30 citations · 41 across the 8 of their papers we have counts for
8 papers
SOTIF-Compliant Scenario Generation Using Semi-Concrete Scenarios and Parameter Sampling
Lukas Birkemeyer, Julian Fuchs, Alessio Gambi +1
The SOTIF standard (ISO 21448) requires scenario-based testing to verify and validate Advanced Driver Assistance Systems and Automated Driving Systems but does not suggest any prac…
TEASER: Simulation-based CAN Bus Regression Testing for Self-driving Cars Software
Christian Birchler, Cyrill Rohrbach, Hyeongkyun Kim +5
Software systems for safety-critical systems like self-driving cars (SDCs) need to be tested rigorously. Especially electronic control units (ECUs) of SDCs should be tested with re…
Machine Learning-based Test Selection for Simulation-based Testing of Self-driving Cars Software
Christian Birchler, Sajad Khatiri, Bill Bosshard +2
Simulation platforms facilitate the development of emerging Cyber-Physical Systems (CPS) like self-driving cars (SDC) because they are more efficient and less dangerous than field…
Cost-effective Simulation-based Test Selection in Self-driving Cars Software
Christian Birchler, Nicolas Ganz, Sajad Khatiri +2
Simulation environments are essential for the continuous development of complex cyber-physical systems such as self-driving cars (SDCs). Previous results on simulation-based testin…
Does Road Diversity Really Matter in Testing Automated Driving Systems? -- A Registered Report
Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano +3
Background/Context. The use of automated driving systems (ADSs) in the real world requires rigorous testing to ensure safety. To increase trust, ADSs should be tested on a large se…
Machine Learning-based Test Selection for Simulation-based Testing of Self-driving Cars Software
Sajad Khatiri, Christian Birchler, Bill Bosshard +2
Abstract Simulation platforms facilitate the development of emerging cyber-physical systems (CPS) like self-driving cars (SDC) because they are more efficient and less dangerous th…
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi +1
Deep Learning (DL) has been successfully applied to a wide range of application domains, including safety-critical ones. Several DL testing approaches have been recently proposed i…
JUGE: An Infrastructure for Benchmarking Java Unit Test Generators
Xavier Devroey, Alessio Gambi, Juan Pablo Galeotti +4
Researchers and practitioners have designed and implemented various automated test case generators to support effective software testing. Such generators exist for various language…