Big Data Fortaleza Platform: Quality Improvement with Testing Process

Amanda K. B. Cavalcante, Ícaro S. de Oliveira, Ícaro S. de Oliveira, Victória T. Oliveria, Pedro Oliveira, Pedro Oliveira, Tales P. Nogueira, Tales P. Nogueira, Ismayle S. Santos, Ismayle S. Santos, Rossana Andrade

2025

Abstract

In July 2022, the City Planning Institute of Fortaleza (Iplanfor), in collaboration with Computer Networks, Software and Systems Engineering Group (GREat) from the Federal University of Ceaŕ a, launched a project to develop a platform utilizing Big Data for data analysis and predictive modeling. This initiative aimed to support strategic planning and create solutions that would foster the development of City Fortaleza, ultimately guiding public policies based on solid evidence. The platform was named Big Data Fortaleza. Given its focus on government applications, it was essential to validate the platform through various testing methods. This article outlines the adopted testing process and highlights critical outcomes, including improved prediction accuracy and enhanced system and data security efficiency. Additionally, it discusses valuable lessons learned, such as the importance of effective team communication and the necessity for ongoing adjustments to maintain the platform’s quality and reliability.

Paper Citation

in Harvard Style

Cavalcante A., S. de Oliveira Í., Oliveria V., Oliveira P., Nogueira T., Santos I. and Andrade R. (2025). Big Data Fortaleza Platform: Quality Improvement with Testing Process. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 227-236. DOI: 10.5220/0013290500003929

in Bibtex Style

@conference{iceis25,
author={Amanda Cavalcante and Ícaro S. de Oliveira and Victória Oliveria and Pedro Oliveira and Tales Nogueira and Ismayle Santos and Rossana Andrade},
title={Big Data Fortaleza Platform: Quality Improvement with Testing Process},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={227-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013290500003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Big Data Fortaleza Platform: Quality Improvement with Testing Process
SN - 978-989-758-749-8
AU - Cavalcante A.
AU - S. de Oliveira Í.
AU - Oliveria V.
AU - Oliveira P.
AU - Nogueira T.
AU - Santos I.
AU - Andrade R.
PY - 2025
SP - 227
EP - 236
DO - 10.5220/0013290500003929
PB - SciTePress