Generating Heterogeneous Codes for IoT Systems Based on CAPS

Sharaf, Mohammad; Abusair, Mai; Muccini, Henry; Eleiwi, Rami; Shana'a, Yara; Saleh, Ithar

doi:10.1109/models-c.2019.00113

Cited by 4 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…CAPS [25]: It is an architecture-driven modeling tool based on Eclipse EMF/GMF designed to enable architects, system engineers, and cyber-physical space designers to capture the software architecture, hardware configuration, and physical space into views for a situational-aware CPS. To link together the modeled views, the authors introduced two auxiliary languages, denoted as Mapping Modeling Language (MAPML) and Deployment Modeling Language (DEPML).…”

Section: Mde Approachesmentioning

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

View full text Add to dashboard Cite

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.

show abstract

Section: Mde Approachesmentioning

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

View full text Add to dashboard Cite

show abstract

“…Este artículo presenta el estudio de arquitecturas y/o modelos de referencia utilizados al momento de implementar un sistema IoT, para que futuros proyectos puedan usar una arquitectura o modelos de referencia de forma sencilla, así como un conocimiento íntegro de los problemas futuros en cuanto a compatibilidad de código o trabajo se refiere [2]. Con ello se plantea obtener una base o guía para la elección de un modelo de desarrollo para la puesta en marcha de un sistema IoT.…”

unclassified

Análisis comparativo entre arquitecturas de sistemas IoT

Chuquimarca

Maita

2022

RITI

View full text Add to dashboard Cite

IoT systems are one of the current solutions for process automation. Its development is important to present solutions that adapt to new technologies. Despite its degree of use, there is not a unique architecture or reference model standardized that allows the development of an IoT system in a simple way. Developing an IoT system can be even more complicated when you don't have a unique guide. The present article makes a comparative study of two architectures and one reference model used for the development of IoT systems. The characteristics and functionalities of the selected cases will be exposed, and they will be compared to know the advantages and disadvantages of their use. The goal is to obtain a guide for the choice of an architecture or model for the realization of an IoT system, which has a support for its use; that is, it has already been used.

show abstract

On the Usability of a Modeling Language for IoT-Based Public Transportation Systems

Arslan,

Kardas,

Alfraihi

2024

Applied Sciences

View full text Add to dashboard Cite

Internet of Things (IoT)-based public transportation systems face distinct challenges within the broader realm of IoT. Developers of such systems encounter a notably intricate development environment compared to general IoT systems, which are inherently characterized by elevated levels of complexity and heterogeneity. As successfully applied in other domains, domain-specific modeling languages (DSMLs) can also be employed to facilitate the development of IoT-based public transportation systems and address the challenges mentioned. Hence, in this study, a novel model-driven engineering (MDE) methodology is presented, comprising the steps of using a DSML, called DSML4PT, for the development of a wide-range of IoT-based public transportation applications. Moreover, the usability evaluation of DSML4PT within this MDE methodology during the real applications of IoT-based public transportation systems is also provided, which is missing in similar studies. For this purpose, we investigated the usability of DSML4PT within a systematic evaluation approach in which the features of DSML4PT are assessed both quantitatively and qualitatively in eight different real public transportation applications with the participation of experienced developers. Comparative analysis revealed that approximately 80% of IoT-based public transportation systems could be automatically generated through modeling exclusively employing DSML4PT. In contrast to the conventional software development methodologies, the novel DSML4PT approach also decreased the time required for the development of public transportation applications by almost 50%. In addition, according to a questionnaire-based assessment, the general evaluation rating of the language was measured as 4.44 over 5-point Likert scale. Feedback from the developers corroborated the practicality of this language and its widespread adoption across diverse perspectives.

show abstract

Generating Heterogeneous Codes for IoT Systems Based on CAPS

Cited by 4 publications

References 8 publications

Low-code engineering for internet of things

Low-code engineering for internet of things

Análisis comparativo entre arquitecturas de sistemas IoT

On the Usability of a Modeling Language for IoT-Based Public Transportation Systems

Contact Info

Product

Resources

About