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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SDV Guide

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(c) 2025 Dirk Slama

On this page
  • The Role of CI/CD/CT Automation
  • Key Components of CI/CD/CT in the ./pulse Framework
  • Benefits of CI/CD/CT Automation
  • CI/CD/CT Automation in a Multi-Speed Delivery Model
  • Example: CI/CD/CT for a Motorized Door System
  • Challenges and Best Practices
  • Engineering Intelligence
  • Conclusion
  1. ./pulse

Automation and Engineering Intelligence

PreviousFreeze PointsNextContinuous Homologation

Last updated 1 month ago

In the context of the ./pulse framework, automation through Continuous Integration (CI), Continuous Delivery (CD), and Continuous Testing (CT) is essential for accelerating the development of modern, software-defined vehicles (SDVs). It enables faster iteration, consistent quality, and smooth integration across mechanical, E/E, and digital domains.

Building on this foundation, brings a new layer of capability: leveraging data, models, and AI to support smarter decision-making across the development lifecycle. From impact analysis and requirement traceability to simulation orchestration and predictive validation, Engineering Intelligence helps teams navigate complexity and drive informed, efficient engineering workflows.

The Role of CI/CD/CT Automation

CI/CD/CT automation is more than just a collection of tools—it's a cultural and technical shift that transforms how automotive systems are developed, tested, and delivered. It aligns with the multi-speed delivery model of the ./pulse framework, bridging the slower-moving domains like mechanical systems with the rapid evolution of digital features.

  • Continuous Integration (CI): Automates the process of integrating changes from multiple developers into a shared repository. Frequent integration ensures early detection of conflicts, reducing costly late-stage rework.

  • Continuous Delivery (CD): Enables automated deployment of software to production-ready environments, ensuring that new features and updates are delivered seamlessly and reliably.

  • Continuous Testing (CT): Embeds automated testing at every stage of the pipeline, from unit and integration tests to system and acceptance tests, ensuring quality and compliance throughout the development lifecycle.

Key Components of CI/CD/CT in the ./pulse Framework

  1. Unified Pipelines for Multi-Domain Development CI/CD/CT automation in the ./pulse framework unifies pipelines across mechanical, E/E, and digital domains, enabling seamless collaboration and integration. For example:

    • Software teams can integrate and validate OTA updates alongside embedded system changes.

    • E/E teams can verify ECU firmware updates within the same pipeline as higher-level system tests.

  2. Virtual Validation and Simulation By leveraging digital twins and virtual environments, CI/CD/CT pipelines can test features and system interactions without requiring physical prototypes. This is especially critical for SDVs, where software updates can impact multiple subsystems.

  3. Incremental and Modular Testing Automated testing frameworks enable incremental validation of subsystems, ensuring that changes to individual components do not introduce system-wide defects. Modular testing also supports reuse across vehicle platforms.

  4. Integration with Homologation Processes The continuous homologation (CoHo) aspect of the ./pulse framework is tightly integrated with CI/CD/CT automation. Pipelines include automated checks for regulatory compliance, ensuring that features meet global standards before deployment.

  5. Feedback Loops for Continuous Improvement Automated pipelines provide real-time feedback to developers, enabling faster resolution of issues and continuous improvement of the development process. Metrics such as test coverage, build success rates, and defect trends are continuously monitored.

Benefits of CI/CD/CT Automation

  • Speed and Efficiency: Automating repetitive tasks like builds, tests, and deployments reduces development cycle times, enabling faster delivery of features and updates.

  • Quality and Reliability: Continuous testing ensures that defects are identified and resolved early, improving overall system quality.

  • Alignment Across Domains: Unified pipelines enable collaboration between mechanical, E/E, and software teams, ensuring that changes in one domain are validated against the others.

  • Regulatory Compliance: Automated compliance checks streamline homologation, reducing the time and effort required to meet safety and regulatory standards.

  • Scalability: Modular pipelines support the scalability required for SDVs, where frequent updates and platform reuse are critical.

CI/CD/CT Automation in a Multi-Speed Delivery Model

The multi-speed delivery model of the ./pulse framework requires different domains to operate at varying paces. CI/CD/CT automation ensures synchronization between these domains by:

  • Enabling parallel development: For example, while mechanical systems freeze early due to long lead times, CI/CD pipelines allow software teams to continue iterating and testing new features.

  • Supporting long-term stability: Embedded systems and safety-critical components benefit from rigorous automated testing to maintain reliability.

  • Facilitating rapid iteration: Digital systems, such as infotainment or user-facing features, leverage CI/CD pipelines to deploy updates frequently, ensuring a seamless user experience.

Example: CI/CD/CT for a Motorized Door System

Consider the development of a motorized door system with features like a passenger welcome sequence and remote access via mobile apps. CI/CD/CT automation supports the development lifecycle as follows:

  1. Continuous Integration:

    • Software teams integrate API changes (e.g., for remote door control) into a shared repository.

    • Embedded system teams update the ECU firmware for the door motor, which is automatically validated against the existing software stack.

  2. Continuous Testing:

    • Virtual validation environments simulate door operation, testing edge cases such as obstruction detection and emergency overrides.

    • Compliance checks ensure the motorized door system meets ISO 26262 safety standards.

  3. Continuous Delivery:

    • OTA pipelines deploy updates to the digital service, adding new features like gesture-based door opening.

    • Updates to the ECU firmware are delivered to test vehicles, ensuring compatibility with the deployed software.

  4. Real-Time Feedback:

    • Metrics from automated tests, such as API response times or motor calibration accuracy, are fed back to developers for continuous improvement.

This example highlights how CI/CD/CT automation bridges the mechanical, E/E, and digital domains, ensuring smooth integration and rapid delivery of innovative features.

Challenges and Best Practices

While CI/CD/CT automation offers significant benefits, it also presents challenges that organizations must address:

  • Tool Integration: Automotive development often involves heterogeneous tools across domains. Unified pipelines must bridge these gaps for seamless collaboration.

  • Complex Test Environments: Creating realistic simulations and virtual validation environments requires investment in tools and expertise.

  • Cultural Shift: Adopting CI/CD/CT requires a cultural shift toward automation and continuous improvement, particularly for teams accustomed to traditional workflows.

To overcome these challenges, the ./pulse framework emphasizes best practices such as adopting standardized tools, investing in virtual validation, and fostering a culture of collaboration and innovation.

Engineering Intelligence

Engineering Intelligence refers to the application of data-driven insights, artificial intelligence (AI), and advanced analytics to optimize product development processes across domains.

Conclusion

CI/CD/CT automation is a foundational element of the ./pulse framework, enabling faster, more reliable, and scalable development of software-defined vehicles. By integrating continuous integration, delivery, and testing across domains, the framework ensures alignment between mechanical, E/E, and digital systems, supporting the multi-speed delivery model. As vehicles become increasingly software-driven, CI/CD/CT automation will remain critical to delivering innovative, high-quality, and compliant systems at the pace of modern development.

In the context of the ./pulse framework, Engineering Intelligence plays a vital role in enhancing decision-making, automating repetitive tasks, and identifying patterns to improve quality, reduce time-to-market, and increase system reliability. It supports areas like predictive defect detection, requirements impact analysis, and the optimization of CI/CD pipelines by leveraging data from virtual validation, real-world telemetry, and historical development cycles. This capability is particularly valuable in aligning fast-moving digital systems with more rigid mechanical and E/E domains, ensuring continuous improvement throughout the product lifecycle. For a deeper dive into Engineering Intelligence, refer to the SDV Guide’s detailed section on .

Engineering Intelligence
Engineering Intelligence
Engineering Intelligence | SDV Guide
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