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Teoría de Categorías Aplicada a Variabilidad

Authors: Munoz, Daniel-Jesus; Pinto, Monica; Fuentes, Lidia;

Teoría de Categorías Aplicada a Variabilidad

Abstract

Your can watch this video in my Youtube channel: https://youtu.be/JXeOt4UVtJU This is a Live Conference Presentation, please access and cite the published version of the respective publication: https://doi.org/10.5281/zenodo.4974524 La Teoría de Categorías es un álgebra abstracta que capta los componentes comunes de estructuras aparentemente diferentes. Sus principios organizadores pretenden remodelar y reformular problemas, facilitando su resolución y abriendo puertas a nuevas vías de investigación. En este trabajo analizamos su aplicabilidad a Modelos de Variabilidad con los objetivos de estandarizar su expresividad y expandir el conjunto tradicional de herramientas de razonamiento y optimización. Este trabajo est ́a financiado por el programa de investigación e innovación H2020 de la Uni ́on Europea bajo el acuerdo de subvención DAEMON 101017109, por los proyectos también co-financiados por fondos FEDER LEIA UMA18-FEDERJA-15, MEDEA RTI2018-099213-B-I00 y Rhea P18-FR-1081, y la ayuda PRE2019-087496 del Ministerio de Ciencia e Innovación.

Related Organizations
Keywords

modelo de variabilidad, característica, razonador, atributo de calidad, teoría de categorías

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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