SPEAKERS
Abstract
Automotive OEMs and Tier 1s face relentless pressure to deliver embedded software faster and at lower cost, without compromising the rigor demanded by Automotive SPICE, ISO 26262, and ISO/SAE 21434. This talk examines how AI and, increasingly, agentic AI are reshaping embedded systems and software development across every phase of the V-model, from requirements engineering and architecture through implementation, verification, and validation.
We will explore concrete, emerging applications: AI-assisted requirements analysis and traceability, automated work-product review and consistency checking, test-case generation, and defect prediction — capabilities that turn quality assurance from a reactive, documentation-heavy activity into a continuous, predictive one. Rather than positioning AI as a shortcut around process, we frame agentic AI as a quality multiplier that strengthens ASPICE compliance and functional-safety evidence while compressing cycle time and cost.
Attendees will leave with a clear view of the current state of the art, the practical opportunities and limitations (including trustworthiness, explainability, and assessor acceptance), and a pragmatic perspective on where agentic AI can deliver measurable improvements in development efficiency and product quality today.