Cost-Effective Simulation-Based Test Selection in Self-Driving Cars SW

Explore a 42-minute conference talk from Devoxx on cost-effective simulation-based test selection for self-driving car software. Delve into the challenges of testing complex autonomous vehicle systems and learn about SDC-Scissor, a framework that uses machine learning to identify and skip unlikely fault-detecting tests. Discover how this approach can significantly reduce simulation time and increase cost-effectiveness in testing self-driving car software. Gain insights into cyberphysical systems, mobility reliability, and real-world use cases of anomalies in self-driving cars. Understand the importance of proper testing methodologies and how they contribute to enhancing the safety of autonomous vehicles. Find out more about the SDCC tool, test prioritization, and ongoing research in this critical field of automotive technology.

Introduction
About me
Cyberphysical systems
Mobility
Reliability
Use Cases
Anomalies in Selfdriving Cars
Tesla vs Private Jet
Smart Summon
Multimeter
Testing
Simulation
Execution Time
How do we select relevant test scenarios
The SDCC tool
Where to find it
Demo
Test Prioritization
Collaboration
Cosmos
Questions
What makes it safe
The simulator
Questions and answers
Work in progress
Test case