Sistema de información para la gestión logística: Una revisión sistemática
DOI:
https://doi.org/10.70990/rics.v7i1.50Palabras clave:
administración, backend, frameworks, frontend, Administración, backend, frameworks, frontend, web.Resumen
Entender las tendencias en el desarrollo de software de gestión logística es esencial para adaptar las herramientas tecnológicas a las necesidades emergentes del sector. Se plantearon cinco problemas de investigación: identificar los frameworks backend más usados en el incremento de sistemas de gestión logística por los últimos 5 años; determinar los frameworks frontend más comunes para construir interfaces de usuario en estos sistemas; conocer las bases de datos más empleadas en sistemas web de gestión logística; evaluar las técnicas de inteligencia artificial más utilizadas en el acrecentamiento de sistemas de información de logística; para reconocer los patrones de diseño de software más aplicados en estos sistemas. Tras la indagación completa en diversas bases de documentos, se obtuvieron 455 artículos en Scopus, 36 en Scielo, 385 en Science Direct, 63 en Google Scholar, 23 en IEE Explore y 40 en DOAJ. Aplicando criterios de exclusión, se seleccionaron 53 artículos para el análisis, utilizando la metodología PRISMA. Los resultados muestran que en frameworks backend, Spring es el más utilizado con un 40%, seguido por Express.js con un 20%, mientras que Django y Ruby han caído a un 0%. En frameworks frontend, React es el más destacado con un 45%, seguido por Bootstrap con un 25%, con Vue.js y Svelte mostrando incrementos menores. En bases de datos, MySQL es predominante con un 30%, seguido por PostgreSQL y MongoDB con un 20% y 15%, respectivamente. Las técnicas de inteligencia artificial más comunes son el aprendizaje supervisado (30%), redes neuronales (25%) y procesamiento de lenguaje natural (20%). En patrones de diseño de software, Singleton lidera con un 30%, Factory Method muestra una recuperación parcial al 15%, y Strategy ha disminuido al 10%.
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Derechos de autor 2025 Luis Adonis Chavez Cerna, Fernando Arturo Fernández Salvo, Juan Pedro Santos Fernández, José Alberto Gómez Ávila
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
