dc.creator | Horcas Aguilera, José Miguel | es |
dc.creator | Galindo Duarte, José Ángel | es |
dc.creator | Benavides Cuevas, David Felipe | es |
dc.date.accessioned | 2022-11-28T09:23:35Z | |
dc.date.available | 2022-11-28T09:23:35Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Horcas Aguilera, J.M., Galindo Duarte, J.Á. y Benavides Cuevas, D.F. (2022). Variability in Data Visualization: a Software Product Line Approach. En SPLC 2022: 26th ACM International Systems and Software Product Line Conference (55-66), Graz, Austria: ACM: Association for Computing Machinery. | |
dc.identifier.isbn | 978-1-4503-9443-7 | es |
dc.identifier.uri | https://hdl.handle.net/11441/139827 | |
dc.description.abstract | Data visualization aims to effectively communicate quantitative
information by understanding which techniques and displays work
better for different circumstances and why. There are a variety of
software solutions capable of generating a multitude of different
visualizations of the same dataset. However, data visualization ex poses a large space of visual configurations depending on the type
of data to be visualized, the different displays (e.g., scatter plots,
line graphs, pie charts), the visual components to encode the data
(e.g., lines, dots, bars), or the specific visual attributes of those com ponents (e.g., color, shape, size, length). Researchers and developers
are not usually aware about best practices in data visualization, and
they are required to learn about both the design practices that make
communication effective and the low level details of the specific
software tool used to generate the visualization. This paper pro poses a software product line approach to model and materialize
the variability of the visualization design process, guided by fea ture models. We encode the visualization knowledge regarding the
best design practices, resolve the variability following a step-wise
configuration approach, and then evaluate our proposal for a spe cific software visualization tool. Our solution helps researchers and
developers communicate their quantitative results effectively by
assisting them in the selection and generation of the visualizations
that work best for each case. We open a new window of research
where data visualization and variability meet each other. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación RTI2018-101204-B-C22 (OPHELIA) | es |
dc.description.sponsorship | Junta de Andalucía P20-01224 (COPERNICA) | es |
dc.description.sponsorship | Junta de Andalucía METAMORFOSIS (US-1381375) | es |
dc.format | application/pdf | es |
dc.format.extent | 12 | es |
dc.language.iso | eng | es |
dc.publisher | ACM: Association for Computing Machinery | es |
dc.relation.ispartof | SPLC 2022: 26th ACM International Systems and Software Product Line Conference (2022), pp. 55-66. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Effective communication | es |
dc.subject | Graph | es |
dc.subject | Quantitative data | es |
dc.subject | Software product line | es |
dc.subject | Variability | es |
dc.subject | Visualization | es |
dc.title | Variability in Data Visualization: a Software Product Line Approach | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | RTI2018-101204-B-C22 (OPHELIA) | es |
dc.relation.projectID | COPERNICA (P20-01224) | es |
dc.relation.projectID | METAMORFOSIS (US-1381375) | es |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3546932.3546993 | es |
dc.identifier.doi | 10.1145/3546932.3546993 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.publication.initialPage | 55 | es |
dc.publication.endPage | 66 | es |
dc.eventtitle | SPLC 2022: 26th ACM International Systems and Software Product Line Conference | es |
dc.eventinstitution | Graz, Austria | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Junta de Andalucía | es |