An optimal sampling method for web accessibility quantitative metric and its online extension
Datos Bibliográficos
| ID | 12420822 |
|---|---|
| Autores | Mengni Zhang (0000-0001-7437-5209, Zhejiang University, autor de correspondencia), Can Wang (0000-0003-3759-3543, Zhejiang University), Jiajun Bu (0000-0002-1097-2044, Zhejiang University), Liangcheng Li (0000-0003-1991-0429, Zhejiang University), Zhi Yu (0000-0003-2305-0492, Zhejiang University) |
| Año | 2017 |
| Volumen | 27 |
| Número | 5 |
| Páginas | 1190-1208 |
| Fecha de publicación | 2017-09-12 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Internet Research (JOURNAL) |
| Identificadores de la revista | ISSN: 1066-2243 • E-ISSN: 2054-5657 |
| Editorial | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/intr-07-2016-0205 |
| OpenAlex | W2756394441 |
| Idioma | EN |
| Referencias citadas | 22 |
Purpose As existing studies show the accuracy of sampling methods depends heavily on the evaluation metric in web accessibility evaluation, the purpose of this paper is to propose a sampling method OPS-WAQM optimized for Web Accessibility Quantitative Metric (WAQM). Furthermore, to support quick accessibility evaluation or real-time website accessibility monitoring, the authors also provide online extension for the sampling method
Data mining · Extension (predicate logic · Metric (unit · Sampling (signal processing · Telecommunications · The Internet · Web accessibility · Web standards · World Wide Web · Computer Science · Digital Accessibility for Disabilities · Engineering · Mobile Crowdsensing and Crowdsourcing · Tactile and Sensory Interactions
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |