analysis and integration of web accessibility metrics
"Analysis and Integration of Web Accessibility Metrics" was presented as a grade thesis. It included the development of "OceanAcc", an evaluation and analysis tool that performs a semi-automatic evaluation process. With little user intervention, can give quantitative information about the accessibility of a web page. Many of the metrics published in papers couldn't be found at most of the common accessibility validators. OceanAcc integrates an existing validator, Achecker [1], with the known metrics UWEM, Failure Rate, and WAB Score, [3] and the barrier-checkpoint mapping proposed by Giorgio Brajnik in his work "Barrier Walkthrough (2004)[4]". It also has one custom metric, and many reports: metric evolution of a page, most violated checkpoint, a barrier ranking, and the percentage of users with different disabilities affected by the page. These reports help optimizing a later manual testing, focusing the human tester in the most important problems. The goal was also to make a comfortable and easy to use application that could generate results fast. User intervention is needed to filter the automatic results that are false positives, or don't apply in the context. (It happens for example with tables and other elements that can be accessible and fail anyway). Automatic assessment is not enough, and cannot be created by automatic means alone. [2] This idea could encourage enterprises and individuals to take accessibility as a quality attribute, having a simplified, measurable and cost reduced testing process.
web accessibility metrics evaluation validation guidelines disabled people