30 citations · 38 across the 12 of their papers we have counts for
12 papers
The Role of Road Features and Vehicle Dynamics in Cost-Effective Autonomous Vehicles Safety Testing: Insights from Instance Space Analysis
Victor Crespo-Rodriguez, Christian Birchler, Neelofar +2
Context: Simulation-based testing is a cost-efficient alternative to field testing for Autonomous Vehicles (AVs), but generating safety-critical test cases is challenging due to th…
ICST Tool Competition 2025 -- Self-Driving Car Testing Track
Christian Birchler, Stefan Klikovits, Mattia Fazzini +1
This is the first edition of the tool competition on testing self-driving cars (SDCs) at the International Conference on Software Testing, Verification and Validation (ICST). The a…
A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction
Christian Birchler, Sajad Khatiri, Pooja Rani +2
As the era of autonomous cyber-physical systems (ACPSs), such as unmanned aerial vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to real…
SBFT Tool Competition 2024 -- Python Test Case Generation Track
Nicolas Erni, Al-Ameen Mohammed Ali Mohammed, Christian Birchler +3
Test case generation (TCG) for Python poses distinctive challenges due to the language's dynamic nature and the absence of strict type information. Previous research has successful…
How does Simulation-based Testing for Self-driving Cars match Human Perception?
Christian Birchler, Tanzil Kombarabettu Mohammed, Pooja Rani +3
Software metrics such as coverage and mutation scores have been extensively explored for the automated quality assessment of test suites. While traditional tools rely on such quant…
Diversity-guided Search Exploration for Self-driving Cars Test Generation through Frenet Space Encoding
Timo Blattner, Christian Birchler, Timo Kehrer +1
The rise of self-driving cars (SDCs) presents important safety challenges to address in dynamic environments. While field testing is essential, current methods lack diversity in as…
SensoDat: Simulation-based Sensor Dataset of Self-driving Cars
Christian Birchler, Cyrill Rohrbach, Timo Kehrer +1
Developing tools in the context of autonomous systems [22, 24 ], such as self-driving cars (SDCs), is time-consuming and costly since researchers and practitioners rely on expensiv…
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…
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…
Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments
Christian Birchler, Sajad Khatiri, Pouria Derakhshanfar +2
Testing with simulation environments helps to identify critical failing scenarios for self-driving cars (SDCs). Simulation-based tests are safer than in-field operational tests and…