Constructing Dependable Data-Driven Software With Machine Learning
Claus Pahl, Shelernaz Azimi · IEEE Software · 2021
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.