Listar ITIS - Artículos por título
Mostrando ítems 124-143 de 144
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Testing models and model transformations using classifying terms.
Hilken, Frank; Gogolla, Martin; Burgueño-Caballero, Lola
; Vallecillo-Moreno, Antonio Jesús (2016-11-09)
This paper proposes the use of equivalence partitioning techniques for testing models and model transformations. In particular, we introduce the concept of classifying terms, which are general OCL terms on a class model ... -
The orchestration of Machine Learning frameworks with datastreams and GPU acceleration in Kafka-ML: A deep-learning performance comparative
Machine Learning (ML) applications need large volumes of data to train their modelsso that they can make high-quality predictions. Given digital revolution enablers suchas the Internet of Things (IoT) and the Industry 4.0, ... -
The Uncertainty Interaction Problem in Self-Adaptive Systems
(Springer, 2022-08-17)The problem of mitigating uncertainty in self-adaptation has driven much of the research proposed in the area of software engineering for self-adaptive systems in the last decade. Although many solutions have already been ... -
TITAN: A knowledge-based platform for Big Data workflow management
Benítez-Hidalgo, Antonio; Barba-González, Cristóbal; Gutiérrez-Moncayo, Pedro; Paneque, Manuel; Nebro-Urbaneja, Antonio Jesús; Roldán-García, María del Mar; Aldana-Montes, José Francisco; Navas-Delgado, Ismael[et al.] (ELSEVIER, 2021-11-28)
Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ... -
Towards an open-source MLOps architecture
Burgueño Romero, Antonio Manuel; Benítez-Hidalgo, Antonio; Barba-González, Cristóbal; Aldana-Montes, José Francisco (IEEE Xplore, 2024-07-08)
The need for robust MLOps frameworks has become paramount in a world increasingly reliant on AI. Current solutions range from proprietary cloud services to independent open-source components, each with advantages and ... -
Towards Secure Agent Computing for Ubiquitous Computing and Ambient Intelligence
Muñoz-Gallego, Antonio Jesús; Maña-Gómez, Antonio; Serrano, Daniel (Springer, 2007-07-11)
El trabajo presenta una revisión exhaustiva de la evolución de los sistemas multiagente y analiza por qué estos sistemas no han sido ampliamente adoptados fuera de escenarios de investigación, señalando que la falta de ... -
Towards standarized benchmarks of LLMs in software modeling tasks: a conceptual framework
Cámara-Moreno, Javier; Burgueño-Caballero, Lola; Troya-Castilla, Javier (Springer, 2024-09-03)
The integration of Large Language Models (LLMs) in software modeling tasks presents both opportunities and challenges. This Expert Voice addresses a significant gap in the evaluation of these models, advocating for the ... -
Towards using Few-Shot Prompt Learning for Automating Model Completion
BenChaaben, Meriem; Burgueño-Caballero, Lola; Sahraoui, Houari (IEEE, 2023)
We propose a simple yet a novel approach to improve completion in domain modeling activities. Our approach exploits the power of large language models by using few-shot prompt learning without the need to train or fine-tune ... -
Towards Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking
Luque Schempp, Francisco; Panizo-Jaime, Laura; Gallardo-Melgarejo, María del Mar; Merino-Gómez, Pedro; Rivas, Francisco Javier (IEEE, 2022)
The need to increase mobility and to remove cables in industrial environments is pushing 5G as a valuable communication system to connect traditional deterministic Ethernet-based devices. One alternative is the adoption ... -
TPM-based protection for mobile agents.
Muñoz-Gallego, Antonio Jesús; Maña-Gómez, Antonio (Wiley, 2010)
El artículo titulado aborda el uso de la tecnología de módulos de plataforma confiable (TPM) para proteger agentes móviles en entornos de computación distribuida y ubicua. Se presenta una solución basada en hardware para ... -
Trans-cloud: CAMP/TOSCA-based bidimensional cross-cloud.
Carrasco Mora, José Manuel; Durán-Muñoz, Francisco Javier; Pimentel-Sánchez, Ernesto (Elsevier, 2018)
The diversity in the way in which different cloud providers offer their services, give their SLAs, present their QoS, or support different technologies complicates the portability and interoperability of cloud applications, ... -
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. ... -
Uncertainty representation in software models: a survey
Troya-Castilla, Javier; Moreno, Nathalie; Bertoa, Manuel F.; Vallecillo-Moreno, Antonio Jesús (Springer, 2021-01-08)
This paper provides a comprehensive overview and analysis of research work on how uncertainty is currently represented in software models. The survey presents the definitions and current research status of different proposals ... -
Use of an ANN to Value MTF and Melatonin Effect on ADHD Affected Children
Muñoz-Gallego, Antonio Jesús; Palomo-Ferrer, Esteban José; Jerez-Calero, Antonio (IEEE, 2019-08-26)
El estudio se centra en niños con TDAH que suelen sufrir trastornos del sueño como comorbilidad frecuente. Se utilizó una red neuronal de tipo Growing Neural Forest (GNF), que es una variante del modelo Growing Neural Gas ... -
Using metaheuristics for the location of bicycle stations
Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (Elsevier, 2020)
In this work, we solve the problem of finding the best locations to place stations for depositing/collecting shared bicycles. To do this, we model the problem as the p-median problem, that is a major existing localization ... -
UTypes: a library for uncertain datatypes in Python
Fernández-Candel, Carlos Javier; Muñoz, Paula; Troya-Castilla, Javier; Vallecillo-Moreno, Antonio Jesús (Elsevier, 2024-03-05)
Existing Python uncertainty packages support the expression and propagation of uncertainty in numeric types, such as float or int. However, they do not cover the rest of the built-in types which can also be affected by ... -
Verification of a multi-connectivity protocol for Tactile Internet applications
Rico, Delia; Gallardo-Melgarejo, María del Mar; Merino-Gómez, Pedro (Elsevier, 2023-10-26)
Tactile Internet refers to a network that enables real-time, high-reliability haptic communication and control between humans, machines, and objects over the Internet. Tactile Internet applications include the remote control ... -
We’re Not Gonna Break It! Consistency-Preserving Operators for Efficient Product Line Configuration
Horcas-Aguilera, José Miguel; Strüber, Daniel; Burdusel, Alexandru; Martínez, Jabier; Zschaler, Steffen (IEEE, 2023-03)
Resultado de la colaboración internacional con el King's College London (KCL), la Universidad Tecnológica de Chalmers (Gotemburgo, Suecia), y TECNALIA (País Vasco) gracias a la estancia post-doctoral en el KCL (Londres, ... -
Which Builds Are Really Safe to Skip? Maximizing Failure Observation for Build Selection in Continuous Integration.
Jin, Xianhao; Servant-Cortés, Francisco Javier (Elsevier, 2022-03-08)
Continuous integration (CI) is a widely used practice in modern software engineering. Unfortunately, it is also an expensive practice. Google and Mozilla estimate their expenses for their CI systems in millions of dollars. ... -
XACML as a Security and Dependability Pattern for Access Control in AmI environments
Muñoz-Gallego, Antonio Jesús; Sánchez-Cid, Francisco; El Khoury, Paul; Compagna, Luca (Springer-Verlag France, 2008)
En este trabajo, se aborda el uso del modelo de control de acceso XACML como un patrón de seguridad y confiabilidad en entornos de inteligencia ambiental (AmI). Estos entornos, caracterizados por redes de interfaces ...