Abstract
Nowadays, a growing number of applications make use of data visualization techniques to effectively present information to the users. The complexity of these techniques increases as the number of visualization devices, the amount and variety of the input data sources, and the user- and application-specific requirements grow and change more and more rapidly every day. This work illustrates how the combined use of model-based and adaptive software development techniques eases the design and implementation of the data visualization systems, providing them with the ability to dynamically adapt themselves to changing situations and requirements. As a core part of the paper we present a case study to help us introduce the main elements of the proposal and to discuss its benefits and limitations.
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Acknowledgements
This work has been funded by MICINN under the grant MIGRARIA (TIN201 1-27430). Juan F. Inglés-Romero thanks Fundación Séneca-CARM for a grant (Exp. 15561/FPI/10). Rober Morales-Chaparro thanks FEDER + FSE for a grant.
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Inglés-Romero, J.F., Morales-Chaparro, R., Vicente-Chicote, C., Sánchez-Figueroa, F. (2014). A Model-Based Approach to Develop Self-Adaptive Data Visualizations. In: José Escalona, M., Aragón, G., Linger, H., Lang, M., Barry, C., Schneider, C. (eds) Information System Development. Springer, Cham. https://doi.org/10.1007/978-3-319-07215-9_28
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DOI: https://doi.org/10.1007/978-3-319-07215-9_28
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