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

Owes Khan, Geri Shahini, W. Hardt
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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
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汽车系统SWC映射中模式模型的机器学习方法分析
汽车技术正日益数字化。高度自动驾驶与数字E/E控制机制包括数千个软件应用程序,这些应用程序被称为软件组件。再加上行业需求和严格的软件开发过程,将组件映射为软件池变得非常困难。本文分析和讨论了机器学习方法与我们之前介绍的通过公共软件池映射软件组件的概念的集成可能性
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