Karl Groves
Data Mining Accessibility
#1about 4 minutes
How large-scale data was collected for accessibility research
The research methodology involved analyzing 14.6 million errors from 6 million URLs to establish a statistically significant dataset.
#2about 8 minutes
Common accessibility issues found through automated testing
Automated analysis reveals that 90% of issues fall into five categories, with missing alt text and navigation problems being the most frequent.
#3about 9 minutes
Analyzing the results of manual accessibility audits
Manual audits on representative samples show that keyboard accessibility and color contrast are top issues, with nearly half being high-severity problems.
#4about 8 minutes
The strong correlation between automated and manual testing
Data shows a significant overlap between automated and manual test findings, with seven of the top ten failing success criteria being identical.
#5about 3 minutes
Why testing before deployment is twice as effective
Pages tested before deployment have less than half as many issues as those tested after, proving the ineffectiveness of a reactive audit-fix cycle.
#6about 8 minutes
Applying extreme programming principles to accessibility
Sustainable accessibility is achieved by integrating practices like early automation, specific acceptance tests, pair programming, and treating accessibility as a core quality problem.
#7about 17 minutes
Q&A on developer tooling and testing best practices
The discussion covers developer resistance to in-IDE linting, the causes of false positives in tools, and the need for a layered testing strategy.
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