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Combining Flows and Rules in a Low-Code Platform for Smart Water Management

Authors:
Jens Nicolay
Bjarno Oeyen
Samuel Ngugi Ndung'u
Thierry Renaux
Maxime Démarest
Boud Verbeiren
Wolfgang De Meuter

Keywords: flow-based programming; rule-based programming; visual programming; low-code; sensors; internet of things.

Abstract:
The paper describes a low-code programming model and environment for automating sensor data processing pipelines for the smart water management domain. We identify visual flow-based programming and rule-based approaches as two promising avenues for building low-code programming models in this domain, but likewise identified a total of five problems faced by these approaches when applied to the domain. We propose a solution that tackles those problems, both as a high-level vision (combining the visual flow-based programming approach with rule-based approach, where each approach is applied for the programming tasks they are best suited for) and as a concrete design of a low-code programming model. We sketch our implementation, and discuss its limitations.

Pages: 88 to 93

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-68558-258-6

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025