Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
WEB FRAMEWORKS AND ACCESSIBILITY: AN EMPIRICAL ANALYSIS AND AI-POWERED DEVELOPMENT SOLUTION
Download
Web_Frameworks_and_Accessibility__An_Empirical_Analysis_and_AI_Powered_Development_Solution (9).pdf
Date
2025-8-22
Author
Babayev, Javid
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
111
views
0
downloads
Cite This
Web accessibility is crucial for inclusive design, yet the role of web frameworks in facilitating accessibility remains understudied. This research addresses this gap through a three-pronged approach. First, we analyzed accessibility documentation of ten popular web frameworks, finding that only ASP.NET Core offers integrated, up-to-date guidance with accessibility-focused examples. Second, we evaluated 621 websites (15,525 pages) built with React, Angular, and Vue using automated testing. Statistical analysis revealed no significant accessibility differences between frameworks, with at least half failing minimum WCAG Level A conformance due to missing image alternatives and unlabeled elements. Lastly, given that missing alternative text was a prevalent violation across most frameworks, we propose an AI-powered accessibility assistance tool in the form of a VS Code extension called Alt Text Helper, that seamlessly integrates into the development workflow and analyzes the code for missing alternative text for images and suggests AI-generated alt-text. The Alt Text Helper extension integrates multiple AI services through a modular architecture. An evaluation study with real developers yielded an exceptional System Usability Scale score of 97, demonstrating excellent usability. These findings reveal that framework choice alone does not determine accessibility outcomes, emphasizing the importance of developer practices. The research demonstrates AI-powered tools' potential to bridge accessibility gaps in web development using web frameworks while maintaining developer productivity, establishing a foundation for future accessibility tooling development.
Subject Keywords
Web Accessibility
,
Web Frameworks
,
WCAG
,
Documentation
,
React
URI
https://hdl.handle.net/11511/116610
Collections
Northern Cyprus Campus, Thesis
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
J. Babayev, “WEB FRAMEWORKS AND ACCESSIBILITY: AN EMPIRICAL ANALYSIS AND AI-POWERED DEVELOPMENT SOLUTION,” M.S. - Master of Science, Middle East Technical University, 2025.