The subject of the study is the methods and tools for automated web accessibility testing of user interfaces, as well as ways to systematize them based on the depth of analysis. The object of the study is the process of automated evaluation of web interfaces’ accessibility. The work examines modern tools for checking web accessibility and their specific features when analyzing compliance with web accessibility standards. The author thoroughly explores aspects of the topic such as differences between automated testing tools, their level of automation, and their capabilities for analyzing different types of web content. Special attention is paid to the analysis of the coverage of user interface elements. The study also considers the features of tools when testing dynamic interaction scenarios and complex web page structures. Existing solutions are systematized within the work. Tools such as WAVE, TAW, aXe, and Bobby, as well as several research-oriented solutions, are analyzed. Examination of these tools allows for identifying differences in the depth of analysis and determining their capabilities in automated web accessibility evaluation. The research methodology is based on the development of a quantitative indicator for the depth of analysis of web accessibility tools. To evaluate the effectiveness of the tools, a system of criteria is used, including interface coverage, the level of automation of testing, and the complexity of analysis. The weight coefficients of the criteria are determined using Saaty’s Analytic Hierarchy Process (AHP). The novelty of the study lies in the development of an indicator for the depth of analysis of automated web accessibility testing tools, enabling their comparative evaluation. A particular contribution of the author is the development of a mathematical model that combines the criteria into a single indicator. The main conclusions of the study lie the comparative analysis of modern web accessibility testing tools. Based on the developed indicator, the tools are systematized into three groups: with low, medium, and high depth of analysis. The results demonstrate differences in the functional capabilities of existing solutions and allow for determining their effectiveness in evaluating web interfaces. The proposed approach can be used by web accessibility specialists when selecting tools for interface analysis and improving the quality of digital accessibility of web resources.
Dar'ya Andreevna Shil'nikova (Thu,) studied this question.