Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 1-20 de 367
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A characterisation of reliability tools for Software Defined Networks
Software Defined Network (SDN) is a new paradigm in networking that introduces great flexibility, allowing the dynamic configuration of parts of the network through centralised programming. SDN has been successfully applied ... -
A Cost-efficient Approach to Building in Continuous Integration.
Jin, Xianhao; Servant-Cortés, Francisco Javier
(Association for Computing Machinery (ACM), 2020)
Continuous integration (CI) is a widely used practice in modern software engineering. Unfortunately, it is also an expensive practice — Google and Mozilla estimate their CI systems in millions of dollars. In this paper, ... -
A FaaS approach for long-term monitoring in rehabilitation
The function as a service (FaaS) model, in which the costs are linked to the function time of use, is especially suitable in IoT or similar systems, where the information is collected periodically to consume less energy. ... -
A generic LSTM neural network architecture to infer heterogeneous model transformations.
Models capture relevant properties of systems. During the models’ life-cycle, they are subjected to manipulations with different goals such as managing software evolution, performing analysis, increasing developers’ ... -
A Genetic Algorithm for solving the Discrete Ordered Median Problem with Induced Order
(2017-07-18)The Discrete Ordered Median Problem with Induced Ordered (DOMP+IO) is a multi-facility version of the classical discrete ordered median problem (DOMP), which has been widely studied. Several exact methods have been ... -
A Linda-based Platform for the Parallel Execution of Out-place Model Transformations
Context: The performance and scalability of model transformations is gaining interest as industry is progressively adopting model-driven techniques and multicore computers are becoming commonplace. However, existing model ... -
A Milestone-Driven Approach for Lab Assignments Evaluation in Information Security
Núñez Montañez, David Alejandro; Moyano, Francisco; Nieto, Ana; Ortega, Juan J.; Agudo-Ruiz, Isaac; López, Javier[et al.] (2014-09-17)
In this paper we describe a methodology for designing and evaluating lab assignments based on the fulfilment of milestones. The approach relies on the integration of ICTs with an automatic, milestone-based evaluation. The ... -
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy
López-Camacho, Esteban; García Godoy, María Jesús; García-Nieto, José Manuel; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (2016-07-12)
Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with ... -
A novel continual learning approach for competitive neural networks
Fernández-Rodríguez, Jose David; Maza Quiroga, Rosa María; Palomo-Ferrer, Esteban José; Ortiz-de-Lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (2022)
Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgetting when dealing with non-stationary distributions. Prior works focused on supervised or reinforcement learning, but few ... -
A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem
The Software Project Scheduling (SPS) problem refers to the distribution of tasks during a software project lifetime. Software development involves managing human resources and a total budget in an optimal way for a ... -
A parallel evolutionary algorithm for prioritized pairwise testing of software product lines
López-Herrejón, Roberto E.; Ferrer-Urbano, Francisco Javier; Chicano-García, José-Francisco; Haslinger, Evelyn Nicole; Eyed, Alexander; Alba-Torres, Enrique[et al.] (2014-10-07)
Software Product Lines (SPLs) are families of related software systems, which provide different feature combinations. Different SPL testing approaches have been proposed. However, despite the extensive and successful use ... -
A people-oriented paradigm for smart cities
Perez-Vereda, Alejandro; Canal-Velasco, José Carlos (2017-05-04)
Most works in the literature agree on considering the Internet of Things (IoT) as the base technology to collect information related to smart cities. This information is usually offered as open data for its analysis, and ... -
A segregated architecture for a trust-based network of internet of things
Ferraris, Davide; Fernández-Gago, María del Carmen; Daniel, Joshua; López, Javier (IEEE, 2019-02-28)
With the ever-increasing number of smart home devices, the issues related to these environments are also growing. With an ever-growing attack surface, there is no standard way to protect homes and their inhabitants from ... -
A Service for Flexible Management and Analysis of Heterogeneous Clinical Data
García-Nieto, José Manuel; Navas-Delgado, Ismael; Hurtado-Requena, Sandro José (Springer, 2022-06-08)
Este documento describe FIMED 2.0, un servicio para la gestión flexible y análisis de datos clínicos heterogéneos. Esta herramienta de software permite la gestión flexible de datos clínicos de múltiples ensayos, lo que ... -
A Simulation Tool for tccp Programs
Gallardo-Melgarejo, María del Mar; Lavado, Leticia; Panizo-Jaime, Laura (2017-07-24)
The Timed Concurrent Constraint Language tccp is a declarative synchronous concurrent language, particularly suitable for modelling reactive systems. In tccp, agents communicate and synchronise through a global constraint ... -
A spatially-structured PCG method for content diversity in a Physics-based simulation game
This paper presents a spatially-structured evolutionary algorithm (EA) to procedurally generate game maps of di ferent levels of di ficulty to be solved, in Gravityvolve!, a physics-based simulation videogame that we have ... -
A Study About Meta-Optimizing the NSGA-II Multi-Objective Evolutionary Algorithm.
Aldana Martín, José Francisco; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Roldán-García, María del Mar (2023)
The automatic design of multi-objective metaheuristics is an active research line aimed at, given a set of problems used as training set, to find the configuration of a multi-objective optimizer able of solving them ... -
A Study of Archiving Strategies in Multi-Objective PSO for Molecular Docking
García-Nieto, José Manuel; López-Camacho, Esteban; García Godoy, María Jesús; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Aldana-Montes, José Francisco[et al.] (2016-09-30)
Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective ... -
A Study of the Combination of Variation Operators in the NSGA-II Algorithm
Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Machín, Mirialys; Coello Coello, Carlos A.; Dorronsoro, Bernabé (Springer, 2013)
Multi-objective evolutionary algorithms rely on the use of variation operators as their basic mechanism to carry out the evolutionary process. These operators are usually fixed and applied in the same way during algorithm ... -
A Study on Multimemetic Estimation of Distribution Algorithms
Nogueras, Rafael; Cotta-Porras, Carlos (2014-09-23)
Multimemetic algorithms (MMAs) are memetic algorithms in which memes (interpreted as non-genetic expressions of problem solving strategies) are explicitly represented and evolved alongside genotypes. This process is ...