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Designing a Virtual Verification Machine for Safety Assurance of Continuously Evolving Automated Driving Systems

Event: AutoSens Europe
| Session date: Wednesday 8th October
Session date: Wednesday 8th October
, 2025

Hear from:

Håkan Sivencrona​
Håkan Sivencrona​
Håkan Sivencrona​
Senior Technical Leader - AD/ADAS Safety,

Volvo

Håkan Sivencrona​
Håkan Sivencrona​
Håkan Sivencrona​
Senior Technical Leader - AD/ADAS Safety,

Volvo

Continuous integration and deployment of software including machine learning components. DevOps is a standard practice in IT and cloud systems to reduce the time between Development and Operations, enabling frequent releases. The practice is closely related to agile development with abilities to quickly respond to changes in requirements. Safety engineering practices placing stringent emphasis on design for safety, and Verification and Validation (V&V) – characterized by very long and slow cycles in software and data updates. A key reason for this is that safety is a property that depends on the behavior of an integrated system as-a-whole in its environment, and hence it is not enough to verify only the software, requiring costly and complicated V&V efforts. Academically, ”SafeOps” or “SafeDevOps” represent recent research themes in safety conferences and exemplified with recent international projects such as the large AutoDevSafeOps German project, with emphasis on systems engineering methods including V&V methodologies,

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