuel Marceca, Maria Teresa Rossi, Leonardo Mariani· 0 citations
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