Analysis of Machine Learning Approach for the mode model in SWC Mapping in Automotive Systems
DOI:
https://doi.org/10.14464/ess.v7i2.473Abstract
Automotive technologies are ever-increasingly
becoming digital. Highly autonomous driving together with
digital E/E control mechanisms include thousands of software
applications which are called as software components.
Together with the industry requirements, and rigorous
software development processes, mapping of components as a
software pool becomes very difficult. This article analyses and
discusses the integration possibilities of machine learning
approaches to our previously introduced concept of mapping
of software components through a common software pool
Downloads
Published
Issue
Section
License
Copyright for articles published in this journal is retained by the authors. The content is published under a Creative Commons Licence Attribution 4.0 International (CC BY 4.0). This permits use, distribution, and reproduction in any medium, provided the original work is properly cited, and is otherwise in compliance with the licence.
