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2014 | OriginalPaper | Buchkapitel

28. A Model-Based Approach to Develop Self-Adaptive Data Visualizations

verfasst von : Juan F. Inglés-Romero, Rober Morales-Chaparro, Cristina Vicente-Chicote, Fernando Sánchez-Figueroa

Erschienen in: Information System Development

Verlag: Springer International Publishing

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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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Metadaten
Titel
A Model-Based Approach to Develop Self-Adaptive Data Visualizations
verfasst von
Juan F. Inglés-Romero
Rober Morales-Chaparro
Cristina Vicente-Chicote
Fernando Sánchez-Figueroa
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-07215-9_28