Centro de investigación
Analizar y documentar la salud de Internet y la IA fiable para ayudar a dar forma a una Internet centrada en los humanos.
Investigaciones más recientes
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A Comparison of Conversational Models and Humans in Answering Technical Questions: the Firefox Case
16 de enero de 2026Marco Castelluccio, Daniel Coutinho, Anita Sarma, Marco Gerosa, Caio Barbosa, Alessandro Garcia, Igor Steinmacher, Joao CorreiaThe study evaluates Retrieval-Augmented Generation (RAG) with LLMs for assisting Mozilla Firefox developers by comparing human responses, standard LLM, and RAG-enhanced LLM on real developer queries.
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Automated Generation of Issue-Reproducing Tests by Combining LLMs and Search-Based Testing
16 de enero de 2026Alberto Bacchelli, Marco Castelluccio, Konstantinos KitsiosThe paper introduces BLAST, a tool that combines large language models with search-based software testing to automatically generate issue-reproducing tests from issue-patch pairs, addressing the common absence of such tests in practice.
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Using LLMs to Bridge the Gaps in QA Test Plans at Firefox
16 de enero de 2026Suhaib Mujahid, Marco Castelluccio, John Pangas, Ahmad AbdellatifThe study explores using LLMs to automatically generate test plans for Firefox features, aiming to reduce the manual effort and blind spots in traditional QA planning.
