Cargando…
A TDD Framework for Automated Monitoring in Internet of Things with Machine Learning †
Robust, fault tolerant, and available systems are fundamental for the adoption of Internet of Things (IoT) in critical domains, such as finance, health, and safety. The IoT infrastructure is often used to collect a large amount of data to meet the business demands of Smart Cities, Industry 4.0, and...
Autores principales: | Hayashi, Victor Takashi, Ruggiero, Wilson Vicente, Estrella, Júlio Cezar, Filho, Artino Quintino, Pita, Matheus Ancelmo, Arakaki, Reginaldo, Ribeiro, Cairo, Trazzi, Bruno, Bulla, Romeo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739385/ https://www.ncbi.nlm.nih.gov/pubmed/36502200 http://dx.doi.org/10.3390/s22239498 |
Ejemplares similares
-
Test driven: practical TDD and acceptance TDD for Java developers
por: Koskela, Lasse
Publicado: (2008) -
Analysis of Spatially Distributed Data in Internet of Things in the Environmental Context
por: de Azevedo, Leonildo José de Melo, et al.
Publicado: (2022) -
Practical Test Automation: Learn to Use Jasmine, RSpec, and Cucumber Effectively for Your TDD and BDD
por: Matsinopoulos, Panos
Publicado: (2020) -
Testing Python
:
applying unit testing, TDD, BDD, and acceptance testing
por: Sale, David
Publicado: (2014) -
Professional test-driven development with C#: developing real world applications with TDD
por: Bender, James, et al.
Publicado: (2011)