无障碍元测试：比较九种测试工具
Accessibility Metatesting: Comparing Nine Testing Tools
AI总结：
通过用九种无障碍测试工具测试121个网页，发现各工具高度互补且重复率低，证明同时使用全部工具比任何子集都能发现更多问题。
摘要：
自动化网页无障碍测试工具已被发现具有互补性。其含义是：为了尽可能多地发现问题，应使用多种工具。高效地做到这一点需要承担集成成本。是否存在一小组工具，将它们组合起来后可以使其他工具变得多余？我通过比较九种适合集成的综合性无障碍测试工具来研究这个问题：alfa、axe-core、Continuum、Equal Access、HTML CodeSniffer、Nu Html Checker、QualWeb、Tenon 和 WAVE。我用这些工具测试了 121 个对 CVS Health 有意义的网页。每个工具仅与其他任一工具有少量重复。每个工具都发现了大量被所有其他工具遗漏的问题实例。因此，使用全部九种工具进行测试比使用任何子集进行测试都能提供显著更多的信息。
英文摘要：
Automated web accessibility testing tools have been found complementary. The implication: To catch as many issues as possible, use multiple tools. Doing this efficiently entails integration costs. Is there a small set of tools that, together, make additional tools redundant? I approach this problem by comparing nine comprehensive accessibility testing tools that are amenable to integration: alfa, axe-core, Continuum, Equal Access, HTML CodeSniffer, Nu Html Checker, QualWeb, Tenon, and WAVE. I tested 121 web pages of interest to CVS Health with these tools. Each tool only fractionally duplicated any other tool. Each discovered numerous issue instances missed by all the others. Thus, testing with all nine tools was substantially more informative than testing with any subset.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
