Capítulos (Lenguajes y Sistemas Informáticos)

URI permanente para esta colecciónhttps://hdl.handle.net/11441/11393

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Experiencias en la aplicación de un Ciclo de Mejora en el Aula en la asignatura Proyectos en Informática Clínica
(Editorial Universidad de Sevilla, 2022) González Enríquez, José; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
En este capítulo se describe la puesta en práctica de los conocimientos adquiridos en los Cursos Generales de Docencia Universitaria de la Universidad de Sevilla. Concretamente, el ciclo de mejora en el aula (CIMA) desarrollado se ha llevado a cabo en la asignatura Proyectos en Informática Clínica, optativa del cuarto curso del Grado en Ingeniería de la Salud, impartido en la Escuela Técnica Superior de Ingeniería Informática de esta universidad. Además de definir de forma clara el modelo metodológico a seguir, así como el mapa de contenidos, se desarrolló un cuestionario cuyos resultados fueron usados para analizar la escalera de aprendizaje de los alumnos. Los resultados, demuestran que la aplicación de CIMA mejora significativamente los conocimientos adquiridos por los alumnos, pasando de concentrar a la mayoría de los alumnos en los escalones más bajos, a los más altos.
Human–computer interaction analysis for RPA support
(De Gruyter, 2021) Jiménez Ramírez, Andrés; Reijers, Hajo A.; González Enríquez, José; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
In the last decade, industry has wholeheartedly embraced RPA. A large number of RPA projects have been conducted, which all involve the mimicking of human behavior by software. Although vendor-specific frameworks exist to support all aspects of RPA solutions – from the analysis of the system until the enactment and control of the developed robots – most of them base their solution on workflow diagrams (e. g., BluePrism or UIPath). This chapter explores the benefits of a conceptual RPA framework that is based on log information related to the exact human–computer interaction. While the observation of employees’ computers (i. e., clicks and keystrokes) may lead to the desired data, it is by no means trivial to convert such events into a meaningful log. Our approach shows how to create a so-called user interface (UI) log based on image similarity techniques. This UI log can then be used to provide support for all stages of the RPA lifecycle. Specifically, we will describe a use case in which the UI log is used (1) to support the analysis of the underlying process and (2) to generate a test platform which checks whether or not the developed robots behave in accordance with the analyzed process. We will also discuss how other stages of the RPA lifecycle can leverage the existence of such a UI log, which leads to the identification of new research lines.
Enseñanza de los algoritmos de programación exhaustivos desde un modelo docente constructivista
(Editorial Universidad de Sevilla, 2022) Jiménez Ramírez, Andrés; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Dentro del Grado de ingeniería informática – ingeniería de computadores se ha desarrollado un ciclo de mejora de 8 horas donde se enseña la programación con algoritmos exhaustivos dentro de la asignatura Análisis y Diseño de Datos y Algoritmos. Este ciclo de mejora contempla un proceso metodológico donde las actividades de ideación y debate toman especial relevancia. El artículo contiene el mapa de contenidos y los cuestionarios inicial y final que sirven para comprobar si se ha producido aprendizaje en los alumnos. Tanto las sensaciones del profesor como los resultados de las escaleras de aprendizaje fueron positivos, aunque se identificaron punto de mejora para futuros ciclos de mejora.
Ciclo de Mejora en el Aula (CIMA) en la asignatura de Análisis y Diseño de Datos y Algoritmos. Algoritmos de resolución de problemas sobre grafos virtuales
(Editorial Universidad de Sevilla, 2022) Jiménez Ramírez, Andrés; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Dentro del Grado de ingeniería informática – ingeniería de computadores se ha desarrollado un Ciclo de mejora en el Aula (CIMA) de 12 horas de duración donde los alumnos aprenden a resolver problemas usando grafos virtuales. En este CIMA se ha seguido un proceso metodológico que potencia la realización de actividades de ideación por los alumnos para poder resolver estos problemas. El profesor comienza describiendo el contexto y el problema, haciéndolos cercanos a los alumnos para que éstos puedan debatir sobre su solución, a la vez que el profesor aporta ideas que contrastan con las de los alumnos y les ayuda a reflexionar. Este artículo contiene el mapa de contenidos utilizado por el profesor, así como los cuestionarios que permiten conocer el aprendizaje de los alumnos. Aunque las sensaciones del profesor fueron positivas en su desarrollo, la evaluación del aprendizaje de los alumnos no se pudo realizar por la ausencia de alumnos en la última sesión.
Intelligent Document Processing in End-to-End RPA Contexts: A Systematic Literature Review
(Springer Nature, 2023-03) Martínez Rojas, Antonio; López Carnicer, José Manuel; González Enríquez, José; Jiménez Ramírez, Andrés; Sánchez-Oliva, J. M.; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; Ministerio de Ciencia, Innovación y Universidades (MICIU). España
Automating organizational processes typically involves document processing techniques for a large document set. For that purpose, the Intelligent Document Processing (IDP) paradigm has been studied for decades. With the fast emergence of Robotic Process Automation (RPA) in the process automation landscape, the industrial solution of IDP with RPA integration has risen significantly in the last few years. However, there is no up-to-date overview of the available knowledge in this area. Therefore, this chapter studies the current scientific knowledge about IDP and its integration into RPA through a systematic literature review that analyzed 77 primary studies. In addition, an industry review was performed, analyzing and characterizing 37 industrial tools. Although the results confirm the growth in the research interest in IDP in different dimensions, they also identify a lack of proposals that integrate IDP and RPA paradigms in confrontation with the industrial solutions that have increasingly led to its integration.
Revealing the Importance of Setting Parameters in Declarative Discovery Algorithms: An Evolutionary-Based Methodology
(Springer, 2023) Pradras Fernández, Vanessa; Varela Vaca, Ángel Jesús; Gómez López, María Teresa
Through constraints, declarative process models represent the permitted behaviour associated with a business process, by limiting the potential correct traces. These models can be discovered by analysing an event log. However, various declarative business models can be extracted from a single event log, depending on the desirable level of metrics, such as fitness and generalisation. Existing discovery algorithms enable the type of discovered declarative process model to be customised through a set of configuration parameters. Depending on the values of these parameters, the discovered process can be of high or low quality. Unfortunately, the high number of combinatorial parameters and the high time consumption of process discovery make it impractical to conduct an exhaustive analysis of the configuration parameters to determine the most suitable declarative process model discovered. As a solution, we propose a methodology supported by an implemented framework that uses evolutionary algorithms to reduce computational complexity and to select the highest quality declarative business processes. An experiment is included to show the feasibility of our proposal.
Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting
(Springer, 2024) Linares Barrera, María Lourdes; Jiménez Navarro, Manuel Jesús; Riquelme Santos, José Cristóbal; Martínez Ballesteros, María del Mar; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; MICIU/AEI/10.13039/501100011033
In the fast-evolving field of machine learning, the process of feature selection is essential for reducing model complexity and enhancing interpretability. Within this context, filter methods have gained recognition for their effectiveness in assessing features through statistical metrics. A recently introduced metric, the Conditional Dependence Coefficient, aims to assess the dependence between subsets of features and a target variable, enhancing our understanding of feature relevance. This paper presents a novel feature selection approach that integrates this statistical metric with a multi-objective evolutionary algorithm. This strategy leverages the flexibility of evolutionary algorithms to efficiently explore the feature space and employs an intuitive metric for identifying pertinent features. Unlike many filter-based approaches, our method does not require thresholds or percentiles related to the number of selected features and evaluates the collective merit of feature subsets instead of the significance of individual features. To address the forecasting challenge of identifying the appropriate time lags and features, we performed experiments on eight distinct datasets containing multivariate time-series data. Comparing our method against a baseline with no feature selection, our results show solid performance in efficacy and a notable reduction in model complexity.
Ciberseguridad cognitiva aplicada al phishing
(Universidad de Vigo, 2023-06) Mariano Velo, José; Varela Vaca, Ángel Jesús; Martínez Gasca, Rafael; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; Proyecto COPERNICA; Proyecto METAMORFOSIS; Proyecto AETHER-US
Los Sistemas cognitivos son sistemas informáticos que emplean las teorías, métodos y herramientas de diversas disciplinas de computación para modelar tareas o procesos cognitivos emulando a la cognición humana. Una de las aplicaciones de éstos sistemas es en el campo de la Ciberseguridad es la detección de técnicas de phishing. Se reciben diariamente miles o millones de correos electrónicos, que son procesados por los distintos filtros de seguridad para catalogarlos en diferentes clases, correos legítimos, con malware, o phishing. A pesar de todas las medidas que se toman, siempre hay un porcentaje de correos electrónicos maliciosos que por diversos motivos pasan dichos filtros. Por ello vamos a definir una propuesta para mejorar la detección de dichos ataques, basada en una aproximación cognitiva. La propuesta se centra en definir el proceso, las potenciales técnicas y métricas usando motores para toma de decisiones ampliada basada en modelos de decisión.
Automatizando RGPD 2016/679 mediante Procesos de Negocio: El caso del Artículo 32
(Fundación Tecnalia Research and Innovation, 2022) Varela Vaca, Ángel Jesús; Martínez Gasca, Rafael; Gómez López, María Teresa; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; ETHERUS; COPERNICA; METAMORFOSIS
El correcto cumplimiento del Reglamento General de Protección de Datos (RGPD) es complejo, debido a la subjetividad en la interpretación de la norma dada y su dificultad en la implantación por parte de las organizaciones. El correcto cumplimiento requerirá una adaptación profunda de los procesos y tareas internas de las organizaciones, pero una incorrecta implantación podría derivar en problemas de seguridad y sanciones para estas. Nuestra propuesta, se centra en la utilización de las tecnologías y metodologías relacionadas con los Procesos de Negocio para digitalizar y automatizar los procesos y tareas que puedan dar soporte a los distintos artículos del RGPD, facilitando la implantación y automatización de estos procesos, a la vez que se crean las evidencias necesarias para demostrar el buen cumplimiento de la norma. Dada la amplitud del RGPD, en este artículo entramos a detallar una prueba de concepto relacionada con el proceso derivado del Art. 32 sobre la Seguridad del tratamiento, proponiendo el proceso concreto que le da soporte. Index Terms—Automatización, Digitalización, RGPD, Protección de datos personales, Proceso de Negocio
Assuring the quality and security of medical robotics process automation
(Taylor & Francis Group, 2022) Escalona Cuaresma, María José; Navarro Pando, José; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
In recent years, the application of new technologies to the healthcare environment is a common practice. However, the COVID-19 pandemic has shown us that this application is a critical necessity for society. The application of disruptive techniques such as Artificial Intelligence or Machine Learning in the healthcare environment is something necessary but not sufficient. It is necessary to take another qualitative leap. This paper presents a reflection on the use of emerging technologies, such as blockchain or the robotization of software processes to further improve healthcare processes.
A Practical Experience Applying Security Audit Techniques in An Industrial Healthcare System
(Springer Nature, 2022) Gómez, Julián; Olivero González, Miguel Ángel; García García, Julián Alberto; Escalona Cuaresma, María José; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; Spanish the Ministry of Science, Economy and University; Andalusian RegionalMinistry of Economy and Knowledge
Healthcare institutions are an ever-innovative field, where modernization is advancing by leaps and bounds. This modernization, called “digitization”, brings with it some concerns that need to be taken into account. The aim of this work is to present away to combine the advantages of cybersecurity and artificial intelligence to protect what is of most concern: electronic medical records and the privacy of patient data. Health-related data in healthcare systems are subject to strict regulations, such as the EU’s General Data Protection Regulation (GDPR), non-compliance with which imposes huge penalties and fines. Healthcare cybersecurity plays an important role in protecting this sensitive data, which is highly valuable to criminals. The methodology used to perform a security assessment process has been orchestrated with frameworks that make the audit process as comprehensive and organized as possible. The results of this study include a security audit on an industrial scenario currently in production. An exploitation and vulnerability analysis has been performed, and more that 450 vulnerabilities has been found. This chapter outlines a systematic approach using artificial intelligence to enable the system security team to facilitate the process of conducting a security audit taking into account the sensitivity of their systems.
SLA4OAI-Analyzer: Automated Validation of RESTful API Pricing Plans
(Springer Nature, 2023) Fresno Aranda, Rafael; Fernández Montes, Pablo; Ruiz Cortés, Antonio; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Nowadays, public web APIs are considered as business assets by many organizations. They provide data and functionality which other developers can integrate within their own services. These APIs are commercialized through pricings, which include a series of plans. Each plan contains features and limitations, coupled with a price. Developers who wish to use the API need to choose which plan better suits their needs. The formal description of pricings is not standardized, which hinders the ability to automate their analysis. The SLA4OAI specification aims to provide an extension for OpenAPI that allows pricings to be described. This specification paves the way for an ecosystem of tools that leverage the information of a pricing. In this paper, we present SLA4OAI-Analyzer, a public API that automatically checks an SLA4OAI specification file for conflicts at different levels. We also provide an online Jupyter notebook to validate the API using different examples.
Coordinación de casos prácticos en asignaturas del área de conocimiento "Gestión de la Información" según modelo curricular de informática de la ACM/IEEE 2013
(Educación Editora, 2018) García Nieto, José M.; Navas Delgado, Ismael; Roldán García, María del Mar; Nebro Urbaneja, Antonio Jesús; Gómez López, María Teresa; Bernárdez Jiménez, Beatriz; Aldana Montes, José F.; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Este artículo presenta el estado de desarrollo y resultados preliminares del proyecto de innovación docente de la Universidad de Málaga (PIE15-183): Coordinación de casos prácticos en asignaturas del área de conociMiento "Gestión de Información" según modelo curricular de informática de la ACM/IEEE 2013
Product optimization in stepwise design
(Springer Nature, 2021) Batory, Don; Oh, Jeho; Heradio, Rubén; Benavides Cuevas, David Felipe; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Stepwise design of programs is a divide-and-conquer strategy to control complexity in program modularization and theorems. It has been studied extensively in the last 30 years and has worked well, although it is not yet commonplace. This paper explores a new area of research, finding efficient products in colossal product spaces, that builds upon past work.
Principles of software product lines
(Springer Nature, 2023) OliveiraJr, Edson; Benavides Cuevas, David Felipe; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Softwareproductlines(SPL)hasbeenconsolidatedinthelastdecadesasadefactoandnon-opportunisticwayofmasscustomizationandreuseofsoftwareartifactstoproducespecificproducts.Overtheyears,SPLsandtheirconstructionprocesseshaveevolvedbasedonseveralseminalworksandtechnologies.Inthischapter,wecharacterizeanSPL,presentitsterminology,chronologicallypresentitsfirstconstructionmethodologiesandsecond-generationones,anddescribeSPLdevelopmentapproaches.Weconcludethechapterwithfinalremarksandconsiderationsforthenextchapters.
Saving Energy in Grid Computing
(2011) Fernández Montes González, Alejandro; Sánchez Venzalá, José I.; Ortega Ramírez, Juan Antonio; González Abril, Luis; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; Universidad de Sevilla. Departamento de Economía Aplicada I
This article is focused on simulating the progress of Grid’5000 in order to choose best policies in terms of arranging jobs and managing resources. A Javabased simulator has been developed in order to replay the conditions of the Grid’5000 from recent years historical data . This way, an study of different policies has been carried out looking for energy efficiency. The policies studied are based in mathematical models which try to predict the most efficient behavior of the Grid’5000.
Framework for Systems Based on Context
(2011) Soria Morillo, Luis Miguel; Álvarez García, Juan Antonio; Ortega Ramírez, Juan Antonio; Cuberos Garcia-Baquero, Francisco Javier; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
User context is a very useful knowkledge to build rich applications. Until recently the only context that devices or systems had, was the one added manually by users. However, increasingly mobile applications seek to automate their execution and they need to know more about the user that control it. Moreover, the increase in the number of sensor integrated into devices and the importance that mobile devices have become in our days makes it possible. Through them is possible to obtain a wealth of information about the context that surround the user. This information must be maintained in an efficient, simple and secure to provide applications using this information. Therefore, in this work a framework will be developed, by which applications will have an entire catalog of user context features available for use. This will open a range of applications that can run independently without waiting for user information, but simply based on the acquired by the system from the environment.
Benchmarking an Ameva: A Performance Test on Discretization Algorithm
(2011) Alvarez De La Concepcion, Miguel Angel; Cuberos Garcia-Baquero, Francisco Javier; González Abril, Luis; Ortega Ramírez, Juan Antonio; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; Universidad de Sevilla. Departamento de Economía Aplicada I
In this paper we describe the Ameva discretization algorithm as a method that transform a set of continuous data in a set of discrete data for further processing. Following the description of this algorithm, a classification method will be applied on a set of baseline data and will be established a comparison of these data to test the efficiency of using Ameva. Finally, we will be set the rules for applied Ameva on more that one characteristic.
Energy-Efficient Routing Approach for Wireless Sensor Networks
(2011) Fuentes Brenes, Daniel; Fernández Montes González, Alejandro; Ortega Ramírez, Juan Antonio; González Abril, Luis; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Wireless Sensor Networks (WSNs) are popular nowadays for multiple applications which include environmental monitoring, seismic detection and surveillance. The nodes in WSNs deplete of their very limited energy over time. Current approach proposes a method to save energy in a WSN by reducing the number of sensor transmissions. During a training period, the central server of the network analyzes arrived messages routes to determine routing rules for each sensor. After the training time, the server reconfigures the network adding the computed rules to the nodes to improve the message routing. Through the numerical results, we show that our approach can save up to 25.5% of the energy consumed by the nodes.
Aplicación del Método de Optimización por Colonia de Hormigas en la Resolución de Problemas Multiobjetivo
(2011) Márquez, José Manuel; Velasco Morente, Francisco; González Abril, Luis; Ortega Ramírez, Juan Antonio; Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos; Universidad de Sevilla. Departamento de Economía Aplicada I
Este artículo describe la aplicación de algoritmos de optimización por colonias de hormigas a problemas con múltiples objetivos, utilizando variaciones del famoso Problema del Viajante y su aplicación al problema de optimización de caminos de aprendizaje en itinerarios formativos.

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