Abstract
During the first semester of 2017, at the Brazilian Aeronautics Institute of Technology (Instituto Tecnologico de Aeronautica – ITA), 30 undergraduate and graduate students from three different courses applied Interdisciplinary Learning Based on Problems (IPBL) and during 17 academic weeks had the opportunity to conceive, model and develop a Computer System to combine data and integrate different actors such as PATIENT, HOSPITAL, PHYSICIAN and SUPPLIER to the decision-making process related to health crisis management, such as epidemics. The purpose of this system based on Big Data and Internet of Things (IoT) was to manage data and information to allow the appropriate decision making. The agile Scrum method and its best practices with Python or Java, Spark, NoSQL databases, Kafka and other technologies were applied collaboratively in a fictional crisis scenario as a proof of concept (PoC) to solve health system problems. The main contribution of this study was the use of agile tests in the verification and validation of this academic system related to the management of health crises.
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Acknowledgements
The authors thank the Brazilian Aeronautics Institute of Technology (ITA), the Ecossistema Negocios Digitais Ltda, and the Casimiro Montenegro Filho Foundation (FCMF) for their general and finantial support, during the development of this STAMPS Academic Project.
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da Silva, D.A. et al. (2019). Using Agile Testing in an Academic Health System Case Study. In: Latifi, S. (eds) 16th International Conference on Information Technology-New Generations (ITNG 2019). Advances in Intelligent Systems and Computing, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-030-14070-0_86
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DOI: https://doi.org/10.1007/978-3-030-14070-0_86
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