Requirements Engineering for Continuous Queries on IoRT Data: A Case Study in Agricultural Autonomous Robots Monitoring

Leandro Antonelli, Hassan Badir, Houssam Bazza, Sandro Bimonte, Stefano Rizzi

2024

Abstract

The Internet of Robotic Things (IoRT) is an extension of the Internet of Things, where intelligent mobile devices acquire sensor data and physically act in the environment. IoRT devices produce huge data streams, typically analyzed using continuous queries. We propose an approach to engineer requirements about continuous queries over IoRT data. Our proposal is specifically devised for end-users not skilled in IT and relies, for requirements elicitation, on spreadsheet-like templates called stream tables. Requirements analysis uses a novel UML profile, while requirements specification and validation rely on a fast prototyping tool so as to allow end-users to define continuous queries by themselves and validate them via web-based prototyping. Non-functional requirements are taken into account as well, in the form of available technological resources and data sources, and used for requirements validation. The results of some preliminary tests made with some real users suggest that stream tables are a valuable instrument for the engineering of continuous queries, and that fast prototyping is an effective support to the specification and validation steps.

Paper Citation

in Harvard Style

Antonelli L., Badir H., Bazza H., Bimonte S. and Rizzi S. (2024). Requirements Engineering for Continuous Queries on IoRT Data: A Case Study in Agricultural Autonomous Robots Monitoring. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 113-120. DOI: 10.5220/0012439600003690

in Bibtex Style

@conference{iceis24,
author={Leandro Antonelli and Hassan Badir and Houssam Bazza and Sandro Bimonte and Stefano Rizzi},
title={Requirements Engineering for Continuous Queries on IoRT Data: A Case Study in Agricultural Autonomous Robots Monitoring},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2024},
pages={113-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012439600003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Requirements Engineering for Continuous Queries on IoRT Data: A Case Study in Agricultural Autonomous Robots Monitoring
SN - 978-989-758-692-7
AU - Antonelli L.
AU - Badir H.
AU - Bazza H.
AU - Bimonte S.
AU - Rizzi S.
PY - 2024
SP - 113
EP - 120
DO - 10.5220/0012439600003690
PB - SciTePress