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Titlebook: Automotive Software Architectures; An Introduction Miroslaw Staron Textbook 2021Latest edition Springer Nature Switzerland AG 2021 Software

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https://doi.org/10.1007/978-981-10-5963-6rning for image classification and object recognition, and through this we explain the concepts of supervised learning. We also introduce the concepts of reinforced learning using an example algorithm for engine optimization.
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Governance and Governed: Why Governance?tion of hardware and software and the impact of this integration. We review differences with stand-alone desktop applications and discuss examples of these differences. Towards the end of the chapter we discuss the need to measure these properties and introduce the need for software measurement.
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Corporate Governance: At the Crossroads?s used for measuring architectures and detailed designs. We explore the existing measures and present the ones which are common in industrial applications. Towards the end of the chapter we show the limits of selected measures by using an openly available industrial data set from an automotive OEM.
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Textbook 2021Latest editionhe evolution of software in modern cars and a discussion of the main challenges driving that evolution, Chapter 2 describes the main architectural styles of automotive software and their use in cars’ software. Chapter 3 details this further by presenting two modern architectural styles, i.e. central
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Machine Learning in Automotive Software,rning for image classification and object recognition, and through this we explain the concepts of supervised learning. We also introduce the concepts of reinforced learning using an example algorithm for engine optimization.
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Evaluation of Automotive Software Architectures,tion of hardware and software and the impact of this integration. We review differences with stand-alone desktop applications and discuss examples of these differences. Towards the end of the chapter we discuss the need to measure these properties and introduce the need for software measurement.
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