Automatic Identification of Widgets and their Subcomponents Based on a Classification Pipeline for DOM Mutation Records
Eduardo Henrique Rizo, Renata Pontin de Mattos Fortes, Humberto Lidio Antonelli, Willian Massami Watanabe · 2019 · Proceedings of the 16th International Web for All Conference (W4A)
This paper presents a machine learning pipeline for automatically classifying web widgets (specifically dropdown menus) and their subcomponents by analyzing DOM mutation records — the dynamic changes that occur in a web page's HTML structure when users interact with it or visual…
WAI-ARIA · machine learning · web accessibility · automated testing · widgets