Automatic detection of accessibility issues from user interaction events

• Maximiliano Jonathan Toledo LIFIA / UNLP
• Julián Grigera LIFIA / UNLP / CONICET
• Alejandra Garrido LIFIA / UNLP / CONICET

DOI: https://doi.org/10.5753/cibse.2022.20968

Abstract

Many activities of our daily life are integrated into web applications, which must be accessible to all users. For this reason, it is essential to incorporate accessibility into the development process. To facilitate this integration and the detection of accessibility problems, in this work an automatic tool for the detection and reporting of this type of problem called ABF (Accessibility BadSmells Finder) was developed. It seeks to help developers provide accessible websites, thanks to the fact that it performs dynamic searches for various accessibility problems that are not detected by other tools due to the complexity of their detection.

Keywords: Bad Smell, Web applications, Accessibility, Dynamic event analysis

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