Adam Mackay
Adam Mackay is Head of AI Research at QA-Systems, leading research into AI testing for safety-critical systems. With 28 years in embedded software testing across aerospace, automotive, and medical sectors, he helps regulated industries adopt AI while maintaining compliance with DO-178C, ISO 26262, and IEC 62304.
He is co-author of "Embedded Software Testing: From Fundamentals to AI" (BPB, 2025) and focuses on testing frameworks for AI in safety-critical systems, including RAG architectures.
QA-Systems
Head of AI Research
Beitrag
Unit test creation for embedded C/C++ code remains one of the most time-consuming activities in safety-critical development, yet pressure to accelerate time-to-market has never been greater. This talk presents practical approaches to AI-assisted test generation that maintain compliance with DO-178C, ISO 26262, and IEC 62304.
Adam demonstrates how LLM-powered workflows can accelerate test creation by 40+% while preserving traceability and coverage requirements. Attendees will learn to evaluate AI-generated tests against safety criteria, implement human-in-the-loop validation, and integrate AI assistance into certified toolchains without compromising qualification status.
The presentation includes live demonstrations of Claude Code integration with certified testing frameworks and critical governance considerations for AI in regulated development.
Particularly relevant for teams with test maintenance backlogs in automotive and medical device sectors.