Analysis of Machine Learning Approach for the modemodel in SWC Mapping in Automotive Systems

Authors

  • Owes Khan TUC
  • Geri Shahini
  • Wolfram Hardt

DOI:

https://doi.org/10.14464/ess.v7i1.447

Abstract

Automotive technologies are ever-increasinglybecoming digital. Highly autonomous driving togetherwith digital E/E control mechanisms include thousandsof software applications which are called as software components. Together with the industry requirements, and rigorous software development processes, mappingof components as a software pool becomes very difficult.This article analyses and discusses the integration possiblilities of machine learning approaches to our previously introduced concept of mapping of software components through a common software pool.

Downloads

Published

2021-03-20

Issue

Vol. 7 No. 1 (2020): Artificial Intelligence & Machine Learning in Computer Vision Applications

Section

Articles

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.