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Título
Generating Dashboards Using Fine-Grained Components: A Case Study for a PhD Programme
Autor(es)
Materia
Domain engineering
SPL
Information dashboards
Information systems
Educational dashboards
Clasificación UNESCO
1203.17 Informática
Fecha de publicación
2020
Citación
Vázquez-Ingelmo, A., García-Peñalvo, F. J., & Therón, R. (2020). Generating Dashboards Using Fine-Grained Components: A Case Study for a PhD Programmes. In P. Zaphiris & A. Ioannou (Eds.), Learning and Collaboration Technologies. Design, Experiences. 7th International Conference, LCT 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I (pp. 303-314). Springer Nature. https://doi.org/10.1007/978-3-030-50513-4_23. ISSN 0302-9743. ISSN 1611-3349 (electronic). ISBN 978-3-030-50512-7. ISBN 978-3-030-50513-4 (eBook).
Resumen
Developing dashboards is a complex domain, especially when several
stakeholders are involved; while some users could demand certain indicators,
other users could demand specific visualizations or design features.
Creating individual dashboards for each potential need would consume several
resources and time, being an unfeasible approach. Also, user requirements must
be thoroughly analyzed to understand their goals regarding the data to be
explored, and other characteristics that could affect their user experience. All
these necessities ask for a paradigm to foster reusability not only at development
level but also at knowledge level. Some methodologies, like the Software
Product Line paradigm, leverage domain knowledge and apply it to create a
series of assets that can be composed, parameterized, or combined to obtain
fully functional systems. This work presents an application of the SPL paradigm
to the domain of information dashboards, with the goal of reducing their
development time and increasing their effectiveness and user experience. Different
dashboard configurations have been suggested to test the proposed
approach in the context of the Education in the Knowledge Society PhD programme
of the University of Salamanca.
URI
ISSN
0302-9743
DOI
10.1007/978-3-030-50513-4_23
Versión del editor
Colecciones
- GRIAL. Artículos [441]