Software Analytics for Web Usability: A Systematic Mapping

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Pellizon, Lucas Henrique ; Choma, Joelma ; da Silva, Tiago Silva ; Guerra, Eduardo ; Zaina, Luciana ; Gervasi, O ; Murgante, B ; Misra, S ; Borruso, G ; Torre, CM ; Rocha, AMAC ; Taniar, D ; Apduhan, BO ; Stankova, E ; Cuzzocrea, A

• Tipo de documento: Artigo Científico
• Fonte: COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT VI; v. 10409, p. 16-pg., 2017-01-01.

Resumo

Software usability has become a key factor for the success or failure of web-based systems. However, traditional evaluation methods - user tests and field observations - are expensive and time consuming when applied to a large number of users. In order to deal with these inherent difficulties and costs and to propose a new method to automatically capture and analyze web usage data, we carried out a systematic mapping on web analytics and web usability. A total of 970 studies were identified, of which only 42 studies were selected for this mapping. We found out that most studies are focused on tools for capturing information on user's navigation, however, few tools have presented mechanisms for visualization of these user interaction data. (AU)

• Processo FAPESP: 14/25779-3 - Análise e implementação de métodos de avaliação de usabilidade em contextos ágeis de desenvolvimento de software
• Beneficiário: Tiago Silva da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Regular