Open AccessAnalysis of Machine Learning Approach for the mode model in SWC Mapping in Automotive Systems
Author(s) -
Owes Khan,
Geri Shahini,
WolfDietrich Hardt
Publication year - 2021
Publication title -
embedded selforganising systems
Language(s) - English
Resource type - Journals
ISSN - 1869-5213
DOI - 10.14464/ess.v7i2.473
Subject(s) - automotive industry , computer science , software , mode (computer interface) , software development , control software , systems engineering , software engineering , engineering , operating system , aerospace engineering
Automotive technologies are ever-increasinglybecoming digital. Highly autonomous driving together withdigital E/E control mechanisms include thousands of softwareapplications which are called as software components.Together with the industry requirements, and rigoroussoftware development processes, mapping of components as asoftware pool becomes very difficult. This article analyses anddiscusses the integration possibilities of machine learningapproaches to our previously introduced concept of mappingof software components through a common software pool