Listar por autor "Munoz, Daniel-Jesus"
Mostrando ítems 1-6 de 6
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Defining Categorical Reasoning of Numerical Feature Models with Feature-Wise and Variant-Wise Quality Attributes
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
Munoz, Daniel-Jesus; 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 ... -
Finding correlations of features affecting energy consumption and performance of web servers using the HADAS eco-assistant
Munoz, Daniel-Jesus; Pinto-Alarcón, Mónica; Fuentes, Lidia (2019-10-09)
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
Munoz, Daniel-Jesus; Montenegro-Montes, José Antonio; Pinto-Alarcón, Mónica; Fuentes, 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 ... -
Uniform Random Sampling Product Configurations of Feature Models That Have Numerical Features
Munoz, Daniel-Jesus; Pinto-Alarcón, Mónica; Fuentes, 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 ...