Contribución Socio responsable Enlace
Angel Cañete, Mercedes Amor, Lidia Fuentes: Sistema de Asignación de Tareas Energéticamente Eficiente en Infraestructuras de Despliegue Variables. JISBD 2018 CAOSD/UMA
Angel Cañete: Energy Efficient Assignment and Deployment of Tasks in Structurally Variable Infrastructures. In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume B (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 222–229. CAOSD/UMA
Jose-Miguel Horcas, Mónica Pinto, Lidia Fuentes: Modelando la Variabilidad de Características Complejas en SPLs. Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2019) CAOSD/UMA
Jose-Miguel Horcas, Mónica Pinto, and Lidia Fuentes. 2019. Software Product Line Engineering: A Practical Experience. In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume A (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 164–176. CAOSD/UMA
Daniel-Jesus Munoz, Jeho Oh, Mónica Pinto, Lidia Fuentes, and Don Batory. 2019. Uniform Random Sampling Product Configurations of Feature Models That Have Numerical Features. In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume A (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 289–301. CAOSD/UMA
Daniel-Jesus Munoz, Mónica Pinto, and Lidia Fuentes. 2019. HADAS: Analysing Quality Attributes of Software Configurations. In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume B (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 13–16. CAOSD/UMA
Oscar Díaz, Raul Medeiros, and Leticia Montalvillo. 2019. Change Analysis of #if-def Blocks with FeatureCloud. In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume B (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 17–20. ONEKIN/UPV
Capilla, Rafael & Gallina, Barbara & Cetina, Carlos & Favaro, John. (2019). Opportunities for software reuse in an uncertain world: From past to emerging trends. Journal of Software: Evolution and Process. 31. 10.1002/smr.2217. SAIT/URJC
Germania Rodriguez, Jennifer Pérez, David Benavides: Accessibility variability model: the UTPL MOOC case study. WEESR 2019: Second International Workshop on Experiences and Empirical Studies on Software Reuse. Proceedings of the 23rd International Systems and Software Product Line Conference – Volume B, SPLC (B) 2019: 76:1-76:8 SYST/UPM
Elvira G Ruiz, Jon Ayerdi, José A Galindo, Aitor Arrieta, Goiuria Sagardui, David Benavides: A general approach to Software Product Line testing. Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2019) US/MGEP
J. Rodas-Silva, J. A. Galindo, J. García-Gutiérrez and D. Benavides: Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to WordPress, in IEEE Access, vol. 7, pp. 69226-69245, 2019. US
Ana E. Chacón-Luna, Elvira G. Ruiz, José A. Galindo, and David Benavides. 2019. Variability Management in a Software Product Line Unaware Company: Towards a Real Evaluation. In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume B (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 82–89. US
José A. Galindo and David Benavides. 2019. Towards a New Repository for Feature Model Exchange. In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume B (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 170–173. US
José A. Galindo, David Benavides, Pablo Trinidad, Antonio-Manuel Gutiérrez-Fernández, and Antonio Ruiz-Cortés. 2019. Automated Analysis of Feature Models: Quo Vadis? In Proceedings of the 23rd International Systems and Software Product Line Conference – Volume A (SPLC ’19). Association for Computing Machinery, New York, NY, USA, 302 US
Jose A. Galindo, Elvira G. Ruiz, David Benavides: Variabilidad en visualización de datos: retos y posibilidades. Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2019) US