Listar Instituto de Tecnología e Ingeniería del Software de la Universidad de Málaga - (ITIS) por título
Mostrando ítems 38-57 de 111
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e-LION: Data integration semantic model to enhance predictive analytics in e-Learning.
Paneque Romero, Manuel; Roldán-García, María del Mar
; García-Nieto, José Manuel (Sistedes, 2023)
The surge in online education emphasizes Learning Management Systems' (LMSs) crucial role in organizing learning resources and enabling teacher-learner communication. COVID-19 accelerated this, spiking engagement and ... -
EARMO: An Energy-Aware Refactoring Approach for Mobile Apps
Morales, Rodrigo; Saborido Infantes, Rubén; Khomh, Foutse; Chicano-García, José-Francisco; Antoniol, Giuliano (IEEE, 2018)
The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy ... -
Effective anytime algorithm for multiobjective combinatorial optimization problems
Domínguez-Ríos, Miguel Ángel; Alba-Torres, Enrique; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2021-07)
In multiobjective optimization, the result of an optimization algorithm is a set of efficient solutions from which the decision maker selects one. It is common that not all the efficient solutions can be computed in a short ... -
Efficient execution of ATL model transformations using static analysis and parallelism
Sánchez Cuadrado, Jesús; Burgueño-Caballero, Lola; Wimmer, Manuel; Vallecillo-Moreno, Antonio Jesús (2020)
Although model transformations are considered to be the heart and soul of Model Driven Engineering (MDE), there are still several challenges that need to be addressed to unleash their full potential in industrial settings. ... -
Enabling DSRC and C-V2X Integrated Hybrid Vehicular Networks: Architecture and Protocol
Hameed Mir, Zeeshan; Toutouh-el-Alamin, Jamal; Filali, Fethi; Ko, Young-Bae (IEEE, 2020-10-05)
Emerging Vehicle-to-Everything (V2X) applications such as Advanced Driver Assistance Systems (ADAS) and Connected and Autonomous Driving (CAD) requires an excessive amount of data by vehicular sensors, collected, processed, ... -
Engineering software for next-generation networks in a sustainable way.
Fuentes-Fernández, Lidia (2024)
The virtualization and softwarization of network functions is the networking industry's latest achievement. Software-Defined Networks (SDN) and Network Function Virtualization (NFV) propose novel software architectures and ... -
Exact and heuristic approaches for multi-objective garbage accumulation points location in real scenarios.
Rossit, Diego Gabriel; Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio (Elsevier, 2020-03-15)
Municipal solid waste management is a major challenge for nowadays urban societies, because it accounts for a large proportion of public budget and, when mishandled, it can lead to environmental and social problems. This ... -
Expressing Confidence in Models and in Model Transformation Elements.
Burgueño-Caballero, Lola; Bertoa, Manuel F.; Moreno, Nathalie; Vallecillo-Moreno, Antonio Jesús (2018-10-14)
The expression and management of uncertainty, both in the information and in the operations that manipulate it, is a critical issue in those systems that work with physical environments. Measurement uncertainty can be due ... -
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 ... -
Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions
Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2019-11)
The goal in Robust Optimization is to optimize not only the quality of the solutions but also the variation of this quality with the uncertain parameters of the optimization problem. We propose a robust model for the ... -
Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary.
Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (2012-04-27)
This work tackles the problem of reducing the power consumption of the OLSR routing protocol in vehicular networks. Nowadays, energy-aware and green communication protocols are important research topics, specially when ... -
FLEXTORY: Flexible Software Factory of IoT Data Consumers.
López Gómez, Rafael; Panizo-Jaime, Laura; Gallardo-Melgarejo, María del Mar (MDPI, 2024-04-16)
The success of the Internet of Things (IoT) has driven the development, among others, of many different software architectures for producing, processing, and analyzing heterogeneous data. In many cases, IoT applications ... -
Fourier Transform-based Surrogates for Permutation Problems
In the context of pseudo-Boolean optimization, surrogate functions based on the Walsh-Hadamard transform have been recently proposed with great success. It has been shown that lower-order components of the Walsh-Hadamard ... -
Generalizing and Unifying Gray-box Combinatorial Optimization Operators.
Gray-box optimization leverages the information available about the mathematical structure of an optimization problem to design efficient search operators. Efficient hill climbers and crossover operators have been proposed ... -
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs.
Cintrano López, Christian; Ferrer-Urbano, Francisco Javier; López-Ibáñez, Manuel; Alba-Torres, Enrique (MIT Press Direct, 2023-03)
In the traffic light scheduling problem, the evaluation of candidate solutions requires the simulation of a process under various (traffic) scenarios. Thus, good solutions should not only achieve good objective function ... -
Improving query performance on dynamic graphs
Barquero Moreno, Gala; Troya-Castilla, Javier; Vallecillo-Moreno, Antonio Jesús (Springer, 2020-11-20)
Querying large models efficiently often imposes high demands on system resources such as memory, processing time, disk access or network latency. The situation becomes more complicated when data are highly interconnected, ... -
Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming.
Metaheuristics for solving multiobjective problems can provide an approximation of the Pareto front in a short time, but can also have difficulties finding feasible solutions in constrained problems. Integer linear programming ... -
Incorporating Measurement Uncertainty into OCL/UML Primitive Datatypes
Fernández-Bertoa, Manuel; Burgueño-Caballero, Lola; Moreno, Nathalie; Vallecillo-Moreno, Antonio Jesús (2020-06-01)
The correct representation of the relevant properties of a system is an essential requirement for the effective use and wide adoption of model-based practices in industry. Uncertainty is one of the inherent properties of ... -
Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm.
Massobrio, Renzo; Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (Wiley, 2017-03-07)
This article describes the application of a multiobjective evolutionary algorithm for locating roadside infrastructure for vehicular communication networks over realistic urban areas. A multiobjective formulation of the ...