A Model-Based Approach Across the IoT Lifecycle for Scalable and Distributed Smart Applications

Mazzini, Silvia; Favaro, John; Baracchi, Laura

doi:10.1109/itsc.2015.33

Cited by 11 publications

(17 citation statements)

References 6 publications

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“…In particular, except for CAPS, MED4IoT, Atmospheric IoT, and Mendix, the analyzed approaches use one specific view to model everything, which is not a good practice in general. Using multi-view modeling presents enormous benefits as it enforces separation of concerns: the system component is designed using a single model with dedicated consistent views, which are specialized projections of the system in specific dimensions of interest [26]. Multi-view modeling is regarded as a complicated matter to address for tailor-made lowcode development platforms as they mostly focus on connecting dots aiming at having an application up and running.…”

Section: Resultsmentioning

confidence: 99%

Low-code engineering for internet of things

Ihirwe

Ruscio

Mazzini

et al. 2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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Developing Internet of Things (IoT) systems has to cope with several challenges mainly because of the heterogeneity of the involved subsystems and components. With the aim of conceiving languages and tools supporting the development of IoT systems, this paper presents the results of the study, which has been conducted to understand the current state of the art of existing platforms, and in particular lowcode ones, for developing IoT systems. By analyzing sixteen platforms, a corresponding set of features has been identified to represent the functionalities and the services that each analyzed platform can support. We also identify the limitations of already existing approaches and discuss possible ways to improve and address them in the future. CCS CONCEPTS • Software and its engineering → Model-driven software engineering.

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Section: Resultsmentioning

confidence: 99%

Low-code engineering for internet of things

Ihirwe

Ruscio

Mazzini

et al. 2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

Self Cite

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“…It was noticeable during the detailed scanning of the selected studies that several published papers addressed the testing of IoT software applications without using any specific testing tools. It was clear that [22], [23], [35], [36], [40], [43], [45], [46], [48], [50], [53], [55], [69], [70] did not use any specific tools. Instead, the test cases were generated through empirical observation of the system during experimental studies.…”

Section: (Rq24 and Rq25) Model-based Testing Tools For Iot Software Applicationsmentioning

confidence: 99%

Model-Based Quality Assessment of Internet of Things Software Applications: A Systematic Mapping Study

Hamarash

2020

Int. J. Interact. Mob. Technol.

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The Internet of things (IoT) is growing at a fast pace owing to its vast applications in varied fields such as medicine, society, economy, and even the military. This growth cannot continue without establishing high quality. Over the past decade, interest in research for the quality assurance of IoT has gradually grown. However, the discipline is still evolving, and further research is required to investigate the various quality-related aspects. Although assessing the entire system is impractical, to assure the quality of IoT applications, various assessment levels are required. A well-known and established approach to mitigate this difficulty is to model the entire system or a few parts of it for the sake of assessment, which is known as model-based testing. To determine what has been achieved thus far and what is lacking in this direction, this paper presents an extensive study on the use of the model-based approach to assure the quality of IoT applications. The study systematically reviews papers published from 2009 (early publications on IoT) to 2019 that reported the explicit use of models to assess the quality aspects of IoT applications. As a result of an extensive search process, the paper presents the results of scanning and reviewing 390 published papers. Thus far, out of these, 54 studies used the model-based approach to assess at least one quality aspect of an IoT application. In addition to the several relevant research questions that have been addressed in this study, this paper also presents several new insights and approaches for future research.

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“…En la bibliografía se encuentran referencias a 1. Ingeniería de Sistemas basada en modelos (MBSE) (Mazzini, Favaro, & Baracchi, 2015) (Papke, 2017), y 2. Empleo de ciclos de vida iterativos e incrementales (Redmond & Zarli, 2018), (Mazzini et al, 2015).…”

Section: Ciclo De Vida De Desarrollounclassified

“…Ingeniería de Sistemas basada en modelos (MBSE) (Mazzini, Favaro, & Baracchi, 2015) (Papke, 2017), y 2. Empleo de ciclos de vida iterativos e incrementales (Redmond & Zarli, 2018), (Mazzini et al, 2015). Los autores de (Mazzini et al, 2015) presentan "CHESS", una metodología de ingeniería de sistemas basada en modelos que se adapta a la implementación de sistemas y componentes IoT.…”

Section: Ciclo De Vida De Desarrollounclassified

“…Empleo de ciclos de vida iterativos e incrementales (Redmond & Zarli, 2018), (Mazzini et al, 2015). Los autores de (Mazzini et al, 2015) presentan "CHESS", una metodología de ingeniería de sistemas basada en modelos que se adapta a la implementación de sistemas y componentes IoT. La metodología proporciona mecanismos de preservación de propiedades no-funcionales tales como el tiempo real, la seguridad (de las personas), la seguridad y el rendimiento, y permite acometer: el modelado, el desarrollo, el análisis, la verificación, la operación y la gestión y monitorización de aplicaciones inteligentes heterogéneas de misión crítica en despliegues distribuidos y escalables de componentes IoT (concretamente los servicios de distribución de datos para Sistemas de Transporte Inteligentes).…”

Section: Ciclo De Vida De Desarrollounclassified

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Internet del Futuro – Estudio de tecnologías IoT

González¹,

Sofía²,

Laguía³

et al. 2020

ICTUNPA

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Este trabajo proporciona una visión general del paradigma Internet de las Cosas (IoT) apuntando a las aplicaciones, arquitecturas, protocolos, tecnologías, y problemas pendientes y oportunidades para la investigación, tal como puede encontrarse en literatura reciente. El trabajo comienza proveyendo marcos históricos y conceptuales breves. A continuación, se profundiza en temas teóricos como las soluciones verticales, arquitecturas propuestas, protocolos específicos y tecnologías comerciales. También se revisan problemas concernientes al marco legal, todavía por desarrollarse. El postulado básico de IoT es la colaboración entre sensores inteligentes para realizar tareas innovadoras sin intervención humana. Sin embargo, avances recientes indican que serán posibles aplicaciones más potentes combinando IoT con cierto grado de inteligencia, previamente reservado a la nube. El objetivo principal de este informe es proporcionar un marco de trabajo inicial que permita a los investigadores iniciarse rápidamente en la materia, y al mismo tiempo, enfatizar la importancia de la identificación y desarrollo de aplicaciones. El trabajo concluye recomendando especial atención al modelado de sistemas IoT, a los protocolos de aplicación de tiempo real, y a la computación fog.

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A Model-Based Approach Across the IoT Lifecycle for Scalable and Distributed Smart Applications

Cited by 11 publications

References 6 publications

Low-code engineering for internet of things

Low-code engineering for internet of things

Model-Based Quality Assessment of Internet of Things Software Applications: A Systematic Mapping Study

Internet del Futuro – Estudio de tecnologías IoT

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