University of Évora releases theses on elderly respiratory self‑care and AI‑driven software engineering

The University of Évora's digital repository has added two recent theses. One, authored by Telma Cristina Mendes Nunes Branco, investigates self‑care strategies for elderly people with respiratory conditions in home settings, highlighting improvements in dyspnoea, muscle strength, balance and exercise tolerance through rehabilitation nursing interventions. The other, by Ricardo Manuel Lopes Pereira, examines artificial intelligence as a co‑author in software engineering, demonstrating how language‑model tools such as GitHub Copilot and OutSystems Mentor can generate code, design architectures and support complex technical decisions, signalling a shift toward collaborative human‑machine development.

Both works aim to provide evidence‑based guidance for their respective fields and illustrate the expanding role of digital research outputs from the university.