Listar por autor "Muñoz-Guerra, Daniel Jesús"
Mostrando ítems 1-14 de 14
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Achieving Energy Efficiency with a Software Product Line Engineering Approach.
(UMA Editorial, 2024)La OCDE afirma que el consumo de energía es un combustible para el crecimiento económico, pero está estrechamente relacionado con el cambio climático global a través de las emisiones de gases de efecto invernadero. Por ... -
An empirical study of power consumption of Web-based communications in mobile phones
Ayala-Viñas, Inmaculada
; Fuentes-Fernández, Lidia; Muñoz-Guerra, Daniel Jesús; Amor-Pinilla, María Mercedes (IEEE Computer Society, 2017)
Currently, mobile devices are the most popular pervasive computing device, and they are becoming the primer way for Web access. Energy is a critical resource in such pervasive computing devices, being network communication ... -
Aplicabilidad de la Caracterización de Benchmarks a Modelos de Variabilidad
(2018-09-13)Los benchmarks utilizados para comparar el rendimiento de diferentes sistemas presentan una alta variabilidad que puede ser representada en modelos de variabilidad como los Feature Models. En este artículo presentamos ... -
Defining Categorical Reasoning of Numerical Feature Models with Feature-Wise and Variant-Wise Quality Attributes
Muñoz-Guerra, Daniel Jesús; Pinto-Alarcón, Mónica; Gurov, Dilian; Fuentes-Fernández, Lidia (ACM, 2022)
Automatic analysis of variability is an important stage of Software Product Line (SPL) engineering. Incorporating quality information into this stage poses a significant challenge. However, quality-aware automated analysis ... -
Detecting Feature Influences to Quality Attributes in Large and Partially Measured Spaces using Smart Sampling and Dynamic Learning
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 \textit{Variability Models} (VMs), leading to ... -
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 ... -
Extended Variability Models, Algebra, and Arithmetic
Although classic variability models have been traditionally used to specify members of a product-line, their level of expressiveness was quite limited. Several extensions have been proposed, like numerical features, complex ... -
Finding correlations of features affecting energy consumption and performance of web servers using the HADAS eco-assistant
The impact of energy consumption on the environment and the economy is raising awareness of “green” software engineering. HADAS is an eco-assistant that makes developers aware of the influence of their designs and ... -
Green Security Plugin for Pervasive Computing using the HADAS toolkit
Muñoz-Guerra, Daniel Jesús; Montenegro-Montes, José Antonio; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia (IEEE, 2017)
Energy is a critical resource in pervasive computing devices. However, information about energy consumption is not directly accessible through software development environments, making it difficult to reuse the knowledge ... -
HADAS: Asistente de eco-eficiencia con repositorio de consumo energético
El interés por la Ingeniería del Software "verde", o sea, sensible al consumo de energía, es relativamente reciente. Su objetivo es concienciar a los desarrolladores de software de la influencia que tienen sus decisiones ... -
HADAS: tool for analysis and development of sustainable applications
Fuentes-Fernández, Lidia; Muñoz-Guerra, Daniel Jesús (2018-09-13)
Durante esta Conferencia Internacional, representantes del Gobierno, autoridades locales, instituciones públicas y privadas, vicerrectores de Internacionalización y talento nacional e internacional crearon un ecosistema ... -
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. ... -
Uniform Random Sampling Product Configurations of Feature Models That Have Numerical Features
Muñoz-Guerra, Daniel Jesús; Pinto-Alarcón, Mónica; Fuentes-Fernández, Lidia; Oh, Jeho; Batory, Don (2019-10-09)
Analyses of Software Product Lines (SPLs) rely on automated solvers to navigate complex dependencies among features and find legal configurations. Often these analyses do not support numerical features with constraints ...