MoT: A Model-Driven Low-Code Approach for Simplifying Cloud-of-Things Application Development
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866908715085463552 |
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| author | Welter, Cristiano Farias, Kleinner |
| author_facet | Welter, Cristiano Farias, Kleinner |
| contents | The integration of cloud computing and the Internet of Things (IoT) is essential for scalable, intelligent systems. However, developing cloud-of-things (CoT) applications remains challenging. It requires significant technical expertise and lacks standardized, model-driven methodologies. Current approaches fail to ensure interoperability, automation, and efficiency. This study introduces the Model of Things (MoT), a model-based approach that incorporates low-code principles to simplify CoT development. MoT reduces technical barriers by providing a custom UML profile designed for IoT and cloud services. To evaluate MoT, we conducted a case study and a Technology Acceptance Model (TAM) questionnaire. The results confirmed MoT's feasibility, demonstrating that it streamlines CoT application development and deployment. Users found MoT accessible, even with limited IoT experience, and reported high perceived ease of use and usefulness. Qualitative feedback highlighted MoT's ability to reduce complexity and speed up development. MoT offers a promising, model-driven solution for CoT application development. By lowering entry barriers and promoting automation, it enhances both efficiency and flexibility. This study represents a step toward a more user-friendly framework, enabling broader adoption of CoT technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_14613 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MoT: A Model-Driven Low-Code Approach for Simplifying Cloud-of-Things Application Development Welter, Cristiano Farias, Kleinner Software Engineering Emerging Technologies Human-Computer Interaction The integration of cloud computing and the Internet of Things (IoT) is essential for scalable, intelligent systems. However, developing cloud-of-things (CoT) applications remains challenging. It requires significant technical expertise and lacks standardized, model-driven methodologies. Current approaches fail to ensure interoperability, automation, and efficiency. This study introduces the Model of Things (MoT), a model-based approach that incorporates low-code principles to simplify CoT development. MoT reduces technical barriers by providing a custom UML profile designed for IoT and cloud services. To evaluate MoT, we conducted a case study and a Technology Acceptance Model (TAM) questionnaire. The results confirmed MoT's feasibility, demonstrating that it streamlines CoT application development and deployment. Users found MoT accessible, even with limited IoT experience, and reported high perceived ease of use and usefulness. Qualitative feedback highlighted MoT's ability to reduce complexity and speed up development. MoT offers a promising, model-driven solution for CoT application development. By lowering entry barriers and promoting automation, it enhances both efficiency and flexibility. This study represents a step toward a more user-friendly framework, enabling broader adoption of CoT technologies. |
| title | MoT: A Model-Driven Low-Code Approach for Simplifying Cloud-of-Things Application Development |
| topic | Software Engineering Emerging Technologies Human-Computer Interaction |
| url | https://arxiv.org/abs/2512.14613 |