This e-learning provides a comprehensive introduction to the ASPICE V4.0 Supporting Process Group, focusing on how these cross-functional processes ensure quality, consistency, and transparency across the entire automotive software development lifecycle. You will learn how the supporting processes interact with core engineering activities and how they contribute to achieving robust, compliant, and well-governed development outcomes.

You’ll gain a solid understanding of several key processes within the Supporting Process Group, including:

• SUP.1 Quality Assurance — understanding how independent and objective quality assurance is performed, which outcomes it ensures, and which base practices and work products support consistent evaluation of processes and work products.
• SUP.8 Configuration Management — exploring how work products are identified, versioned, controlled, and released, ensuring full traceability and integrity across all development artifacts.
• SUP.9 Problem Resolution Management — examining how issues, defects, and non-conformances are recorded, analyzed, tracked, and resolved to maintain stability and continuous improvement.
• SUP.10 Change Request Management — learning how change requests are captured, reviewed, approved, and documented to ensure controlled evolution of requirements, designs, and other project artifacts.
• SUP.11 Machine Learning Data Management — understanding how machine learning data is collected, structured, governed, and verified to ensure alignment with ML requirements, full traceability, and transparent communication among all stakeholders involved in ML-based development.

By the end of this course, you will have a clear understanding of how the ASPICE V4.0 Supporting Process Group enables structured governance and high process quality — from assurance to configuration, issue and change handling, and ML data management — ensuring that all supporting activities effectively underpin the delivery of reliable and compliant automotive systems.