Language for Programmed Data Acquisition through Activity Flow

• Vinicius M. L. Santos UFAM
• Anacilia M. C. de A. P. Vieira UFAM
• Carlos A. O. de Freitas UFAM

DOI: https://doi.org/10.5753/connect.2025.12345

Abstract

The research aims to develop a language to facilitate the acquisition of physical data in IoT sensor networks, crucial in a digitized world with an increasing presence of computational systems. Professionals from various fields require IT knowledge, highlighting the need for accessible languages for beginners. The study proposes a simplified semantic language to capture data such as pressure and temperature, based on existing languages. The objective is to ensure that users easily understand the language, interact efficiently with the system, and successfully solve problems.

References

Kitchenham, B. (2004) Procedures for performing systematic reviews. Keele, UK, Keele University, v. 33, s/n, p. 1-26.

Neto, J. J. (2000) “Solving complex problems efficiently with adaptive automata”. In: Conference on the Implementation and Application of Automata - CIAA 2000. Ontario, Canada: [s.n.].

Santos, S. L. (2006) Paradigmas de Programação. Campos, p. 35.

Vincent P, e Natis Y. e Iijima K. e Wong J. e Ray S. e Jain A. e Leow, A. (2020) Magic Quadrant for Enterprise Low-Code Application Platforms. September 2020 Gartner report, Gartner.