Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
97 results found tagged automated testing.
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DOM block clustering for enhanced sampling and evaluation
This paper addresses a fundamental challenge in web accessibility evaluation: large websites with thousands or tens of thousands of pages are practically impossible to fully evaluate, yet current sampling methods (random, best-guess, or convenience s…
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Creating accessible PDFs for conference proceedings
This paper investigates the accessibility of PDF research papers published at major ACM conferences related to accessibility and human-computer interaction. The authors conducted a two-part analysis: first, an automated accessibility check of 1,811 p…
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Comparing Accessibility Evaluation Plug-ins
This paper from the University of Lisbon systematically compares eight free Chrome browser extensions for automated accessibility evaluation: Microsoft Accessibility Insights, ACCESS Assistant Community, ARC Toolkit, aXe Chrome Plugin, Lighthouse, Te…
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Development technologies impact in web accessibility
This study investigates whether the choice of web development technologies—programming languages, web frameworks, JavaScript frameworks, and content management systems—has a measurable impact on the accessibility of resulting web pages. The researche…
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Measuring the Impact of Automated Evaluation Tools on Alternative Text Quality: A Web Translation Study
This paper presents the first empirical study on web accessibility conducted around a translation task, investigating how automated evaluation tools affect the quality of image text alternatives produced by web translators. Twenty-eight professional …
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A Task Assignment Strategy for Crowdsourcing-Based Web Accessibility Evaluation System
This paper addresses a practical challenge in scaling web accessibility evaluation: how to effectively assign manual evaluation tasks to volunteer crowdsource workers with varying levels of expertise. While automated tools can check many accessibilit…
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Active Learning for Web Accessibility Evaluation
This paper introduces "active-prediction," a semi-supervised machine learning method that addresses a fundamental bottleneck in web accessibility evaluation: the prohibitive cost of evaluating all pages in a large website. Current practice relies on …
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Reliability Aware Web Accessibility Experience Metric
This paper introduces RA-WAEM (Reliability Aware Web Accessibility Experience Metric), a novel approach to measuring website accessibility that incorporates actual user experience from people with disabilities while accounting for the varying reliabi…
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Semantic Content Analysis Supporting Web Accessibility Evaluation
This paper addresses a fundamental limitation of automated web accessibility evaluation tools: their inability to assess whether text alternatives actually describe the content they refer to. While tools can detect the presence of an alt attribute on…
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Using Ontologies as a Foundation for Web Accessibility Tools
This extended abstract proposes using formal ontologies — machine-readable knowledge representations using languages like OWL (Web Ontology Language) — as the foundation for web accessibility tools, addressing two major problems: supporting developer…