ALGORITHMS FOR THE IMPLEMENTATION OF THE METHOD OF COMBINED ASSESSMENT OF THE AVAILABILITY OF WEB CONTENT

UDC 004.738.5

Ignatkova Yanina Alekseevna – master’s degree student, the Department of Information Systems and Technologies. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: ignatkova.yanina@gmail.com

Shut’ko Nadezhda Pavlovna – PhD (Engineering), Assistant Professor, the Department of Informatics and Web Design. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: NPCh@belstu.by

DOI: https://doi.org/ 10.52065/2520-6141-2024-284-11.

Key words: accessibility of web content, automation of testing, usability, methods, and algorithms.

For citation: Ignatkova Ya. A., Shut’ko N. P. Algorithms for the implementation of the method of combined assessment of the availability of web content. Proceedings of BSTU, issue 3, Physics and Mathematics. Informatics, 2024, no. 2 (284), pp. 80–88 (In Russian). DOI: 10.52065/2520-6141-2024-284-11.

Abstract

The article discusses a method for combined assessment of web content accessibility based on combining the logic of automated and manual testing of web resources. This method can significantly reduce the time required to test resource accessibility, as well as minimize the costs of its implementation. The combined approach provides a more accurate and detailed assessment that takes into account various aspects of accessibility and usability. The implementation of the proposed method can improve the quality of web content, making it more inclusive for users with disabilities. In the context of the method, groups of accessibility assessment criteria are identified and their weighting factors are determined. A formula for calculating the weighting factors is presented, based on ranking groups by a number of selected parameters. Formulas are derived for calculating the criterion coefficients, the number of exceptional situations, assessments by criterion and by group. The logic of the presented method is reflected in four algorithms for its implementation. The basic algorithm includes six stages: obtaining a file or a link to a resource, selecting test groups and recalculating their coefficients, determining the type of test for each group, testing the selected type, recalculating the coefficients and calculating the final value for the group, calculating the final score. Three additional algorithms describe the logic of conducting the types of testing: manual, automatic and semi-automatic. The manual testing algorithm includes the stages of outputting questions for testing, processing the results, determining the number of exceptional situations and saving the results. The automatic testing algorithm is similar to the manual one, but the stages of outputting questions and processing answers are replaced by a request and processing of data from the resource. The basic logic of the semi-automatic testing algorithm is to automatically collect data on the characteristics of the web page, process them and transfer them to the tester for verification.

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