The research presents a Framework based on CMMI and ITIL methodology. It complemented with an ASQ management type, which allows incorporating metrics that directly involve both the development process of embedded systems based on IoT architectures and oriented to industry 4.0 or IIoT. The methodology is based on the development of software for Embedded Systems using SysML modeling. The scheme to allows incorporates necessary mechanisms that enable the management of the System related to service continuity and easy adaptation to changes, considering service connectivity and compatible with an industrial environment. This scheme allows quantifying through indicators each one of the quality levels, providing at the same time the practicality and the systematization of the processes, which in the end translates into a consistent mapping for the standardization of the quality related to the lines of business that imply the treatment of IoT data at industrial level. The methodology permits are simplifying the need to deal with rapid software changes, one of the essential tasks of software systems development and maintenance teams. Due to the lack of standards and regulated work schemes for the development of IoT architectures; therefore, it is intended to establish implicitly the metrics and an essential work scheme to regulate the design, progress, and development of IIoT architectures, until defining an optimal state of implementation.
Los sistemas de información geográfica combinados con los métodos de estadística espacio-temporal, constituyen una efectiva herramienta de análisis exploratorio para el estudio de variables espaciales, en especial aquella que tiene una influencia consigo misma en zonas próximas o adyacentes. A través del método de Auto correlación espacial de Moran y con ayudas de las tecnologías de los sistemas iterativos y dispositivos móviles, se determinó que todos los fenómenos de expansión y concentración pueden ser analizados en tiempo real, siguiendo un modelo estadístico-matemático, el cual permitiría simular la naturaleza y movilidad de la variable en diferentes zonas de manera directa y sencilla, todo esto para la identificación de patrones espaciales a través del tiempo. Toda este análisis matemático permitiría en un futuro cercano la creación de servicios móviles inteligentes soportados en la web con ayuda de servicios basados en la localización y GIS para el monitoreo de variables espaciales en tiempo real. AbstractThe Geographic Information Systems (GIS) methods combined with space-time statistics are an effective tool for studying exploratory analysis of spatial variables, especially one that has an influence with herself near or adjacent areas. Through spatial correlation method Auto Moran and aid the iterative technology systems and mobile devices, it was determined that all the phenomena of expansion and concentration can be analyzed in real time, following a statistical-mathematical model, which allow to simulate nature and mobility of the variable in different areas of direct and simple way, all this to identify spatial patterns over time. All this mathematical analysis in the near future allow the creation of intelligent mobile web services supported using location-based services and GIS for monitoring real-time spatial variables.
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