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Modelo de medición de ecosistemas inteligentes desarrollados bajo el paradigma del internet de las cosas (IoT)

Alejandro Quiroz Estrada
Universidad Nacional, Colombia
Jovani Alberto Jiménez Builes
Universidad Nacional de Colombia
Gustavo Alonso Acosta Amaya
Politécnico Jaime Isaza Cadavid, Colombia
Albeiro Espinosa Bedoya
Universidad Nacional, Colombia
Carlos Mario Zapata Jaramillo
Universidad Nacional, Colombia
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Objetivo: Proponer un modelo de medición dentro de una arquitectura IoT, con el fin de establecer qué características de calidad son las más convenientes y necesarias para la red de objetos tomando como referencia el modelo jerárquico ISO/IEC 25000 de calidad del software. Metodología: Para el diseño del modelo se realizó una revisión sistemática de literatura que permitió obtener evidencias desde artículos científicos almacenados en repositorios digitales para poder cuantificar los atributos de calidad y determinar las métricas ideales. Como punto de partida se realizaron una serie de preguntas de investigación y una encuesta a un grupo de expertos con conocimiento en IoT para determinar que características y subcaracterísticas de calidad cumplen con los requisitos necesarios. Resultados: Se evidencio que los resultados y resolución de preguntas de investigación planteadas al igual que la encuesta realizada por el grupo de expertos para la validación del modelo responden a los criterios necesarios para un modelo de calidad. Además, con la finalidad de facilitar el entendimiento del modelo que aquí se propone, se realiza una representación gráfica por medio de esquemas preconceptuales. Conclusiones: Por ultimo, este modelo incluye métricas externas para medir atributos de características de calidad en cualquier área del IoT.

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Cómo citar
[1]
A. Quiroz Estrada, J. A. Jiménez Builes, G. A. Acosta Amaya, A. Espinosa Bedoya, y C. M. Zapata Jaramillo, «Modelo de medición de ecosistemas inteligentes desarrollados bajo el paradigma del internet de las cosas (IoT)», Investigación e Innovación en Ingenierías, vol. 10, n.º 1, pp. 42–56, feb. 2022.

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