Low-code Engineering for Internet of things: A state of research

TL;DR

This paper surveys the current landscape of low-code platforms for IoT development, analyzing sixteen platforms to identify features, limitations, and future improvement directions.

Contribution

It provides a comprehensive analysis of existing low-code IoT platforms, highlighting their functionalities, limitations, and suggesting avenues for future research and development.

Findings

Identified key features supported by existing platforms

Highlighted limitations in current low-code IoT solutions

Suggested potential improvements for future platforms

Abstract

Developing Internet of Things (IoT) systems has to cope with several challenges mainly because of the heterogeneity of the involved sub-systems 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 low-code 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.