Andrea Lops
Andrea Lops is a software engineer specializing in Machine Learning and software development at Wideverse, an innovative spin-off of the Polytechnic University of Bari. Currently pursuing a PhD in Electrical and Information Engineering, Andrea focuses his research on Large Language Models (LLM) and the automation of the software development life cycle, specifically in software testing.
With a lot of experience in designing mobile and web solutions, Andrea has implemented technology solutions adopted by the public administration and the private sector. He has also held leadership and training roles, including managing the Google Developer Student Club at Bari Polytechnic University.
Andrea is an enthusiastic advocate of digital innovation and technical education, providing consulting services in a variety of national and international settings. His passion for technology drives him to continuously explore and implement innovative solutions to real-world challenges, with an eye always on the future of artificial intelligence and software engineering.
Software Engineer
Your company –Wideverse srl
Session
Automated UI testing is essential but notoriously fragile, often failing to keep pace with rapidly evolving interfaces and documentation. In this talk, we introduce a novel multi-agent architecture that leverages large language models (LLMs) to transform static documentation into dynamic, executable UI tests—without writing code. Our system extracts structured user journeys from product manuals, refines them into atomic tasks using LLM agents, and executes them autonomously in live browser environments.
This talk is for developers, QA engineers, and AI practitioners building or maintaining test automation pipelines in enterprise environment. Attendees will gain insights into architecting LLM-powered agents for structured extraction, and improving test resilience. We'll explore how this system achieves high execution accuracy and adaptive self-correction, even under ambiguous or incomplete specs.