How can we ensure testing and certification integrity with systems becoming more complex, the integration of systems of systems, as well as the greater use of multicore processors and super-integrated computers? As we continue to move from analogue to digital, how do we accurately test software related systems including COTS components, testing of digital systems, and continuous testing of complex systems? How do we test multicores with multithreading inside? How do we extend testing beyond hardware to systems level? How can we test blockchain authentication to identify corruption? How can we test assemblies, where there are failures on circuit boards (PCBs)? How do you test for long periods in extended testing sessions and what happens on long-term soak testing?
Chair: TBC
What Does it Take to Certify Multicore Avionics for DO-178C? - Dr. Guillem Bernat, Co-Founder and Head of Sales, Rapita Systems, Ltd.
TBC
TBC
Cyberattacks are a major threat to any organisation and is increasing in activity. As more testing moves to the server, remote and distributed testing, or cloud-based environments, securing test processes and data is becoming increasingly important. With more system of system testing, and linking up of components, cybersecurity can only be as good as your weakest point, so how do you test for it? Cybersecurity must be designed into avionics to maintain continuing airworthiness & testing requirements. What do regulators want the industry to do to meet cybersecurity standards? What does an airline need to do to enhance network security on connected aircraft & test it? Can blockchain offer an advantage? In this session, we will explore answers to these questions.
Chair: TBC
TBC
TBC
TBC
TBC
Artificial Intelligence (AI) and Machine Learning (ML) are becoming more popular in the testing environment, but how can you best apply AI to testing? What are the challenges, what is good about it, and what mistakes can be made? AI/ML can be used for handling vast amounts of data to find patterns and help avoid false positives and detect trends. In what other ways can AI/ML benefit the testing environment?
AI and ML are only as good as they are programmed to be and must learn, so how can we 'test the test' to ensure the reliability of AI is working according to requirements/correctly for peace of mind throughout the end-to-end testing process?
Chair: TBC
Title TBC - Dr. Trung T. Pham, Chief Scientific and Technical Advisor for Artificial Intelligence & Machine Learning, Federal Aviation Administration (FAA)
An Update on the AS6983 Standard Artificial Intelligence in Aeronautical Systems - Mark Roboff, CEO, SkyThread
Next Generation Architecture for AI - Michael Mattarock II, Technical Director, AI, Carnegie Mellon University
Title TBC - Matt Jackson, Technical Product Manager for HMI Systems, Presagis