Automotive Software with Adaptive AUTOSAR

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Automotive Software with Adaptive AUTOSAR


Learn and master Adaptive AUTOSAR architecture, methodology and workflow.


The Adaptive AUTOSAR standard opens up new frontiers in modern vehicle ECUs. Compared to Classic real-time environments used in automotive industry, Adaptive Platform enables dynamic linking of services and clients during runtime. This training is targeted for anyone who would like to get a basic understanding of Adaptive AUTOSAR Platform and how to utilize it in modern vehicles. The topics and hands-on exercises are prepared in such way to give most benefit to application developers, designers, and integrators. During the course the participants will get an overview of Adaptive Autosar architecture, methodology and workflow. We focus on bringing in the knowledge required for creating one Adaptive Application: from concept until deployment, including the proper configuration of the Adaptive Autosar based system. The course has high practical dimension using commercial, industry proven Adaptive AUTOSAR platform and tooling, bringing in knowledge that matches the industry needs.

Course topics:

  •  Introduction to Adaptive Autosar
  •  Use Cases for Adaptive Autosar
  • Overall view and basic principles
  • Methodology and workflow
  • Modeling, System design and implementation
  •  Execution management, State management
  •  Manifests: execution manifest, service instance, system design manifest, machine manifest
  • Communication in Adaptive Autosar platform (ara::com)
  • Service oriented architecture and protocols
  • Service interface: methods/events/fields
  • Communication management
  • Service Discovery
  • M4: Functional clusters
  • Platform Health Management
  • Update and Configuration Management
  • Diagnostics and Persistency Management
  • Synchronization


Prerequisite: If you are using a company computer, you must obtain approved access to RealVNC software; otherwise, personal computers are recommended.

Software: RealVNC.

Hardware: Computer with an Internet connection, working speakers, and microphone.

Prior knowledge: Participants should have basic knowledge of programming in C++ language. Previous experience with Classic Autosar development workflow is a plus.