Paper presented at Conference on Software Analysis, Evolution, and Reengineering

Project partner Zurich University of Applied Sciences has co-authored and presented a paper at the 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022) held virtually on 15-18 March 2022. The paper titled "Cost-effective Simulation-based Test Selection in Self-driving Cars Software with SDC-Scissor" describes SDC-Scissor, a framework that leverages Machine Learning to identify simulation-based tests that are unlikely to detect faults in the Self-Driving Cars (SDC) software under test and skip them before their execution. Consequently, by filtering out those tests, SDC-Scissor reduces the number of long-running simulations to execute and drastically increases the cost-effectiveness of simulation-based testing of SDCs software.Paper is available for download here.