Integration of Flamapy.js in a Software Product Line Engineering Platform to Enhance the Analysis of Feature Models
| UDC.coleccion | Publicacións UDC | |
| UDC.conferenceTitle | XoveTIC: impulsando el talento científico (8º. 2025. A Coruña) | |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | |
| UDC.endPage | 138 | |
| UDC.grupoInv | Laboratorio de Bases de Datos (LBD) | |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | |
| UDC.startPage | 131 | |
| dc.contributor.author | Soto Ríos, Antón | |
| dc.contributor.author | Lamas Sardiña, Víctor Juan | |
| dc.contributor.author | Rodríguez Luaces, Miguel | |
| dc.date.accessioned | 2026-09-18T16:12:56Z | |
| dc.date.available | 2026-09-18T16:12:56Z | |
| dc.date.issued | 2025 | |
| dc.description | Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña. | |
| dc.description.abstract | [Abstract] SPLALM is a Product Line Engineering factory development environment that introduces two key innovations. It integrates with GitLab and git to enable consistent and coordinated changes in complex product families. It also supports parsing, persisting, analyzing, and visualizing Feature Models (FMs) using the Universal Variability Language, a community-driven standard for variability representation. To support FM analysis directly in a browser, SPLALM uses Flamapy.js, a Pyodide-basedWASMwrapper of the Flamapy framework. This paper focuses on the integration of Flamapy.js and how it upgrades the analysis of FMs in SPLALM. Together, these features align SPLALM with ISO/IEC 26580 standards, offering a reliable solution for managing high-variability product lines. | |
| dc.identifier.citation | Soto Ríos, A., Sardiña, V. J. L., & Luaces, M. R. (2026). Integration of Flamapy. js in a Software Product Line Engineering Platform to Enhance the Analysis of Feature Models. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 131-138). Servizo de Publicacións. UDC. https://doi.org/10.17979/spu.23.c27 | |
| dc.identifier.doi | 10.17979/spu.23.c27 | |
| dc.identifier.isbn | 978-84-9749-925-5 | |
| dc.identifier.uri | https://hdl.handle.net/2183/49319 | |
| dc.language.iso | eng | |
| dc.publisher | Universidade da Coruña, Servizo de Publicacións | |
| dc.relation.uri | https://doi.org/10.17979/spu.23.c27 | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Software product line engineering | |
| dc.subject | Feature model analysis | |
| dc.subject | Universal variability language (UVL) | |
| dc.subject | Flamapy.js | |
| dc.subject | Variability management | |
| dc.title | Integration of Flamapy.js in a Software Product Line Engineering Platform to Enhance the Analysis of Feature Models | |
| dc.type | conference output | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | f5f01d97-f28d-46b7-b99d-3bd795ee2677 | |
| relation.isAuthorOfPublication | fbde3bd9-d786-4ef0-89ec-6af2091fa415 | |
| relation.isAuthorOfPublication.latestForDiscovery | f5f01d97-f28d-46b7-b99d-3bd795ee2677 |
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