Reviews

Search results

• Active Learning for Web Accessibility Evaluation

  Mengni Zhang, Can Wang, Zhi Yu, Chao Shen, Jiajun Bu · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  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 sampling methods (ad hoc,…

  accessibility evaluation · machine learning · active learning · web accessibility · automated testing

• An Optimal Sampling Method for Web Accessibility Quantitative Metric

  Mengni Zhang, Can Wang, Jiajun Bu, Zhi Yu, Yi Lu, Ruijie Zhang, Chun Chen · 2015 · Proceedings of the 12th International Web for All Conference (W4A 2015)

  This short paper proposes OPS-WAQM, an optimal page sampling method specifically designed for use with the Web Accessibility Quantitative Metric (WAQM) when evaluating large websites. The core problem is that evaluating every page of a large website for accessibility is…

  accessibility evaluation · sampling methods · accessibility metrics · WAQM · large-scale evaluation

• Effects of sampling methods on web accessibility evaluations

  Giorgio Brajnik, Andrea Mulas, Claudia Pitton · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '07)

  Brajnik, Mulas, and Pitton's Assets '07 paper is a large, careful empirical investigation of the sampling step in web-accessibility evaluation — the step at which an evaluator picks which pages of a site to actually test. For any site above a trivial size, full coverage is…

  web accessibility · accessibility evaluation · sampling methods · accessibility metrics · conformance testing

3 results.