Modeling Languages for Internet of Things (IoT) Applications: A Comparative Analysis Study

Sadik Arslan, Mert Ozkaya and Geylani Kardas ()
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Sadik Arslan: International Computer Institute, Ege University, Izmir 35100, Turkey
Mert Ozkaya: Computer Engineering Department, Yeditepe University, Istanbul 34755, Turkey
Geylani Kardas: International Computer Institute, Ege University, Izmir 35100, Turkey

Mathematics, 2023, vol. 11, issue 5, 1-35

Abstract: Modeling languages have gained ever-increasing importance for the Internet of Things (IoT) domain for improving the productivity and quality of IoT developments. In this study, we analyzed 32 different modeling languages that have been designed for IoT software development in terms of a set of requirements that were categorized into three groups: language definition, language features, and tool support. Some key findings are as follows: (1) performance is the most supported quality property (28%); (2) most languages offer a visual notation set only, while 6% provide both textual and visual notation sets; (3) most languages (88%) lack formally precise semantic definitions; (4) most languages (94%) support the physical, deployment, and logical modeling viewpoints, while the behavior, logical, and information viewpoints are rarely supported; (5) almost none of the languages enable extensibility; (6) Java (34%) and C (21%) are the most preferred programming languages for model transformation; (7) consistency (77%) and completeness (64%) are the most supported properties for the automated checking of models; and (8) most languages (81%) are not supported with any websites for sharing case studies, source code, tools, tutorials, etc. The analysis results can be useful for language engineers, practitioners, and tool vendors for better understanding the existing languages for IoT, their weak and strong points, and IoT industries’ needs in future language and modeling toolset developments.

Keywords: Internet of Things; modeling; modeling languages; modeling toolset; practitioners (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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