Utilize este identificador para referenciar este registo: http://hdl.handle.net/10348/6011
Título: AccessWeb Barometer - A Web Accessibility Evaluation and Analysis Platform
Autor: Ramiro, Gonçalves
José, Martins
Jorge, Pereira
Carlos, Peixoto
Tânia, Rocha
Branco, Frederico
Palavras-chave: Web Accessibility
AccessWeb Barometer
Evaluation Platform
Analysis Service
Diagnostic Service
Data: 2015
Editora: Eugen Borcoci, University “Politehnica” Bucharest, Romania
Resumo: The constant evolution of all Web related technologies, and the considerable adoption of these technologies in our society’s everyday life, has brought to the discussion table the ability of these Web technologies and Web contents to become accessible to all, including those with some sort of disability. During the past years, a research project has been executed in order to, not only give the Web accessibility topic more visibility within our society, but also to achieve indicators on the levels of accessibility presented by privately held company websites. Considering the growing need to rapidly achieve Web accessibility indicators, whose complexity has significantly increased, the research team inherent to the referred project developed a software platform, entitled “AccessWeb Barometer”, that has the ability to perform Web accessibility evaluations to multiple websites in simultaneous. It also has the ability to analyze and publish the results inherent to those evaluations, and to allow its users to create their own analysis and dashboards. In this paper, we present the AccessWeb Barometer software platform architecture, its overall characterization and validation, and also the possibilities of what a platform like this can bring to Web content developers and to organizations worldwide.
Revisão por Pares: yes
URI: http://hdl.handle.net/10348/6011
ISBN: 978-1-61208-435-0
Tipo de Documento: Objecto de Conferência
Aparece nas colecções:DENG - Artigo de Conferência em Revista Científica Indexada

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AccessWeb Barometer - A Web Accessibility Evaluation and Analysis Platform.pdf1,13 MBAdobe PDFThumbnail

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