4 citations · 4 across the 8 of their papers we have counts for
6 papers · 1 filter
In the Driver's Seat: A Multi-Company Study on the Reality of Autonomous Driving System Testing
Qunying Song, Yuan Gao, Johannes Betz +3
Autonomous driving systems (ADS) are rapidly advancing and increasingly deployed in real-world applications. This creates growing demands for effective testing to ensure system fun…
From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry
Qunying Song, Ali Nouri, Håkan Sivencrona +1
Autonomous driving systems (ADS) are increasingly deployed in real traffic, yet testing remains fundamentally challenging due to open environments, complex scenarios, and the lack…
Generative AI for Testing of Autonomous Driving Systems: A Survey
Qunying Song, He Ye, Mark Harman +1
Autonomous driving systems (ADS) have been an active area of research, with the potential to deliver significant benefits to society. However, before large-scale deployment on publ…
Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios
Qunying Song, Emelie Engström, Per Runeson
Testing autonomous driving systems for safety and reliability is extremely complex. A primary challenge is identifying the relevant test scenarios, especially the critical ones tha…
Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications
Qunying Song, Markus Borg, Emelie Engström +2
There is a growing interest in industry and academia in machine learning (ML) testing. We believe that industry and academia need to learn together to produce rigorous and relevant…
Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice
Qunying Song, Emelie Engström, Per Runeson
Testing of autonomous systems is extremely important as many of them are both safety-critical and security-critical. The architecture and mechanism of such systems are fundamentall…