Automated Accessibility Testing
summary
Claim: common automated tools (axe, Lighthouse, Pa11y/HTML_CodeSniffer, Accessibility Insights) catch only about 20–30% coverage of WCAG failures (axe advertises ~57% while experts report 0–13.5%). Demonstrations use a React example app with unit and end-to-end tests (vitest/Jest style, testing-library, Playwright) that add specific checks: a keyboard navigation test (Tab focus order), role assertions via aria semantics, and a layout check by setting font-size 200% and comparing clientHeight vs scrollHeight. AI can generate tests and help recognize visuals but cannot fully auto‑fix context‑dependent accessibility.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:07What is accessibility
- 5:23Automated testing tools
- 10:19Writing accessibility tests
- 14:31Beyond automated tools
- 25:50Manual testing guidance
- 26:10AI and accessibility
- 32:33Summary and resources
related talks
35mAutomated Accessibility Testing
30mTesting Web Accessibility
44mTesting Web Accessibility
56mAccessibility Testing 101
43mLucky Nkosi: A11y Beyond the Theory: Integrating Accessibility Testing into Your Workflow
21mTesting A11y: Validating Web App Accessibility
29mBuilding Accessibility Testing into Your Workflow
45mTips from the Trenches: Accessibility Testing
