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Constructing Dependable Data-Driven Software With Machine Learning
Journal article   Peer reviewed

Constructing Dependable Data-Driven Software With Machine Learning

Claus Pahl and Seyedehshelernaz Azimi
IEEE Software, Vol.38(6), pp.88-97
38
22/03/2021
Handle:
https://hdl.handle.net/10863/41818

Abstract

Architecture Pattern Artificial intelligence Data quality Dependability Software Construction Machine Learning
Many data-driven software systems present dependability challenges caused by the distribution and dynamicity of their application environments. We investigate machine learning-driven construction techniques combined with pattern-based architecture, showing that system dependability is linked to data and function quality.
url
https://doi.org/10.1109/MS.2021.3067940View

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