Listar LCC - Artículos por autor "Pinto-Alarcón, Mónica"
Mostrando ítems 1-4 de 4
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A modular metamodel and refactoring rules to achieve software product line interoperability.
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Elsevier, 2022-12-05)Emergent application domains, such as cyber–physical systems, edge computing or industry 4.0. present a high variability in software and hardware infrastructures. However, no single variability modeling language supports ... -
Detecting feature influences to quality attributes in large and partially measured spaces using smart sampling and dynamic learning
Muñoz-Guerra, Daniel Jesús; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Elsevier, 2023)Emergent application domains (e.g., Edge Computing/Cloud/B5G systems) are complex to be built manually. They are characterised by high variability and are modelled by large Variability Models (VMs), leading to large ... -
Empirical analysis of the tool support for software product lines
Horcas-Aguilera, José Miguel; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (Springer, 2022-06-08)For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... -
Transforming numerical feature models into propositional formulas and the universal variability language
Muñoz-Guerra, Daniel Jesús; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia; Batory, Don (Elsevier, 2023)Real-world Software Product Lines (SPLs) need Numerical Feature Models (NFMs) whose features have not only boolean values that satisfy boolean constraints but also have numeric attributes that satisfy arithmetic constraints. ...