Software Testing is a well-established area in software engineering, encompassing various
techniques and methodologies to ensure the quality of software systems. However, with the …

Autonomous driving systems (ADS) are safety-critical systems that require thorough testing
to ensure their safety. Current testing methods for ADS primarily focus on finding crash …

AI-powered systems have gained widespread popularity in various domains, including
Autonomous Vehicles (AVs). However, ensuring their reliability and safety is challenging …

Scenario-based testing is envisioned as a key approach for the safety assurance of
autonomous vehicles. In scenario-based testing, relevant (driving) scenarios are the basis of …

The conformance testing of programming language implementations is crucial to support
correct and consistent execution environments. Because manually maintaining conformance …

Automotive software development requires engineers to test their systems to detect
violations of both functional and drivability requirements. Functional requirements define the …

Highly Automated Vehicles (HAVs) are exposed to numerous unexpected faults that
threaten the functionality of the Autonomous Driving System (ADS) in HAVs, and even minor …

Assuring the safety of autonomous vehicles is more and more approached by using
scenario-based testing. Relevant driving situations are utilized here to fuel the argument that …

Testing autonomous driving systems for safety and reliability is essential, yet complex. A
primary challenge is identifying relevant test scenarios, especially the critical ones that may …

Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as
text generation, summarization, and classification. Given that such models are trained on a …