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

Abstract

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