Mostrando ítems 1-20 de 42

Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.

Vera-Rivera, F. H.; Puerto Cuadros, Eduard Gilberto; Astudillo, Hernán; Gaona, Carlos (IEEE Access, 2017)

The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is ...
Design and implementation of a web application to estimate the surface density of implanted ions in solid substrates

Vera-Rivera, F. H.; PEREZ GUTIERREZ, BORIS RAINIERO; V. Niño, Ely Dannier (Journal of Physics: Conference SeriesInglaterra, 2017-01-25)

In the present research a web application is designed and implemented allowing us to calculate the dose of implanted ions on solid substrates from experimental parameters (repetition rate and pulse duration of current, ...
Un algoritmo recursivo de reconocimiento de patrones

Puerto Cuadros, Eduard Gilberto; Aguilar Castro, Jose Lisandro (Revista Técnica de la Facultad de Ingeniería Universidad del ZuliaColombia, 2017-07-25)

En este trabajo, proponemos un algoritmo de reconocimiento de patrones basado en el funcionamiento sistemático del neocórtex humano, en procesos de reconocimiento de patrones. El algoritmo explota la idea de recursividad, ...
Detección de modos de transporte usando datos GPS

Adarme Jaimes, Marco Antonio; Heredia-Vizcaino, Diana; Puerto Cuadros, Eduard Gilberto (Cuaderno ActivaColombia, 2017-12)

El uso de dispositivos móviles y el aprovechamiento de la tecnología GPS, permiten la implementación de sistemas para analizar el contexto y actividades típicas de transporte de un usuario, a través del análisis de los ...
ForistomApp a Web application for scientific and technological information management of Forsitom foundation

Hector Jaime, Dulce-Moreno; Saavedra-Duarte, L A; Angarita-Jerardino, A; Ruiz, P A; Vera-Rivera, F. H.; V-Niño, E D (Journal of Physics: Conference SeriesBogota , Colombia, 2017-12-29)

Information and Communication Technologies (ICT) are essential in the transfer of knowledge, and the Web tools, as part of ICT, are important for institutions seeking greater visibility of the products developed by their ...
A recursive patterns matching model for the dynamic pattern recognition problem

Puerto Cuadros, Eduard Gilberto; Aguilar, Jose; Chavez Garcia, Danilo (Applied Artificial IntelligenceReino Unido, 2018-06-04)

This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition ...
Defining and measuring microservice granularity, a literature overview

Vera-Rivera, Fredy H.; Gaona, Carlos; Astudillo, Hernán (PeerJ Computer ScienceEstados Unidos, 2018-09-08)

Background Microservices are an architectural approach of growing use, and the optimal granularity of a microservice directly affects the application’s quality attributes and usage of computational resources. Determining ...
International meeting on applied sciences and engineering

Vera-Rivera, F. H.; CORDERO DIAZ, MARLING CAROLINA; V-Niño, E D (Journal of Physics: Conference SeriesReino Unido, 2018-12-07)

The goal aim objective of the 4th International Meeting on Applied Sciences and Engineering (EISI), is to promote a space for the exchange of knowledge between the academy and the industrial sector of the department of ...
Study of the use of agile methodologies in the development of software construction projects in Colombia

Parada, Carmen Janeth; ROJAS PUENTES, MARIA DEL PILAR; Vera-Rivera, F. H. (Journal of Physics: Conference SeriesInglaterra, 2018-12-07)

The Software Engineering Research Group of the University Francisco de Paula Santander has been implementing projects based on the development of methodologies for the creation of software; thus, as part of these projects ...
Deep learning architecture for the recursive patterns recognition model

Puerto, E; Aguilar, J; Reyes, J; Sarkar, D (Journal of Physics: Conference SeriesReino Unido, 2018-12-07)

In this work, we propose a deep learning approach for the recursive pattern recognition model, called AR2P (for its acronym in Spanish: "Algoritmo Recursivo de Reconocimiento de Patrones"), by extending its supervised ...
Predicting student drop-out rates using data mining techniques: A case study

PEREZ GUTIERREZ, BORIS RAINIERO; Castellanos, Camilo; Correal, Dario (IEEE Colombian Conference on Applications in Computational IntelligenceColombia, 2018-12-14)

The prevention of students dropping out is considered very important in many educational institutions. In this paper we describe the results of an educational data analytics case study focused on detection of dropout of ...
Using multilayer fuzzy cognitive maps to diagnose autism spectrum disorder

Puerto, E.; Aguilar, J.; López, C.; Chávez, D. (Applied Soft ComputingPaíses Bajos, 2019-02)

Autism Spectrum Disorder (ASD) is comprised of a group of heterogeneous neurodevelopmental conditions, typically characterized by a triad of symptoms consisting of (1) impaired communication, (2) restricted interests, and ...
An Ar2p Deep Learning Architecture for the Discovery and the Selection of Features

Aguilar, Jose; Puerto, E.; Vargas, R.; Reyes, J. (Neural Processing LettersPaíses Bajos, 2019-07-13)

In the context of pattern recognition processes with machine learning algorithms, either through supervised, semi-supervised or unsupervised methods, one of the most important elements to consider are the features that are ...
Desarrollo de aplicaciones basadas en microservicios: tendencias y desafíos de investigación

Vera-Rivera, F. H.; Astudillo, Hernan; Gaona, Carlos (RISTI - Revista Ibérica de Sistemas e Tecnologias de InformaçãoPortugal, 2019-10)

Los microservicios son un enfoque arquitectónico y organizativo del desarrollo de software en el que las aplicaciones están compuestas por pequeños servicios independientes que se comunican a través de un API bien definida ...
Administración, control y seguimiento de la pretemporada en el fútbol por medio de un sistema de información - Sinplafut1.0

vera rivera, jose luis; PEREZ GUTIERREZ, BORIS RAINIERO; Vera-Rivera, F. H. (Universidad Ciencia y TecnologíaVenezuela, 2019-10-07)

La pre-temporada es la parte inicial de los procesos de adaptación deportiva que generalmente realizan todos los equipos de alto rendimiento, en Colombia solo en primera división hay 32 equipos de futbol profesional. ...
Sinplafut: A microservices – based application for soccer training

vera rivera, jose luis; Vera-Rivera, F. H.; Gaona Cuevas, Carlos Mauricio (Journal of Physics: Conference SeriesReino Unido, 2019-11-19)

Microservices are an architectural style of service-oriented applications that allow the application to be divided into independent and autonomous units, which can be individually developed, tested, deployed (mainly in the ...
Development of a technological platform for teaching and training in competitive programming contests

Vera Contreras, Milton Jesús; Vera-Rivera, F. H.; Delgado Leon, Angie Melissa; Lázaro Carrillo, Gerson Yesid (Journal of Physics: Conference SeriesReino Unido, 2019-11-29)

The competitive programming contests are competitions where the programming capacity and algorithm of the participants are measured. The objective of this work was to develop and implement a framework to formalize the ...
Comparación de técnicas de minería de datos para identificar indicios de deserción estudiantil, a partir del desempeño académico

PEREZ GUTIERREZ, BORIS RAINIERO (Revista UIS IngenieríasColombia, 2020-01-04)

Uno de los grandes retos en las instituciones educativas consiste en poder establecer la posibilidad de retiro o deserción de sus estudiantes. En este artículo se presentan los resultados de un estudio de comparación de ...
Enseñanza de arquitectura de software en modalidad blended learning: Análisis de la percepción de estudiantes de maestría

Pérez, Boris; Castellanos, Camilo; Correal, Darío (RISTI - Revista Ibérica de Sistemas e Tecnologias de InformaçãoPortugal, 2020-03)

La arquitectura de software, como componente clave de la educación en ingeniería de software, requiere que el estudiante desarrolle un conjunto de habilidades técnicas y sociales. En el curso de maestría Arquitecturas ...
Implementación de un repositorio para el catálogo, búsqueda y uso de componentes software reutilizables en el desarrollo de aplicaciones web

Vera-Rivera, F. H.; Sandoval-Ramírez, Jhon Jairo; Vargas-Fandiño, Jhon Carlos (Revista UIS IngenieríasColombia, 2020-03-05)

El desarrollo de software se caracteriza por ser un proceso complejo, requiere de inversión de tiempo, conocimiento de herramientas tecnológicas para su elaboración, su depuración y su despliegue. Sin embargo, con el paso ...

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Microservices backlog – a genetic programming technique for identification and evaluation of microservices from user stories.
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Vera-Rivera, F. H. | 2017

The microservice granularity directly affects the quality attributes and usage of computational resources of the system, determining optimal microservice granularity is an open research topic. Microservices granularity is defined by the number of operations exposed by the microservice, the number of microservices that compose the whole application, and its complexity and dependencies. This paper describes "Microservice Backlog (MB)", a semiautomatic model for defining and evaluating the granularity of microservice-based applications; MB uses genetic programming technique to calculate at design time the granularity of each microservice from the user stories in the "product backlog" or release planning; the genetic algorithm combined coupling, cohesion, granularity, semantic similarity, and complexity metrics to define the number of microservices, and the user stories associated with each microservice. MB decomposes the candidate microservices, allowing to analyze graphically the size of each microservice, as well as its complexity, dependencies, coupling, cohesion metrics, and the number of calls or requests between microservices. The resulting decomposition (number of microservices and their granularity) performed by MB shows less coupling, higher cohesion, less complexity, fewer user stories associated with each microservice, and fewer calls among microservices. MB was validated against three existing methods, using two state-of-the-art applications (Cargo Tracking and JPet-Store), and one real-life applications (Foristom Conferences). The development team and/or architect can use metrics to identify the critical points of the system and determine at design time how the microservice-based application will be implemented.

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Design and implementation of a web application to estimate the surface density of implanted ions in solid substrates
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Vera-Rivera, F. H. | 2017-01-25

In the present research a web application is designed and implemented allowing us to calculate the dose of implanted ions on solid substrates from experimental parameters (repetition rate and pulse duration of current, potential difference, work pressure and treatment time) and current pulses acquired during start-up and shutdown of high voltage electrical discharges at low pressures. By physical and mathematical processing, it is achieved at first estimate the value of the ionic charge, and then the areal density. This study will provide more accurate and suitable developments in relation to applications of ion implantation as an alternative technique to increase the service life of the surfaces of the materials used in various industrial sectors developments.

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Un algoritmo recursivo de reconocimiento de patrones
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Puerto Cuadros, Eduard Gilberto | 2017-07-25

En este trabajo, proponemos un algoritmo de reconocimiento de patrones basado en el funcionamiento sistemático del neocórtex humano, en procesos de reconocimiento de patrones. El algoritmo explota la idea de recursividad, basada en la jerarquía neocortical y en la desagregación/integración del patrón en el proceso de reconocimiento. El algoritmo propuesto es probado para analizar sus capacidades de reconocimiento de patrones.

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Detección de modos de transporte usando datos GPS
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Adarme Jaimes, Marco Antonio | 2017-12

El uso de dispositivos móviles y el aprovechamiento de la tecnología GPS, permiten la implementación de sistemas para analizar el contexto y actividades típicas de transporte de un usuario, a través del análisis de los datos de localización y sensores de aceleración. Este trabajo de investigación comprende el procesamiento de datos obtenidos vía GPS. Con este procesamiento se pretende detectar el modo de transporte de un usuario en segmentos de recorridos predefinidos. Para la clasificación de éstos, se usan perfiles de velocidad que identifican los modos de transporte en cada uno de los segmentos, mediante un sistema software en lenguaje de programación Java y la utilización de Matlab para el análisis y filtros de datos. El sistema software se desarrolla en dos componentes, el primero comprende el filtro y transformación de datos. Estos datos se representan en coordenadas decimales a coordenadas cartesianas. El segundo presenta la clasificación, para la detección de modos de transportes con las coordenadas cartesianas. También contiene el análisis de estados de movimientos cinemáticos. Las pruebas se realizan a través de un dataset tomado del proyecto GeoLife de Microsoft Asia. Los resultados obtenidos muestran una detección coherente sobre los medios de transporte que usan los diferentes usuarios. Estos usuarios se comparan a partir de perfiles de velocidad predefinidos.

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ForistomApp a Web application for scientific and technological information management of Forsitom foundation
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Hector Jaime, Dulce-Moreno | 2017-12-29

Information and Communication Technologies (ICT) are essential in the transfer of knowledge, and the Web tools, as part of ICT, are important for institutions seeking greater visibility of the products developed by their researchers. For this reason, we implemented an application that allows the information management of the FORISTOM Foundation (Foundation of Researchers in Science and Technology of Materials). The application shows a detailed description, not only of all its members also of all the scientific production that they carry out, such as technological developments, research projects, articles, presentations, among others. This application can be implemented by other entities committed to the scientific dissemination and transfer of technology and knowledge.

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A recursive patterns matching model for the dynamic pattern recognition problem
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Puerto Cuadros, Eduard Gilberto | 2018-06-04

This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition problem. Dynamic patterns are characterized by having properties that change in intervals of time, such as a pedestrian walking or a car running (the negation of a dynamic pattern is a static pattern). Novel contributions of this paper include: (1) Formally develop the concepts of dynamic and static pattern, (2) design a recursive pattern matching model, which exploits the idea of recursivity and time series in the recognition process, and the unbundling/integration of pattern to recognize, and (3) develop strategies of pattern matching from two major orientations: recognition of dynamic patterns oriented by characteristic, or oriented by perception. The model is instantiated in several cases, to analyze its performance.

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Defining and measuring microservice granularity, a literature overview
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Vera-Rivera, Fredy H. | 2018-09-08

Background Microservices are an architectural approach of growing use, and the optimal granularity of a microservice directly affects the application’s quality attributes and usage of computational resources. Determining microservice granularity is an open research topic. Methodology We conducted a systematic literature review to analyze literature that addresses the definition of microservice granularity. We searched in IEEE Xplore, ACM Digital Library and Scopus. The research questions were: Which approaches have been proposed to define microservice granularity and determine the microservices’ size? Which metrics are used to evaluate microservice granularity? Which quality attributes are addressed when researching microservice granularity? Results We found 326 papers and selected 29 after applying inclusion and exclusion criteria. The quality attributes most often addressed are runtime properties (e.g., scalability and performance), not development properties (e.g., maintainability). Most proposed metrics were about the product, both static (coupling, cohesion, complexity, source code) and runtime (performance, and usage of computational resources), and a few were about the development team and process. The most used techniques for defining microservices granularity were machine learning (clustering), semantic similarity, genetic programming, and domain engineering. Most papers were concerned with migration from monoliths to microservices; and a few addressed green-field development, but none address improvement of granularity in existing microservice-based systems. Conclusions Methodologically speaking, microservice granularity research is at a Wild West stage: no standard definition, no clear development—operation trade-offs, and scarce conceptual reuse (e.g., few methods seem applicable or replicable in projects other than their initial proposal). These gaps in granularity research offer clear options to investigate on continuous improvement of the development and operation of microservice-based systems.

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International meeting on applied sciences and engineering
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Vera-Rivera, F. H. | 2018-12-07

The goal aim objective of the 4th International Meeting on Applied Sciences and Engineering (EISI), is to promote a space for the exchange of knowledge between the academy and the industrial sector of the department of Norte de Santander, Colombia. The assistance of scientific experts in science, engineering, technological development, and innovation allowed generating knowledge and solutions that impacted the socio-economic development of the region and the country.

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Study of the use of agile methodologies in the development of software construction projects in Colombia
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Parada, Carmen Janeth | 2018-12-07

The Software Engineering Research Group of the University Francisco de Paula Santander has been implementing projects based on the development of methodologies for the creation of software; thus, as part of these projects a study of the use and knowledge of Agile Methodologies was conducted. The study was based on the application of a survey to determine the preference of IT professionals in identifying the most agile methodologies used in development groups in Colombia and to determine the selection criteria. The survey was applied to a sample of one hundred and four (104) professionals from a population of one thousand two hundred and thirty-four (1234) Systems Engineers; graduates from the Systems Engineering program who work as developers throughout the country. From the study, it can be concluded that Colombia is keeping up with global trends in the use of Agile methodologies; as a result, 73% of the professionals surveyed applied an agile methodology for the development of software products and of the percentage obtained, 43.42% used the Scrum methodology and 19.7% applied the Scrum/XP hybrid.

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Deep learning architecture for the recursive patterns recognition model
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Puerto, E | 2018-12-07

In this work, we propose a deep learning approach for the recursive pattern recognition model, called AR2P (for its acronym in Spanish: "Algoritmo Recursivo de Reconocimiento de Patrones"), by extending its supervised learning capability towards a semi-supervised learning scheme. The deep learning architecture is composed of three phases: the first one, called discovery phase, discovers the atomic descriptors. The second one, called aggregation phase, creates a feature hierarchy (merge of descriptors) from atomic descriptors. Finally, the classification phase carries out the classification of the inputs based on the feature hierarchy. The last phase uses a supervised learning approach, while the first two follow an unsupervised learning approach. In this paper is tested the performance of the proposed model, using a dataset from the UCI Machine Learning Repository.

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Predicting student drop-out rates using data mining techniques: A case study
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PEREZ GUTIERREZ, BORIS RAINIERO | 2018-12-14

The prevention of students dropping out is considered very important in many educational institutions. In this paper we describe the results of an educational data analytics case study focused on detection of dropout of Systems Engineering (SE) undergraduate students after 6 years of enrollment in a Colombian university. Original data is extended and enriched using a feature engineering process. Our experimental results showed that simple algorithms achieve reliable levels of accuracy to identify predictors of dropout. Decision Trees, Logistic Regression, Naive Bayes and Random Forest results were compared in order to propose the best option. Also, Watson Analytics is evaluated to establish the usability of the service for a non expert user. Main results are presented in order to decrease the dropout rate by identifying potential causes. In addition, we present some findings related to data quality to improve the students data collection process.

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Using multilayer fuzzy cognitive maps to diagnose autism spectrum disorder
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Puerto, E. | 2019-02

Autism Spectrum Disorder (ASD) is comprised of a group of heterogeneous neurodevelopmental conditions, typically characterized by a triad of symptoms consisting of (1) impaired communication, (2) restricted interests, and (3) repetitive and stereotypical behavior pattern. An accurate and early diagnosis of autism can provide the basis for an appropriate educational and treatment program. In this work, we propose a computational model using a Multilayer Fuzzy Cognitive Map (hereafter referred to as MFCM) based on standardized behavioral assessments diagnosing the ASD (MFCM-ASD). The two standards used in the model are: the Autism Diagnostic Observation Schedule, Second Edition (ADOS2), and the Autism Diagnostic Interview Revised (ADIR). The MFCM’s are a soft computing technique characterized by robust properties that make it an effective technique for medical decision support systems. For the evaluation of the MFCM-ASD model, we have used real datasets of diagnosed cases, so as to compare against other method/approaches. Initial experiments demonstrated that the proposed model outperforms conventional Fuzzy Cognitive Maps (FCMs) for ASD diagnosis. Our MFCM-ASD model serves as a diagnostic tool required to support the medical decisions when determining the correct diagnosis of Autism in children with different cognitive characteristics.

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An Ar2p Deep Learning Architecture for the Discovery and the Selection of Features
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Aguilar, Jose | 2019-07-13

In the context of pattern recognition processes with machine learning algorithms, either through supervised, semi-supervised or unsupervised methods, one of the most important elements to consider are the features that are used to represent the phenomenon to be studied. In this sense, this paper proposes a deep learning architecture for Ar2p, which is based on supervised and unsupervised mechanisms for the discovery and the selection of features for classification problems (called Ar2p-DL). Ar2p is an algorithm of pattern recognition based on the systematic functioning of the human brain. Ar2p-DL is composed of three phases: the first phase, called feature analysis, is supported by two feature-engineering approaches to discover or select atomic features/descriptors. The feature engineering approach used for the discovery, is based on a classical clustering technique, K-means; and the approach used for the selection, is based on a classification technique, Random Forest. The second phase, called aggregation, creates a feature hierarchy (merge of descriptors) from the atomic features/descriptors (it uses as aggregation strategy the DBSCAN algorithm). Finally, the classification phase carries out the classification of the inputs based on the feature hierarchy, using the classical Ar2p algorithm. The last phase of Ar2p-DL uses a supervised learning approach, while the first phases combine supervised and unsupervised learning approaches. To analyze the performance of Ar2p-DL, several tests have been made using different benchmarks (datasets) from the UCI Machine Learning Repository, in order to compare Ar2p-DL with other classification methods.

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Desarrollo de aplicaciones basadas en microservicios: tendencias y desafíos de investigación
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Vera-Rivera, F. H. | 2019-10

Los microservicios son un enfoque arquitectónico y organizativo del desarrollo de software en el que las aplicaciones están compuestas por pequeños servicios independientes que se comunican a través de un API bien definida y protocolos ligeros. En este trabajo se realizó una revisión de literatura para identificar los desafíos y tendencias de investigación presentes en las fases del proceso de desarrollo y en la gestión de atributos de calidad de este tipo de aplicaciones. Las tendencias se encuentran en la fase de desarrollo y en la fase de diseño; los atributos de calidad más estudiados son la escalabilidad y la calidad del servicio. Los desafíos de la investigación se centran en: definir el nivel de granularidad de los microservicios, modularización y refactorización de servicios, integración con la interfaz de usuario, seguridad, orquestación, monitoreo, gestión y supervisión de microservicios, tolerancia a fallas, recuperación y auto reparación de microservicios.

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Administración, control y seguimiento de la pretemporada en el fútbol por medio de un sistema de información - Sinplafut1.0
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vera rivera, jose luis | 2019-10-07

La pre-temporada es la parte inicial de los procesos de adaptación deportiva que generalmente realizan todos los equipos de alto rendimiento, en Colombia solo en primera división hay 32 equipos de futbol profesional. La presente investigación tiene como objetivo el de desarrollar un sistema de información para mejorar y agilizar con la planificación de la pre-temporada en el futbol usando tecnologías de la información y la comunicación y técnicas modernas del entrenamiento deportivo. Se utilizó un tipo de investigación tecnológica aplicada dentro de un trabajo interactivo e interdisciplinario, entre expertos en entrenamiento deportivo y expertos en el desarrollo de sistemas de información y tecnologías, lo que permitió innovar en el proceso de la planificación de la pretemporada en el fútbol, para equipos, clubes, preparadores físicos, entrenadores y directores técnicos tanto a nivel aficionado como profesional. Esto permitió agilizar, gestionar y controlar de una mejor manera esta planificación, siendo está novedosa usando las siguientes tecnologías: metodologías de desarrollo ágil, los sistemas de información, la computación en la nube, la programación web, la computación móvil y las analíticas web. Con base en estas teorías se analizó, diseñó e implementó el sistema de información. Con el uso de tecnologías los entrenadores pueden tener información más precisa de sus procesos de entrenamiento, poseen indicadores que les permiten evaluar el rendimiento y estado de sus jugadores para obtener mejores resultados.

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Sinplafut: A microservices – based application for soccer training
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vera rivera, jose luis | 2019-11-19

Microservices are an architectural style of service-oriented applications that allow the application to be divided into independent and autonomous units, which can be individually developed, tested, deployed (mainly in the cloud), scaled and monitored. The application then becomes a composition and integration of small distributed systems. In this paper, a case study is presented, where the Information system for the planning of soccer training, is developed, following the architectural style of microservices. It presents the architecture defined for the information system and its implementation using DevOps practices, among them, continuous delivery, continuous deployment and automated tests. The level of granularity of each microservice is evaluated using domain-driven design and the definition of delimited contexts. Defining the optimal size of microservices is fundamental, directly affecting performance, maintainability, storage, transactions, distributed queries, use and consumption of network and computational resources. On the other hand, the development of the information system allows improving the planning of soccer training using modern sports training techniques. System for the planning of soccer training can be used by soccer teams, clubs, physical trainers, coaches and technical directors both amateur and professional, as a software as a service application.

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Development of a technological platform for teaching and training in competitive programming contests
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Vera Contreras, Milton Jesús | 2019-11-29

The competitive programming contests are competitions where the programming capacity and algorithm of the participants are measured. The objective of this work was to develop and implement a framework to formalize the working methodology of the competitive programming study group of the Universidad Francisco de Paula Santander and to develop a web-based training platform to monitor the work carried out within the study group. The intention with this platform is to give the students the tools they need to carry out their training, from the platform the student can study, can practice, can compete, and can improve their skills both in competitive programming, as well as in areas of programming and computer science. This work was carried out following an iterative methodology composed of the following phases: initially, the project has been formalized, analysis of the problem, preliminary details, and formation of the state of the art and theoretical reference. Then, the initial state of the group is diagnosed, a solution is proposed. After refining this solution proposal. Once implemented, information and metrics are gathered and the results are analyzed, already with a functional framework and a web platform, to detect problems and improvements, restarting the phases, for improving in each step those aspects that can be enhanced. The results obtained in the national and international contest have improved considerably and the participation and satisfaction of the students who are part of the study group were increased. The technological platform developed constitutes a confluence point for the study group, and a clear guideline to follow to advance in the process of continuous improvement that allows the university to achieve the best results in national and international programming competitions.

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Comparación de técnicas de minería de datos para identificar indicios de deserción estudiantil, a partir del desempeño académico
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PEREZ GUTIERREZ, BORIS RAINIERO | 2020-01-04

Uno de los grandes retos en las instituciones educativas consiste en poder establecer la posibilidad de retiro o deserción de sus estudiantes. En este artículo se presentan los resultados de un estudio de comparación de técnicas para apoyar la identificación de deserción estudiantil a partir del registro académico de los estudiantes de una Universidad en Colombia para el programa de Ingeniería de Sistemas. El registro académico se estableció para un periodo de 7 años. Árboles de decisión, regresión logística y Naive Bayes, fueron comparados para lograr establecer la mejor técnica de detección de desertores. Adicionalmente, la herramienta Watson Analytics de IBM fue utilizada para comparar su usabilidad y precisión para un usuario no experto. Nuestra experimentación demostró que el uso de algoritmos simples es suficiente para alcanzar niveles ideales de precisión. Estos resultados son presentados a la comunidad académica para ayudar en la disminución de la deserción estudiantil.

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Enseñanza de arquitectura de software en modalidad blended learning: Análisis de la percepción de estudiantes de maestría
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Pérez, Boris | 2020-03

La arquitectura de software, como componente clave de la educación en ingeniería de software, requiere que el estudiante desarrolle un conjunto de habilidades técnicas y sociales. En el curso de maestría Arquitecturas de Software Ágiles se decidió utilizar la modalidad Blended Learning. Es relevante, por tanto, conocer la percepción de los estudiantes de esta modalidad, de quienes están tomando el curso y de quienes lo vieron hace varios meses o años. Este artículo analiza la percepción de los estudiantes sobre el curso Arquitecturas de Software Ágiles enseñado en la Univ. de los Andes. La percepción de los estudiantes se midió mediante una encuesta anónima a los estudiantes que estuvieron matriculados en el curso para los períodos 2015-2018. Los resultados mostraron que 39,7% de los encuestados consideraron que aprendieron mejor en comparación con cursos presenciales. Adicionalmente, el aspecto más valorado por los encuestados fue el uso de los problemas de la industria.

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Implementación de un repositorio para el catálogo, búsqueda y uso de componentes software reutilizables en el desarrollo de aplicaciones web
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Vera-Rivera, F. H. | 2020-03-05

El desarrollo de software se caracteriza por ser un proceso complejo, requiere de inversión de tiempo, conocimiento de herramientas tecnológicas para su elaboración, su depuración y su despliegue. Sin embargo, con el paso de los años, se han desarrollado avances tecnológicos y metodológicos, que reducen considerablemente esta complejidad, convirtiendo dicha actividad en un proceso más intuitivo, controlable y rápido. La reutilización aparece como una alternativa para desarrollar aplicaciones y sistemas de una manera más eficiente y rápida. La idea es reutilizar elementos y componentes en lugar de tener que desarrollarlos desde un principio. A estas unidades se les conoce como componentes software reutilizables. La biblioteca o repositorio de componentes reutilizables es el corazón del desarrollo de software basado en componentes, permite catalogar, organizar, descubrir y reutilizar estos componentes. En este trabajo se desarrolló e implementó un repositorio de componentes de software reutilizables que apoye los procesos de desarrollo de aplicaciones web y la formación de estudiantes en el programa de Ingeniería de Sistemas de la Universidad Francisco de Paula Santander (Cúcuta, Colombia) llamada Colossal, permitiendo a los estudiantes y profesores buscar, compartir y reutilizar los componentes disponibles en el repositorio y usarlos en sus proyectos. Para evaluar el repositorio de componentes y verificar que cumple con su propósito se realizó un estudio cuantitativo descriptivo donde se evalúa el nivel de aceptación de la herramienta tecnológica, como resultado se obtuvo que la mayoría (94%) de los estudiantes y profesores respondió de manera positiva y se evidenció una buena aceptación del funcionamiento y uso del mismo.

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Portales Institucionales

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