WAB*: A Quantitative Metric Based on WAB

Martínez, Ana Belén Barragáns; Juan, Aquilino; Álvarez, Darío; Suárez, Ma Carmen

doi:10.1007/978-3-642-02818-2_44

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…The UWEM formula is based on the product of the checkpoints' failure rates [20]. Its results are precise and accurate, however, it only takes into consideration 2 priority levels of the WCAG guidelines [21].…”

Section: Unified Web Evaluation Methodology (Uwem)mentioning

confidence: 99%

“…Ana Belén Martínez, Aquilino A. Juan, Darío Álvarez, and Ma del Carmen Suárez [21] went further and created a quantitative metric based on the WAB metric: WAB * . The WAB * metric is based on WAB and has some UWEM-like extensions.…”

Section: Web Accessibility Barriers (Wab)mentioning

confidence: 99%

“…With all these tools, the authors could build a new metric, namely WAB * . Martínez, et al [21], point out the main problems and the main advantages of WAB and UWEM metrics. For instance, WAB performs tests to evaluate checkpoints, yet it is not precise in the way it determines the number of potential…”

Section: Web Accessibility Barriers (Wab)mentioning

confidence: 99%

See 2 more Smart Citations

Large-scale study of web accessibility metrics

Martins

Duarte

2022

Univ Access Inf Soc

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Evaluating the accessibility of web resources is usually done by checking the conformance of the resource against a standard or set of guidelines (e.g., the WCAG 2.1). The result of the evaluation will indicate what guidelines are respected (or not) by the resource. While it might hint at the accessibility level of web resources, often it will be complicated to compare the level of accessibility of different resources or of different versions of the same resource from evaluation reports. Web accessibility metrics synthesize the accessibility level of a web resource into a quantifiable value. The fact that there is a wide number of accessibility metrics, makes it challenging to choose which ones to use. In this paper, we explore the relationship between web accessibility metrics. For that purpose, we investigated eleven web accessibility metrics. The metrics were computed from automated accessibility evaluations obtained using QualWeb. A set of around three million web pages were evaluated. By computing the metrics over this sample of nearly three million web pages, it was possible to identify groups of metrics that offer similar results. Our analysis shows that there are metrics that behave similarly, which, when deciding what metrics to use, assists in picking the metric that is less resource intensive or for which it might be easier to collect the inputs.

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Section: Unified Web Evaluation Methodology (Uwem)mentioning

confidence: 99%

Section: Web Accessibility Barriers (Wab)mentioning

confidence: 99%