Reference Freire, A. P., Fortes, R. P. M., Carlos, S.,Turine, M. A. S., & Paiva, D. M. B. (2008). An Evaluation of Web AccessibilityMetrics based on their Attributes. Human Factors, 73-80.
Summary statementMeasuring and monitoring accessibilityhas been a very important requirementto support Web Engineering processes. Accessibility metrics are important contributions to enable to perform quantitative analysis regarding accessibility.
Key conceptsProviding accessible applications is a key issue to enable a more inclusive Web and to broaden access to everyone, regardless of disabilities.
Key arguments and relationships Metrics are very important to helpunderstanding, controlling, and improving products and processes in software development. In terms of accessibility, metrics can be especially useful in two situations: companies may improve the accessibility of final products and companies beginning the softwaredevelopment can introduce accessibility issues in the development process.
Key findings and contributions When choosing one or more metrics tobe used in a Web Engineering process, it is important to perform a careful comparison between the metrics.
Ideas, observations and critiques High correlative coefficient betweendifferent metrics should not mislead from concentrating current project – there might be situations where on metric doesn’t make any sense in meaning of current project.
General ideas The most effective approach for better choosing a good metric is to performuser tests and comparing the results with different metrics obtained from inspection evaluations.
Conclusion:which metric is BEST for eachproject depends on project.