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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Mobile App SPLs (USJ 2024/2025)

Authors: José Miguel Horcas;

Mobile App SPLs (USJ 2024/2025)

Abstract

This dataset contains variability models developed by students of the Universidad San Jorge (Zaragoza, Spain). The models were created as part of the practical assignment for the course "Ensamblado de Aplicaciones mediante Líneas de Producto Software" (Software Product Line Application Assembly) within the Master's Degree in "Tecnologías Software Avanzadas para Dispositivos Móviles" (Advanced Software Technologies for Mobile Devices) during the 2024/2025 academic year. The models represent the Domain Engineering phase of a Software Product Line (SPL) project. Each model identifies a specific mobile application domain and captures its variability. Below is the list of students who authored the models in this dataset: Julian David Alcala Forero: Gps Port Ramon Alberto Peralta Paulino: Music Quizz Radeluis Ismael Sánchez De Los Santos: Monumentos Zaragoza Johan Alberto De La Cruz Charles: Sda World Marcos Antonio Salas Abelló: Fitness App Alejandro Berraondo Soria: Fit App

Related Organizations
Keywords

SPL, Mobile apps, uvlhub, Academic

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average