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.
CITATION STYLE
Pellizon, L. H., Choma, J., da Silva, T. S., Guerra, E., & Zaina, L. (2017). Software analytics for web usability: A systematic mapping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10409 LNCS, pp. 246–261). Springer Verlag. https://doi.org/10.1007/978-3-319-62407-5_17
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