2.4 KiB
2.4 KiB
tags:: #todoist-task, #invitedtalk, PROJECTS/MOSAICO date:: 28-09-2025 - 18:24 email:: ✉: Web Link progress:: {{renderer :todomaster}}
- ### Tasks
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- ### Notes
- Il talk si farà il [[16-11-2025]]
- **Title**: From PromptWare to AgentWare: Multi-Agent Systems for Reliable AI in Software Engineering
- **Abstract**: Software development is rapidly evolving from traditional coding practices to new paradigms where Large Language Models (LLMs) and agentic AI play a central role. After the emergence of PromptWare, we are now entering the AgentWare era, where multi-agent systems (MAS) collaborate to design, implement, and validate software. This talk explores the opportunities and challenges of LLM-based multi-agent systems in software engineering. I will illustrate how multiple AI agents can cooperate, complement each other's strengths, and be governed under human supervision to increase reliability, transparency, and trust in AI-assisted development. Special emphasis will be given to the MOSAICO Horizon Europe project (https://mosaico-project.eu/), which is building a platform for managing, orchestrating, and supervising AI agents tailored to software engineering tasks. The talk will present examples, insights from existing MAS frameworks, and future research directions on governance and quality assessment in AI-driven software engineering.
- **Short bio**: Davide Di Ruscio is a Full Professor of Computer Science at the University of L’Aquila, Italy, where he also serves as Director of the PhD Program in Information and Communication Technology. His research interests include software engineering, model-driven engineering (MDE), and the application of artificial intelligence to software development. He has contributed to several European and national research projects, most recently MOSAICO, a Horizon Europe project on multi-agent systems for software engineering. He has co-authored numerous publications in top-tier international venues and has been actively involved in conference organization and editorial activities. His current work focuses on how generative AI and multi-agent systems can transform the engineering of software systems.