Avaliação automatizada de acessibilidade visual no Sistema de Gestão de Extensão da Universidade Federal do Ceará

Abstract

This research investigated the visual accessibility of the Extension Management System of the Federal University of Ceará by analyzing its compliance with the Web Content Accessibility Guidelines 2.1 and the Accessibility Model for Electronic Government. The system, developed in partnership between the Dean of Extension and the Software Reengineering and Development Center, serves a diverse audience that includes individuals with visual impairments, making the verification of its digital accessibility requirements essential. The research is characterized as quantitative, descriptive, and evaluative, conducted through automated assessment using the tools WAVE, axe DevTools, and Lighthouse, applied to ten system screens under a standard authenticated user profile. The results showed that none of the evaluated screens achieved full compliance with the analyzed guidelines, revealing a systematic pattern of violations that includes the absence of the page language attribute, images lacking alternative text, links and buttons without accessible descriptions, insufficient contrast between text and background, form fields without labels, inconsistent heading hierarchy, and the absence of landmark regions for navigation. Lighthouse scores ranged from 64 to 79, reflecting unsatisfactory levels of compliance across all interfaces. Based on the findings, improvement recommendations were developed, organized by violation type, with technical guidance for adapting the Extension Management System to digital accessibility best practices. This study is expected to contribute to the improvement of the evaluated system and to the promotion of inclusion and digital autonomy within the university environment.