dc.creator | Horcas Aguilera, José Miguel | es |
dc.creator | Galindo Duarte, José Ángel | es |
dc.creator | Pinto, Mónica | es |
dc.creator | Fuentes, Lidia | es |
dc.creator | Benavides Cuevas, David Felipe | es |
dc.date.accessioned | 2022-11-28T08:58:20Z | |
dc.date.available | 2022-11-28T08:58:20Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Horcas Aguilera, J.M., Galindo Duarte, J.Á., Pinto, M., Fuentes, L. y Benavides Cuevas, D.F. (2022). FM fact label: a configurable and interactive visualization of feature model characterizations. En SPLC 2022: 26th ACM International Systems and Software Product Line Conference (42-45), Graz, Austria: ACM: Association for Computing Machinery. | |
dc.identifier.isbn | 978-1-4503-9206-8 | es |
dc.identifier.uri | https://hdl.handle.net/11441/139825 | |
dc.description.abstract | Recognizing specific characteristics of feature models (FM) can be
challenging due to the different nature and domains of the models.
There are several metrics to characterize FMs. However, there is
no standard way to visualize and identify the properties that make
an FM unique and distinguishable. We propose FM Fact Label as
a tool to visualize an FM characterization based on its metadata,
structural measures, and analytical metrics. Although existing tools
can provide a visualization of the FM and report some metrics, the
feature diagram of large-scale FMs becomes ineffective to take an
overall shape of the FM properties. Moreover, the reported metrics
are often embedded in the tool user interface, preventing further
analysis. FM Fact Label is a standalone web-based tool that provides
a configurable and interactive visualization of FM characterizations
that can be exported to several formats. Our contribution becomes
important because the Universal Variability Language (UVL) is
starting to gain attraction in the software product line community
as a unified textual language to specify FMs and share knowledge.
With this contribution, we help to advance the UVL ecosystem
one step forward while providing a common representation for the
results of existing analysis tools | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades 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.description.sponsorship | Ministerio de Economía y Competitividad RTI2018-099213-B-I00 (MEDEA) | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación PID2021-122812OB-I00 (IRIS) | es |
dc.description.sponsorship | Junta de Andalucía P18-FR-1081 (RHEA) | es |
dc.description.sponsorship | Junta de Andalucía UMA18-FEDERIA-157 (LEIA) | es |
dc.description.sponsorship | European Union H2020 101017109 (DAEMON) | es |
dc.format | application/pdf | es |
dc.format.extent | 4 | 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. 42-45. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Characterization | es |
dc.subject | Feature model | es |
dc.subject | Metrics | es |
dc.subject | Variability | es |
dc.subject | Visualization | es |
dc.title | FM fact label: a configurable and interactive visualization of feature model characterizations | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
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 | P20-01224 (COPERNICA) | es |
dc.relation.projectID | METAMORFOSIS (US-1381375) | es |
dc.relation.projectID | RTI2018-099213-B-I00 (MEDEA) | es |
dc.relation.projectID | PID2021-122812OB-I00 (IRIS) | es |
dc.relation.projectID | P18-FR-1081 (RHEA) | es |
dc.relation.projectID | UMA18-FEDERIA-157 (LEIA) | es |
dc.relation.projectID | H2020-101017109 (DAEMON) | es |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3503229.3547025 | es |
dc.identifier.doi | 10.1145/3503229.3547025 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.publication.initialPage | 42 | es |
dc.publication.endPage | 45 | 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, Innovación y Universidades (MICINN). España | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | European Union (UE). H2020 | es |