SDV Guide
digital.auto
  • Welcome
  • SDV101
    • Part A: Essentials
      • Smart Phone? No: Habitat on Wheels!
      • Basics: What is a Software-defined Vehicle
      • MHP: Expert Opinion
      • Challenges: What sets automotive software development apart?
      • SDV Domains and Two-Speed Delivery
    • Part B: Lessons Learned
      • Learnings from the Internet Folks
        • Innovation Management
        • Cloud Native Principles
          • DevOps and Continuous Delivery
          • Loose Coupling
            • Microservices & APIs
            • Containerization
            • Building Robust and Resilient Systems
      • Learnings from the Smart Phone Folks
    • Part C: Building Blocks
      • Foundation: E/E Architecture
        • Today`s E/E Architectures
        • Evolving Trends in E/E Architectur
        • Case Study: Rivian
      • Standards for Software-Defined Vehicles and E/E Architectures
      • Building Blocks of an SDV
        • Service-Oriented Architecture
          • The SOA Framework for SDVs
          • Container Runtimes
          • Vehicle APIs
          • Example: Real-World Application of SDV Concepts
          • Ensuring Functional Safety
          • Event Chains in Vehicle SOAs
          • Vehicle SOA Tech Stack
        • Over-the-Air Updates: The Backbone of Software-Defined Vehicles
        • Vehicle App Store: The Holy Grail of Software-Defined Vehicles
      • Summary: Building Blocks for Software-Defined Vehicles
    • Part D: Implementation Strategies
      • #DigitalFirst
      • Hardware vs Software Engineering
        • The Traditional V-Model in Automotive Development
        • Agile V-Model, anybody?
        • Key: Loosely Coupled, Automated Development Pipelines
        • The SDV Software Factory
      • Implementing the Shift Left
        • Simulation and Digital Prototyping
          • Early Validation: Cloud-based SDV Prototyping
          • Detailed Validation: SDVs and Simulation
        • Towards the Virtual Vehicle
          • Case Study: Multi-Supplier Collaboration on Virtual Platform
          • Long-Term Vision
        • Physical test system
        • De-Coupled, Multi-Speed System Evolution
        • Continuous Homologation
        • Summary and Outlook
      • Enterprise Topics
        • Variant Management
        • Engineering Intelligence
        • Enterprise Organization, Processes, and Architecture
        • Incumbent OEMs vs EV Start-ups
  • SDV201
  • ./pulse
    • SDV Culture
    • Lean Sourcing
      • LeanRM
        • Why so many Requirements?
      • SCM for SDVs
    • SDV Systems Engineering
      • LeanSE
      • SDVxMBSE
    • Digital First
    • Loose Coupling
      • API-first
      • Freeze Points
    • Automation and Engineering Intelligence
    • Continuous Homologation
    • Build / Measure / Learn
  • Glossary
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  1. SDV101
  2. Part D: Implementation Strategies

Implementing the Shift Left

PreviousThe SDV Software FactoryNextSimulation and Digital Prototyping

Last updated 6 months ago

In this chapter, we focus on the implementation of "Shift Left"—a strategy to identify and resolve issues as early as possible in the development lifecycle, minimizing costly fixes downstream and accelerating time-to-market. By shifting activities such as prototyping, validation, and testing earlier in the process, OEMs can dramatically improve quality, reduce risks, and enable faster iterations.

The chapter explores a comprehensive set of techniques and tools that enable the Shift Left approach, starting with simulation and virtual prototyping, which include cloud-based prototyping and immersive UX testing to validate user experiences at an early stage. We will also delve into virtual development and testing, highlighting virtualization strategies that form the backbone of a robust digital-first vision.

While virtual methods are powerful, physical testing remains indispensable. This section will also address physical test systems such as Hardware-in-the-Loop (HiL), engineering mules, and development vehicles, which provide the bridge between virtual validation and real-world verification. Complementing these strategies is fleet-based testing, where real-world data is collected and analyzed to validate performance at scale, ensuring continuous improvement throughout the vehicle lifecycle.

Finally, we bring everything together under the theme of #digitalfirst system evolution, showcasing how a digital-first mindset supports the integration of simulation, virtual testing, and physical validation into a cohesive, end-to-end process. By combining these elements, OEMs can establish a powerful foundation for multi-speed development, continuous testing, and ongoing evolution of software-defined vehicles.