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Maria Teresa Rossi

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Book Open access Oct 2026

Assessing Capabilities of Large Language Models for Multi-Level Modeling

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. · 0 citations
Book Open access Oct 2026

Large Language Models Assistance in core Model-Driven Engineering activities

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 · 1 citation
Preprint Aug 2026

Generation of Web Apps with Agentic IDEs: An Empirical Assessment

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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