Listar ITIS - Contribuciones a congresos científicos por título
Mostrando ítems 8-27 de 52
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CASI: Preventing Indirect Conflicts through a Live Visualization.
(Association for Computing Machinery (ACM), 2010)Software development is a collaborative activity that may lead to conflicts when changes are performed in parallel by several developers. Direct conflicts arise when multiple developers make changes in the same source code ... -
Chronos: Visualizing Slices of Source-Code History.
(Institute of Electrical and Electronics Engineers (IEEE), 2013)In this paper, we present CHRONOS—a tool that enables the querying, exploration, and discovery of historical change events to source code. Unlike traditional Revision Control-System tools, CHRONOS allows queries across any ... -
CIBench: A Dataset and Collection of Techniques for Build and Test Selection and Prioritization in Continuous Integration.
(IEEE, 2021)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. There are a number ... -
Clasificación de delitos con incertidumbre
(2023)La clasificación de atestados policiales es un tema complejo en el que la incertidumbre juega un papel importante. Por ejemplo, en muchos informes faltan información o es inconsistente. También es posible que diferentes ... -
Coevolutionary generative adversarial networks for medical image augumentation at scale
(2022-07-08)Medical image processing can lack images for diagnosis. Generative Adversarial Networks (GANs) provide a method to train generative models for data augmentation. Synthesized images can be used to improve the robustness of ... -
Crazy Chefs!: videojuego serio gamificado basado en tecnología de captura de movimientos para fomentar la socialización y el entrenamiento físico de personas mayores
(CEUR Workshop Proceedings, 2022-12)Uno de los principales objetivos del programa marco de la UE Horizon Europa persigue mejorar la salud y el bienestar de los ciudadanos usando soluciones innovadoras para prevenir, diagnosticar, tratar o curar una enfermedad. ... -
DASSCi: Avatares Digitales Deportivos en Ciudades Inteligentes.
(2023)Las nuevas tecnologías han impulsado la evolución de las ciudades inteligentes, las cuales buscan mejorar la calidad de vida de sus habitantes y optimizar la gestión de recursos urbanos a través de soluciones innovadoras ... -
Dealing with Belief Uncertainty in Domain Models.
(2023)There are numerous domains in which information systems need to deal with uncertain information. These uncertainties may originate from different reasons such as vagueness, imprecision, incompleteness or inconsistencies; ... -
Defining Categorical Reasoning of Numerical Feature Models with Feature-Wise and Variant-Wise Quality Attributes
(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
(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 \textit{Variability Models} (VMs), leading to ... -
Digital Avatars for Older People’s Care
(2020-06-17)The continuous increase in life expectancy poses a challenge for health systems in modern societies, especially with respect to older people living in rural low-populated areas, both in terms of isolation and difficulty ... -
Diseño de servicios cuánticos a través de la especificación AsyncAPI
(2023)La computación cuántica ha evolucionado de ser una idea teórica a convertirse en una realidad tangible. Aunque no es posible acceder directamente a un ordenador cuántico de la misma manera que a los ordenadores convencionales, ... -
e-LION: Data integration semantic model to enhance predictive analytics in e-Learning.
(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 ... -
Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization.
(Springer, 2023)We consider the issue of intensification/diversification balance in the context of a memetic algorithm for the multiobjective optimization of investment portfolios with cardinality constraints. We approach this issue in ... -
Extended Variability Models, Algebra, and Arithmetic
(2023)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 ... -
Fourier Transform-based Surrogates for Permutation Problems
(2023)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.
(2024)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 ... -
Improving Developers’ Understanding of Regex Denial of Service Tools through Anti-Patterns and Fix Strategies.
(2023)Regular expressions are used for diverse purposes, including input validation and firewalls. Unfortunately, they can also lead to a security vulnerability called ReDoS (Regular Expression Denial of Service), caused by a ... -
Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming.
(2023)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 ...