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Análisis comparativo de los f= rameworks Grails y Spring para el desarrollo de un sistema inteligente

 

Comparative analys= is of the frameworks grails and spring for the development of an intelligent system

 

Edwin Fernando Mejía Peñafiel. [1]

 

Recibido: 12-07-2021 / Revisado: 26-07-2021 /Aceptado: 09-08-2021/ Publicado: 06-09-2= 021

 

 

Abstract                     =                 DOI: https://doi.org/10.33262/concienciadigita= l.v4i3.2.1912

Introduct= ion. The use of frameworks is addressed through the creation of an intelligent system in the field of medicine, implementing metrics that allow determining which framework presents the best benefits, the production rules of an expe= rt system will allow us to determine the type of disease that suffers a patient based on their symptoms. Objective. Verify the best features that ea= ch of the types of frameworks has in the development of applications of this t= ype. Methodology. This research is descriptive and comparative, it uses t= he SCRUM methodology for the development of the software and the IDEAL methodo= logy for the development of the expert system. Tests were carried out to determi= ne usability with 60% importance and productivity with 40% importance to frameworks, in this way to be able to establish which framework will be used within the development of the intelligent system. These percentages are gra= nted according to what is described in the ISO / EIC 25000 standard, which propo= ses that the requirements and metrics of the software focused on these two parameters be evaluated. Results. The Grails framework in the measurement with the quality parameters gives us 57.5% instead that the Spr= ing framework has 50%, while in productivity the values ​​for Grail= s is 40% and for Spring it is 25%, from here it is obtained that the framework w= ith which the software is going to be built is Grails. Conclusion. It is concluded that under the quality parameters within usability and productivi= ty, the percentages favor Grails, this result based on the principles described above, mainly the classes proposed in the framework.

Keywords: framework, agile methodologies, expert systems, intelligent systems, inference engine, knowledge base.

Resumen

Introducción. Se aborda el uso de framewo= rks a través de la creación de un sistema inteligente en el ámbito de la medici= na, implementando métricas que permitan determinar que fra= mework presenta mejores prestaciones, las reglas de producción de un sistema exper= to nos permitirán determinar el tipo de enfermedad que sufre un paciente basad= o en sus síntomas. Objetivo. Verificar las prestaciones mejores que tiene cada uno de los tipos de frameworks en el desar= rollo de aplicaciones de este tipo. Metodología. Esta investigación está c= omo descriptiva comparativa, usa la metodología SCRUM para el desarrollo del software y la metodología IDEAL para el desarrollo del sistema experto. Se realizaron pruebas para determinar la usabilidad con un 60% de importancia = y la productividad con 40% de importancia a los frameworks<= /span>, de esta manera poder establecer que framework s= erá utilizado dentro del desarrollo del sistema inteligente. Estos porcentajes = se otorgan de acuerdo a lo descrito en el estándar ISO/EIC 25000 el cual propo= ne que se evalúen los requisitos y métricas del software enfocados en estos dos parámetros. Resultados. El framework Grails en la medición con los parámetros de calidad n= os da un 57,5% en cambio que el framework Spring tien= e el 50%, mientras que en productividad los valores para Gr= ails es de 40% y para Spring es 25%, de aquí se obtiene que el framework con el que se va a construir el software es Grails. Conclusión. Se concluye que bajo los parámetros de calidad dentro de usabilidad y productividad los porcentajes favorecen a Grails, este resultado basado en los principios antes descritos, principalmente a l= as clases planteadas del framework.

Palabras claves: framework, metodologías ágiles, sistemas expertos, sistemas inteligentes, motor de inferencia, base de conocimiento.<= /span>

 

Introducción

Los frameworks son una ayuda para desarrollar proyectos informáticos, se puede hablar de varios tipos de frame= works como los de desarrollo, que se pueden subdividir en desarrollo de aplicacio= nes genéricas, web y mobile. Este tipo de frameworks   encontramos en la metodología o también denominada patrón de desarro= llo como la modelo vista controlador o MVC, mediante el cual podemos separar los componentes de una aplicación en la parte lógica, de eventos y de interfaz.  (Ca= rman, 2005).

Hacia los años 80, comienza a surgir la industria de los Sistemas Expertos (Waltz, 1997). Se realizan inversiones en países de Europa, Asia y América, para generar un sistema capaz de reproducir la actividad humana con la experticia que tiene en tópicos específicos.

El objetivo  de  este  trabajo de investigación  consiste  en realizar un análisis de los frameworks Grails y Sprin= gs bajo parámetros de calidad en el desarrollo de sistemas inteligentes que ayuden a mejorar  la  atención  de  los usuarios o pacientes=   en  un  ambiente clínico de nues= tro país. La investigación realiza comparación de las métricas de Proceso y métricas de Producto con cada tipo de framework= .

Metodología

Se va usar la metodología que se denomina avances por fases que se observa en la figura 1:

Fig= ura 1=

Me<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:"Times New Roman",serif; color:black;letter-spacing:-.2pt;mso-ansi-language:ES-EC'>todo= logía de avances por fases

 

 

 

 

ANÁLISIS DEL SISTEMA

 

RECOLECCIO= N DE INFO= RMACION

 

 

 

 

 

 

 

 

 

 

 

 

 

DISEÑO DEL SISTEMA

 

 

 

 

 

DESARROLLO= DEL SISTEMA

      =                                                                            =   

 

 

 

PRUEBAS

 

 

Fuente: Mejía (2021)

Proyecto= propuesto

Se pretende dar una solución para realizar un sistema inteligente basado en un= framework. El uso de un framework = para este tipo de aplicaciones puede dar mejores resultados en el momento de desarrollarlo de esta forma.

Aplicaciones Web=

Las aplicaciones web reciben este nomb= re porque se ejecutan en internet. Es decir que los datos o los archivos en los que trabajas son procesados y almacenados dentro de la web. Estas aplicacio= nes, por lo general, no necesitan ser instaladas en tu computador.

El concepto de aplicaciones web está relacionado con el almacenamiento en la nube. Toda la información se guarda= de forma permanente en grandes servidores de internet y nos envían a nuestros dispositivos o equipos los datos que requerimos en ese momento, quedando una copia temporal dentro de nuestro equipo. (GCF, 2021)

Framework

Un Framework es una estructura previa = que se puede aprovechar para desarrollar un proyecto. El Framework es una espec= ie de plantilla, un esquema conceptual, que simplifica la elaboración de una tarea, ya que solo es necesario complementarlo de acuerdo a lo que se quiere realizar. A pesar de que su uso más común es en la informática, este concep= to es también es utilizado hoy en día dentro de sistemas inteligentes (Muente G, 2020).

Java

Java es un lenguaje de programación y = una plataforma informática comercializada por primera vez en 1995 por Sun Microsystems. Hay muchas aplicaciones y sitios we= b que no funcionarán a menos que tenga Java instalado y cada día se crean más. Ja= va es rápido, seguro y fiable. Desde portátiles hasta centros de datos, desde = consolas para juegos hasta súper computadoras, desde teléfonos móviles hasta Interne= t, Java está en todas partes (Oracle, 2021).

Java Enterprise E= dition

Java Enterprise E= dition, Java EE en adelante, es un conjunto de estándares de tecnologías dedicadas = al desarrollo de Java del lado del servidor. La plataforma Java EE consta de un conjunto = de servicios, API y protocolos que proporcionan la funcionalidad necesaria para desarrollar aplicaciones basadas en web de varios niveles. Es decir, desarrollaremos aplicaciones empresariales distribuidas, con arquitecturas multicapa, escritas en Java y que se ejecutan en un servidor de aplicaciones (Fontanet B., 2016).

Spring Framework=

Un framework, es un conjunto de herramientas y librerías que facilitan el desarrollo de una aplicación, permitiendo la reutilización de código previamente preparado pa= ra la ejecución de cierta tarea. En otras palabras, si deseas desarrollar una aplicación, puedes optar por escribir manualmente el código correspondiente para cada proceso que necesites, como validación, formulario, interacción c= on la base de datos, etc., o utilizar el conocimiento de muchos otros programadores que ya lo hicieron y lo empaquetaron en un framework para que lo utilices (Unipython, 2021).

Arquitectura Spring Framework

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; color:black;mso-ansi-language:ES-EC'>SpringFramework (creado por Rod<= /span> Johnson en 2004) es una herramienta que nace con la intención de simplifica= r y facilitar la construcción de aplicaciones JEE. El problema de rendimiento al utilizar los EJB en JEE hizo buscar una solución para mejorar y agilizar el desarrollo de aplicaciones Java.

En la siguiente figura se pueden ver t= odos los módulos que integra Spring:

 

Figura 2

Arquitectura de Spring Framework<= /o:p>

Fuente: Cuervas (2021)

<= b>Grails Framework

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; color:black;mso-ansi-language:ES-EC'>Grails es un framework<= /span> para el desarrollo de aplicaciones web basado en el lenguaje de programació= n Groovy, que a su vez se basa en la Plataforma Java. <= span class=3DSpellE>Grails está basado en los paradigmas convención sobre configuración y DRY (don't repite yourself) o no te repitas, los cuales permiten al programador olvidarse en gran parte= de los detalles de configuración de más bajo nivel.

Como la mayoría de los framework de desarrollo web, Grails está basado en el pat= rón Modelo Vista Controlador (MVC). En Grails los m= odelos se conocen como clases de dominio que permiten a la aplicación mostrar los datos utilizando la vista. A diferencia de otros frame= works, en Grails las clases de dominio son automáticam= ente persistidas y es incluso posible generar el esquema de la base de datos. (Universidad de Alicante, 2013). En la figura 3 se muestra la arquitectura = Grails y sus componentes.

Figura 3

Arquitectura Grails y = sus componentes

=

Fuente: Smith & Ledbrook (20= 09)

Un sistema inteligente es una aplicaci= ón informática que posee en una Base de Conocimiento (BC) toda la información = de varios expertos para resolver un problema dado. Los componentes principales= de un SE son: Experto Humano, BC que está compuesta de Hechos y Reglas, el Mot= or de Inferencia que ejecuta las reglas basada  en  los  hechos  contestados  por  el  usuario,  la Interfaz de Usuario y el Usuario quien utiliza el sistema.

MYCIN es un SE para diagnósticos, iniciado  por<= span style=3D'mso-spacerun:yes'>  Ed  Feigenbaum  y  posteriormente desarrollado por E. Shortliffe. Su función es la de aconsejar a los médic= os en la investigación y determinación de diagnósticos en el campo de las enfermedades infecciosas de la sangre (Badaro e= t al., 2013). En la figura 7 se muestran los componentes de un SE.

Condiciones para verificar las reglas = de producción para un sistema experto

En la tabla 1 se muestran los hechos o antecedentes de una regla tanto en el “si” como en el “y” y “o”, además en = el “entonces” tenemos la conclusión de la regla o consecuente.

Tabla 1

Reglas de Producción con sus anteceden= tes y consecuentes

Si<= /span>

Y<= /p>

O<= /p>

ENTONCES

Tiene fiebre

-    Tiene estornudo<= /o:p>

-    Arde la nariz

- Moquera

-    Paciente sufre  de gripe

Tiene gripe

-  Dificultad para degluti= r

-  Dolor del oído

-  Escalofríos<= /span>

-  Dolor de cabeza

-  Dolor de garganta  por más de 48 horas=

-  Sensibilidad a la mandí= bula y la garganta

 

-  Paciente sufre  de amigdalitis aguda

Fuente: Mejía et al. (2018)

Resultados

Esquema a dar solución como prototipo – En la figura 4 encontramos el nivel= de complejidad que puede tener un motor de inferencia cuando se tiene n enfermedades con sus correspondientes síntomas, además se tiene que preveer que el usuario por si no sabe nada de diagnós= tico médico.

Figura 4

Motor de infer= encia y las reglas de producción

Fuente: Mejía et al. (2018)

En= la figura 5 se encuentra un diagrama general de las enfermedades con sus respectivos síntomas obtenidos de la tabla 1.

Figura 5

Diagra<= span style=3D'letter-spacing:-.15pt'>ma general de enfermedades y sus síntomas

Fuente: Mejía et al. (2018)<= /span>

Interfaz hombre - máquina – Este sistema experto que  se  va  a  realizar está compuesto por  un  motor de inferencia el  cual infiere las reglas y las encadena de acuerdo al algoritmo propuesto desde l= a BC hacia la interfaz de usuario y desde la interfaz de usuario hacia la BC, en= su conjunto tiene los hechos o preguntas que el sistema  realiza  al  usuario y  que  se  muestra  en  una etiqueta dentro de Java con dos botones Si y No, los cuales se almacenan en= la misma con 1 si contesta Si y con -1 si contesta No, algunos   usuarios   no   pueden   contestar   la   pregunta entonces exist= e el botón siguiente. Además el usuario que sabe un poco más puede contestar con  FC (Facto= r de Certeza de un síntoma) entre [-1 y 1] siendo -1 totalmente en desacuerdo, 0= no sé y 1 totalmente de acuerdo. La metodología de construcción del motor de inferencia está bajo  programación  estructurada,  se tiene  alrededor  de 100 enfermedades con sus respectivos síntomas.<= /p>

Motor de inferencia – Para poder detectar las enfermedades  se  usará  el  siguiente  código,  que  se resuelve con un diagnóstico final o definitivo y cuando existen síntomas insuficientes para procesar las reglas (Mejía et al., 2018).

En la figura 6 se tiene el código para el motor de inferencia:

Figura 6

Código para el motor de inferencia

=

Fuente: Mejía et al. (2018)<= /span>

La utilidad de los encadenamientos de reglas basados en  reglas de  producción o  reglas de  inferencia, puede= darse buscando el hecho de esa regla con sus correspondientes otros hechos que se unen para dar solución a una sola regla, y así sucesivamente para todas las reglas que tiene el sistema experto en sí, dentro de su BC.

En ambientes de prueba realizados nos han dado buenos resultados con un protot= ipo diseñado. (Mejía et al., 2018).

Infraestructura del  proyecto  Para este proyecto utilizaremos la figura 7 en la cual se muestra como estaría hecho el sistema experto. La idea principal es dar solución a través  de  las  reglas  de  producción  y el modelo MYCIN,  dando mayor fluidez al encadenamiento de reglas y dependiendo siempre del conocimiento que se ingr= ese. El sistema como se observa está compuesto de 2 partes principales: el siste= ma informático en si por donde se va ingresar la información y el sistema expe= rto con las interfaces  debidas   para   cada   uno como son el médico y el experto,   y   la   base   de  conocimiento  centralizada  de  donde  se  tomarán  los hechos y las re= glas para poder procesar la información y así poder obtener el resultado deseado= que es visualizar el diagnóstico del paciente basado en los síntomas del mismo.=

Figura 7

Sistemas interconectados del proyecto<= o:p>

Fuente: Mejía et al. (2018)<= /span>

El  proces= o  de  la  toma  de  decisiones por  parte  del motor de inferencia depende de los hechos y las reglas de produc= ción que se encuentren bien conectadas en la base de  conocimiento  para  que  el  sistema  experto  pueda obtener una respuesta adecuada (Mejía et al., 2018).

= C<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:"Times New Roman",serif; color:black;mso-ansi-language:ES-EC'>a= racterísticas del proyecto

El sistema inteligente tiene las siguientes características que se muestran en la Tabla 2:=

 

Tabla 2

Sistema para medicina

DESEMPEÑO

CARACTERISTICAS  

Tipo de inteligencia          

El reconocimiento de enfermedades lo hace como si estuviera un médico

Capacidad inferencial       

Recibe antecedentes del entorno mediante la interfaz de usuario es decir a través del enfermo o cliente.

Objetivo                               

Obtener una enfermedad a través de los síntomas

Reglas de actuación          

Interpreta los síntomas ingresados o antecedentes dentro del sistema y las compara con los que tiene en la BC.

Sistematización

Correlación entre los subsistemas que tiene el proyecto para permitir el mejor desempeño

Robustez

Reglas de producción bien definidas

Fue<= span lang=3DES-EC style=3D'font-size:12.0pt;font-family:"Times New Roman",serif; color:black;letter-spacing:.1pt;mso-ansi-language:ES-EC'>nte:= Mejía (2021)

Programación en = Grails

El  lenguaje  de  programación que  emplea  Grails  es Groovy, Groovy fue  implementado en  java,  he  ahí  el motivo  por  el  que  todas  las  clases,  librerías java  son totalmente  compatibles  con  <= /span>Grails  y  por  ende  con Groovy, la sintaxis de Groovy es totalmente descriptiva= , es así que cualquier archivo que dentro de su nombre tenga las siglas “controllersera un contr= olador, si dentro de su nombre tiene las siglas “service” será un servicio además de que los controladores se encuentran dentro del directorio Controllers, las clases dentro del directorio Domain Classes<= /span>, etc.

El siguiente ejemplo   de la clase estudiante no= s dará una mejor visión del lenguaje Groovy y de la programación en Grails (Sevilla et al., 2015).<= o:p>

//1.-  Definicion<= /span> del paquete dentro del que se encuentra la clase de dominio

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; color:black;letter-spacing:-.05pt;mso-ansi-language:ES-EC'>package prototipo02sesa=

//2.- Defincicion de la clase de dominio Paciente

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; color:black;letter-spacing:-.05pt;mso-ansi-language:ES-EC'>class Paciente {=

//3.- Definicion de atributos para la clase paciente

String ci_Pac String <= span class=3DSpellE>nombres String apellidos = Date fec_Nac

String prob_Salud=

String discapacidad

String grado_Discapacidad

String telefono

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; color:black;mso-ansi-language:ES-EC'>String dirección

//4.-  Cardinalidad entre Paciente y la historia clinica ademas de Cardinalidad entre Paciente y Medico

static belongsTo =3D[historia:Historia, medico:Medico]

//4.1.-Cardinalidad entre Paciente y Habitos

static hasMany =3D[habitos:Habitos

//5.-Validaciones para los atributos de la clase Paciente

static constraints =3D<= /o:p>

{

ci_Pac(<= /span>bl= ank:false, matches:= '[1-9]{10}', unique:true) nombres(blank= :false, maxSize:80) apellidos(blank:false, maxSize:80) = fec_Nac(validator:{return(it<new Date())}= ,blank:false) prob_Salud(<= span class=3DSpellE>blank:false, maxSize:80)

discapacidad(inList= :["Fisica","Mental",= "Auditiva","Visual"])

grado_Discapacidad(inList:['25%','50%','75%','100%'])

telefono(matches:'2[1-9]{6}')

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; color:black;mso-ansi-language:ES-EC'>direccion(blank:false)

Como se puede ver   el framework Grails es una herramienta tan completa que dentro del= mismo archivo en el que definimos la clase son sus atributos, es posible definir = las restricciones, validaciones y hasta las cardinalidades o  relaciones que  una  clase  de  dominio tiene con otra clase de dominio= (Sevilla et al., 2015), pero es nece= sario tener en claro que las cardinalidades se mapean directamente a la base de d= atos para de esta manera generar automáticamente el  modelo  de  datos  sin  necesidad de generar la= base de datos con el modelo y luego pasar a configurar la aplicación, he aquí aplicado el precepto de Grails Convención sobre Configuración (Brito, 2009).=

Procesamiento de la información

La realización del análisis comparativo entre los Frameworks Grail= s y Spring en lo referente a Usabilidad y Productividad permitirá implementar= el sistema inteligente para medicina con el framework más óptimo lo que reducirá tiempo de desarrollo, mejorará la calidad, disponibilidad y administración de la información que el sistema manejará y= sin lugar a dudas mejorará la calidad del software (Sevilla et al., 2015).

Los indicadores empleados se los resum= e en dos tablas una para Usabilidad y otra para Productividad, se estableció una escala de valoración cuantitativa de 0 al 4 que evaluará las cualidades par= a lo referente a Usabilidad y  a  las  características que  se  propone  dentro  de  esta temática, para lo referente a productividad se tiene parámetros establecidos a una escala de valoración cuantitativa del 0 al 4, será necesario realizar una interpretación y posiblemente una  conversión de  datos empleando regla de tres para adap= tar la información obtenida a la información requerida en la investigación, y finalmente se implementará una tabla resumen en la que se muestre los resultados obtenidos para cada uno de los Frameworks (Sevilla et al., 2015).

La   información   obtenida   como   resultados   será recogida d= e los ambientes de prueba que son:

 

Tabla 3

Ambientes de prueba<= /i>

AMBIENTES
DE PRUEBA

Determinación del mejor framework en
lo referente a Usabilidad

Escenario 1: Prototipo implementado con Grails

Escenario 2: Prototipo implementado con Sp= ring

Determinación del mejor framework en
lo referente a Productividad

Escenario 1: Prototipo implementado con Grails

Escenario 2: Prototipo implementado con Sp= ring

Fuente: Sevilla et al. (2015)

Población y muestra<= /b>

Una vez comprendida la problemática planteada, definidos los objetivos de investigación y las variables que for= man parte de la misma es importante el determinar la población y la muestra con= la que se realizaran las pruebas que demanda el análisis comparativo, constituyéndose en la población los elementos a analizar que para este caso= son Frameworks para desarrollo de aplicaciones web = dentro del entorno Java, existen un gran número de Frameworks= que funcionan con JVM (Sevilla et al., 2015), dentro de  la  plataforma  java  entre  los  más  populares  y  con mayor uso en la actualidad se encuentran PrimeFaces, IceFaces, JSF, Google web Toolki= t, Spring, Struts, Grails, de  los  cuales  se  toma  como  muestra  los  <= /span>Frameworks Grails y Sprin= g dadas las características que poseen, es importante destacar que según la página = de javaHispano el Framework más empleado es Spring en ta= nto que Grails se ubica en la quinta posición, pare= cería una contradicción pues uno de los pilares de Grails es Spring, por lo que Grails a parte de las funcionalidades que Spring posee implementa otras más propias  de  este  Framework  que  se  constituye  en  una fusión de varias tecnologías y hasta cierto punto varios Frameworks  en Uno solo “GRAILS”, por este motivo se decidió tomar como variable independiente a estos dos = Frameworks Spring y Grails (Sevilla et al., 2015).

Por lo que se ve la necesidad de evalu= ar estos dos Frameworks para de esta manera determ= inar cuál es Framework que posee las mejores prestaciones en lo referente a usab= ilidad y productividad, elementos indispensables y decisivos al momento de elegir = una plataforma para el desarrollo de aplicaciones software.

Determinación de parámetros y comparac= ión

La  necesidad  de  determinar  que  Framework da  las mejores prestaciones en lo referent= e a usabilidad y productividad, para la implementación del sistema de evaluació= n y seguimiento de apraxias ha dado como resultado  el  realizar  un  análisis  comparativo entre<= span style=3D'mso-spacerun:yes'>  los Frameworks Grails y Spring.

Para tomar las mediciones en cuanto a usabilidad y productividad de cada uno de los Framewor= ks se implementarán dos prototipos uno con Grails = y otro con Spring, mismos que permitirán tener una noción más real de las prestaci= ones que cada uno de estos Frameworks ofrece y en ba= se a ellas determinar cuál es el mejor (Se= villa et al., 2015).

Sevilla et al. (= 2015), establece que para obtener las métricas adecuadas y que se ajusten al desarrollo de software h= emos empleado el estándar de la familia ISO 25000 (Square, = System and Software Quality Requi= rements and Evaluation), estándar en el que se citan parámetros en la Calidad del producto Software, teniendo en cuenta que un producto de calidad se obtendrá únicamente cuando el proceso para conseguir= lo también es de calidad, parámetros que ha saber son:

·&nb= sp;        Funcionalidad

·&nb= sp;        Rendimiento

·&nb= sp;        Compatibilidad

·&nb= sp;        Usabilidad

·&nb= sp;        Fiabilidad

·&nb= sp;        Seguridad

·&nb= sp;        Mantenibilidad

·&nb= sp;        Portabilidad

Por  la  naturaleza cualitativa de  las  características a comparar se requiere establecer un modelo que perm= ita determinar cuantitativamente el framework con m= ejores prestaciones.

Los parámetros que se tendrán en cuenta para la presente   investigación   se   han   tomado   de   trabajos similares  existentes  en  la  unidad  documental  de  la Escuela Superior Politécnica de Chimborazo así como en base a las necesidad= es que la presente investigación demanda, el estándar ISO 25000 para la calidad del producto de software, tomando únicamente la parte que hace referencia a= la Usabilidad y como parte del análisis de  productividad se  tomó  la  mantenibilidad, líneas  de c= ódigo, componentes reutilizables, parámetros que se detallan a continuación: =

Tabla 4

Parámetros a comparar

Parámetros

Parámetro 1

Parámetro 2

Parámetro 3

Parámetro 4

Parámetro 5

Parámetro 6

Usabilidad

Inteligibilidad

Aprendizaje

Operabilidad<= /o:p>

Protección a error= es de usuario

Atractividad<= /o:p>

Accesibilidad=

Productividad=

Líneas de
código

Mantenibilidad

Componentes
reutilizables

 <= /span>

 <= /span>

 <= /span>

Fuente= : Sevilla et al. (2015)

Cada uno de estos parámetros ayudaran a determinar cuál es el mejor framework para lo cual a cada = una de las cualidades daremos un valor cuantitativo que determine el cumplimiento = en una escala de valores como la que se muestra a continuación:

Tabla 5 =  

Criterios y valor

Criterio

Valor

No cumple

0

C= umple en un mínimo grado

1

Fuente: Sevilla et al. (2015)

Dada la naturaleza de la investigación= y tomando en cuenta la importancia que tiene la usabilidad en los productos software, se dio un 60% de importancia a la usabilidad y un 40% de importan= cia a la productividad, porcentajes que se tomaron por  lo descrito en el estándar ISO/E= IC 25000 mismo que propone una evaluación de los requisitos y métricas del producto software enfocados en su mayoría a la usabilidad, tal cual como se muestra = en la Tabla6.

Tabla 6 =  

Tabla de valores usabilidad=

U= sabilidad

P= untos Posibles

P= orcentaje signado

I= nteligibilidad

0-4

10%

A= prendizaje

0-4

10%

O= perabilidad

0-4

10%

P= rotección a errores de usuario

0-4

10%

A= tractividad

0-4

10%

A= ccesibilidad

0-4

10%

TOTAL

24

60%

Fuente: Sevilla et al. (2015)

Sin quitar valor a la productividad tal cual como se muestra en la Tabla7, pero teniendo en cuenta que si bien es importante para quienes desarrollamos software la usabilidad se constituye = en un factor decisivo al momento de elegir la plataforma de desarrollo, por lo= que en el estándar la Usabilidad se presenta como una Categoría para la evaluac= ión de la calidad del producto software en tanto que la Productividad únicament= e se la menciona como una sub Categoría y se la toma de lo descrito en el estánd= ar anterior a este que es el ISO/EIC 9126 y el estándar ISO/EIC 14598. (Sevilla et al., 2015).

Con base a lo mencionado en el párrafo anterior se tiene  la  siguiente  tabla  con  los  porcentajes  y ponderaciones para  cada  variable  analizar  (Usabilidad, Productividad).

Tabla 7 =  

Tabla de valores productividad

P= roductividad

&= nbsp;

V= alores
posibles

V= alor del
factor

P= orcentaje
Asignado

Líneas de código

L= ínea de código en clases

0-4

16

13,30%

L= ínea de código en controladores

0-4

L= ínea de código en servicios

0-4

L= ínea de código en vistas

0-4

M= antenibilidad

M= antenibilidad de clases

0-4

16

1= 3,30%

 

Tabla 7 =  

Tabla de valores productividad (contin= uación)

Productividad

&= nbsp;<= o:p>

Valores
posibles

Valor del
factor

Porcentaje
Asignado

M= antenibilidad

M= antenibilidad de controladores

0-4

16

13,30%

M= antenibilidad de vistas

0-4

M= antenibilidad de servicios

0-4

Componentes
Reutilizables

R= eutilización de clases

0-4

16

13,30%

R= eutilización de controladores

0-4

R= eutilización de vistas

0-4

R= eutilización de servicios

0-4

TOTAL

&= nbsp;

48

48

40%

Fuente: Sevilla et al. (2015)

= Como se puede observar en la Tabla7 el valor de productividad es de 40% referente a los valores que se van analizar.

= En la Tabla8 se presenta un resumen con los porcentajes de usabilidad y productividad para el estudio de esta investigación.

Tabla 8 =  

Tabla de resumen=

V= ariable

Total puntuación Máxima posible=

Total Porcentaje Máximo posible=

U= SABILIDAD

24

60%

P= RODUCTIVIDAD

48

40%

T= OTAL

72

100%

Fuente: Sevilla et al. (2015)

Parámetros para medir la Usabilidad de los Frameworks. Inteligibilidad.

La inteligibilidad según el diccionario se refiere= a Qué puede ser comprendido o entendido (Farlex, = 2013), para nuestro caso la inteligibilidad se ve asociada a la capacidad del framework que permite al usuario entender si el framework es el adecuado y la manera de emplearlo par= a tareas y condiciones particulares (Sevilla et al., 2015).

Inteligibilidad para Grails

Teniendo en cuenta la definición de Inteligibilida= d se dio una calificación a cada uno de los frameworks para lo cual se tomó en cuenta la experiencia con cada uno de ellos  así  como  la  información encontrada  en  estudios previos  publicados=   en  la  web  como  Decidiendo  entre Java, Groovy/Grails, dando como resultado la siguiente tabla (Sevilla et al., 2015).

Inteligibilidad para Spring<= /p>

La experiencia así como= la información existente sobre el Framework Spring han sido quienes demuestren= que Spring se constituye en una herramienta muy potente y con las prestaciones necesarias para resolver cada uno de los requisitos que el usuario pueda te= ner, empleando ciertos plugins y librerías para requerimientos específicos como los de seguridad, control de accesos entre otros (Sevilla et al., 2015).

Tabla 9 =  

Tabla de Usabilidad entre Grails y Spring

Usabilidad

Puntuación
GRAILS

Porcentaje
GRAILS

Puntuación
SPRING

Porcentaje
SPRING

I= nteligibilidad

4

10%

4

10%

A= prendizaje

4

10%

2

5%

O= perabilidad

4

10%

2

5%

P= rotección a errores de usuario

3

7,50%

4

10%

A= tractividad

4

10%

4

10%

A= ccesibilidad

4

10%

4

10%

TOTAL

23

57,50%

20

50%

Fuente: Sevilla et al. (= 2015)

Como se mencionó anteriormente la usabilidad tiene un valor porcentual del 60% por lo que los resultados obtenidos son teniendo en cuenta esta base, para la determinación de porcentajes se empleó la siguiente formula:

Valor Porcentual =3D (totalPuntuacionObtenida*60%)/(Puntuacion Maxima a Alcanzar)

Porcentaje_Grails =3D (23*60%)/24 =3D 57,50% 

Po= rcentaje_Spring =3D (20*60%)/24 =3D 50%

Eficiencia del sistema planteado<= /o:p>

Para la productividad se tomaron parámetros que relacionan el número de líneas de código generadas para cump= lir con el o los requerimientos de un determinado sprint, es importante anotar = que para medir productividad o establecer las métricas que la determinen es indispensable saber que los criterios para establecer métricas de productiv= idad son capacidad de ser medido y objetividad, generalidad, significancia, e  independencia.

(Van Laer <= span style=3D'letter-spacing:-.05pt'>et al., 2015).

·         Líneas de código por sprint

·&nb= sp;        Líneas de código en clases

El primer Sprint es el de Administraci= ón de Pacientes, médicos y la historia clínica por lo que se implementaron las clases correspondientes y al contabilizar las líneas de código  los  resultados arrojados en  cad= a  framework se muestra en la tabla 10.

Tabla 10 =  

Líneas de código en clases<= /span>

F= ramework

L= íneas de Código en Clases

Grails

80

S= pring

1184

Fuente: Sevilla et al. (2= 015)

En la Tabla11 se muestra una comparativa entre el = framework Grails y Spring referente a su productividad.

Tabla 11 =  

Tabla comparativa de Productividad ent= re Grails y Spring

PRODUCTIVIDAD

Puntuación
GRAILS

Porcentaje
GRAILS

Puntuación
SPRING

Porcentaje
SPRING

L= ínea de código en clases

4

3,33

0

0

L= ínea de código en controladores

4

3,33

0

0

L= ínea de código en servicios

4

3,33

0

0

L= ínea de código en vistas

4

3,33

0

0

M= antenibilidad de clases

4

3,33

3

2,5

M= antenibilidad de controladores

4

3,33

3

2,5

M= antenibilidad de vistas

4

3,33

4

3,33

M= antenibilidad de servicios

4

3,33

4

3,33

R= eutilización de clases

4

3,33

4

3,33

R= eutilización de controladores

4

3,33

4

3,33

R= eutilización de vistas

4

3,33

4

3,33

R= eutilización de servicios

4

3,33

4

3,33

TOTAL

48

40%

30

25%

Fuente: Sevilla et al. (2= 015)

En el caso del prototipo resultó basta= nte eficiente con las clases planteadas, ya que como vemos en la tabla 10 y 11 = donde se muestra los resultados de la investigación tenemos que el framework Grails es con e= l que se va a trabajar en el desarrollo del sistema inteligente para medicina.<= /o:p>

El emplear estándares de calidad como = los empleados en la presente investigación permite tener una mayor visión y comprensión del objeto de investigación, además de brindar un respaldo y av= al científico a los resultados obtenidos en una investigación.

Discusión

La  toma  de  decisiones  respecto  al  framework a escoger se basa en los parámetros de cali= dad con la usabilidad y la productividad para el desarrollo  del sistema inteligente de medicina, pa= ra este caso se escogerá el framework Grails. La dimensión del tiempo en cuanto a  respuesta d= el sistema esta medido en segundos.

La metodología SCRUM nos ayuda a determinar parámetros de calidad en cada fase del desarrollo de software, y= en el momento que se comience a desarrollar por completo el sistema se verán l= os resultados óptimos del mismo, ya que todavía toca hacer unos ajustes, dado = que solamente se hizo para un prototipo. A pesar de esto el prototipo está dando los resultados que se espera en cuanto a nivel de confianza y tiempos de respuesta del sistema.

Ahora también hay que decir que se presentó un problema en el momento de ejecutar el prototipo, es el de las diferentes clases que se tiene que implementar. Hay que prever que cada cla= se creada cumpla con sus términos deseados; por eso se tomó la situación de realizar clases solas como se dijo anteriormente.

La metodología IDEAL es un punto muy importante al momento de comenzar a realizar nuestra base de conocimiento y= el motor de inferencia para el Sistema Experto de medicina.<= /p>

Como trabajos futuros se propone reali= zar estudios más profundos con otros tipos de frameworks y en ambientes de trabajo.

C<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; color:black;mso-ansi-language:ES-EC'>onclusiones

     = En este artículo se ha realizado un análisis= de los frameworks Grails y Spring para el desarrollo de sistemas inteligentes basado en reglas de producción para solucionar el  problema  de  atención  a  pacientes  en  la ciudad de Riobamba, provincia de Chimborazo, país el Ecuador.

     = El uso de frameworks es de gran = ayuda para este tipo de software, = pero hay que saber escoger el mejor, al momento de desarrollarlo.

     = Los problemas por donde hemos ido en este campo de la creación del sistema inteligente fueron algunos, pero no complejos = ya que en el camino se fue encontrando las soluciones adecuadas.

     = El framework Grails en la medición con= los parámetros de calidad nos= da un 57,5% en cambio que el fra= mework Spring tiene el 50%= , mientras que en productividad los valores para Grails es de 40% y para Spring es 25%, de aquí se obtien= e que el framework con el que se va a construir el software es Grails.

     = La importancia radica que basado en el desarrollo de este sistema inteligente, el sistema experto procesa reglas de producción que según sus antecedentes o síntomas ingresados del paciente nos dan la enfermedad que el mismo padece, con esto se puede obtener un diagnóstico con hasta  un  90%  <= /span>de  efectividad, = en lo referente a usabilidad y productivida= d. Considero que es un software muy útil para que el problema de saber usar un framework u otro dentro de sistemas inteligentes y podernos dar una solución

 

Referencias bibliográficas

 

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; mso-ansi-language:ES-EC'>Badaro S, Ibañez L and Agüero M. (2013).   Sistemas Expertos: Fundamentos, Metodo= logías y Aplicaciones. Consultado el 15 de junio de 2000http://www.palermo.edu/ing= enieria/pdf2014/13/CyT_13_24.pdf.

Brito, P. (2009). Ingeniería de sistemas expertos. Edi= torial Nueva Librería. ISBN: 987-1104-15-4

<= span lang=3DES-EC style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; mso-ansi-language:ES-EC'>Carman, J.M. (2005). Blended Learning Design: Five Key Ingredients. Learning Technical Report. Agilant.

<= span lang=3DEN-US style=3D'font-size:12.0pt;line-height:115%;font-family:"Times = New Roman",serif; mso-ansi-language:EN-US'>Cuervas, J. (2021). Qué es Sp= ring Framework – Características. Consultado el 20 de abril de 2021. https://www.ats= istemas.com/blog/qu-es-spring-framework-caractersticas-i<= /p>

Farlex. (2013), "Fundamentals of expert systems", en Ann. Rev.  Comput. Science, 3.

Fontanet, B. (2016). Java EE y el desarrollo web: Un enfoque de aprendizaje. Consultado el 18 de abril del 2020. https://www.fundesem.es/bt= /publicacion-java-ee-y-el-desarrollo-web-un-enfoque-de-aprendizaje

Mejía, F., Vaca, B. y Menes, = I. (2018). Metodología de construcción de un sistema experto utilizando reglas= de inducción con programación estructurada.

Mejía,  F. (2021).  Algoritmo de programación estructurada enfocado a la detección y conteo vehicular de manera inteligente en una intersección.

Muente, G. (2020). Guía completa del Framework: qué es, cuáles tipos exist= en y por qué es importante en Internet. Consultado el 20 de noviembre del 2020. = https://rockcontent.com/es/blog/framework/

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Sevilla, M., Hidalgo, M., Mejía, F. y Santillán, J. (2015). Análisis Comparativo entre los Frameworks Grails y Spring para el Desarrollo del Sistema de Evaluación y Seguimiento de Apraxias. Escuela Superior Politécnica de Chimborazo. Facultad de Informática y Electrónica. Carrera de Ingeniería en sistemas informáticos. Consultado el 16 de enero de 2018. http://dspace.esp= och.edu.ec/handle/123456789/4588

Smith, G., Ledbrook, P. (2009). Grails in Action. Manning Publications Co.

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Universidad de Alicante. (2013). Introducción a Grails. Departamento de Ciencia de la Computación e Inteligencia Artificial. Consultado el 16 de octubre de 2020. http://www.jtech.ua.es/j2ee/restringido/grails/sesion03-apuntes.pdf

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PARA CITAR EL ARTÍCULO INDEXADO.=

 

 

Edwin Fernando. (2021). Análisis comparativo de los frameworks = Grails y Spring para el desarrollo de un sistema inteligente. ConcienciaDigital, 4(3.2), 118-137= . https://doi= .org/10.33262/concienciadigital.v4i3.2.1912

 

 


 

 

 

El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revista Concienc= ia Digital.

 

El artículo queda en propiedad de la revista y, por tanto, su publica= ción parcial y/o total en otro medio tiene que ser autorizado por el director de= la Revista Conciencia Digital.

 

                                                 =                                                                            =                       

 

 

 <= /o:p>

 



[1] Escuela Superior Politécnica= de Chimborazo, Facultad de Ciencias, Carrera de Ingeniería Estadística, Chimbo= razo – Riobamba, efmejia@espoch.edu.ec, msmejiaedwinf@yahoo.com.

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www.concienciadigital.org

                                                 =                                                                       ISSN: 2600-5859

                                                   =                        Vol. 4, N°3.2, p. 118-137, septiembre, 20 21

Diseño Educativo                                                =                                                                =                              Página 95<= /span>

 

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