Author

Oliver Weissl

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Preprint Oct 2026

The Reality Gap in Automated Driving Systems Testing: Landscape, Challenges, and Research Directions

Simulation is essential for testing automated driving systems (ADS), but discrepancies between simulation and reality can undermine testing conclusions. It remains unclear which discrepancies the literature addresses and what evidence supports correspondence claims. We present a systematic mapping of 235 primary studie...

Stefano Carlo Lambertenghi, Oliver Weissl, Johannes Betz et al. · 0 citations

Preprint Jul 2026

CodeTransBenchmark: Evaluating LLM-based Code Translation and Repair Across Programming Languages

Large Language Models (LLMs) pre-trained on expansive text and code corpora have revealed promising code generation abilities and have attracted increasing attention in code translation. In this work, we investigate the effectiveness of LLMs in code translation and translation error repair. First, we present CodeTransB...

Vera Kowalczuk, Oliver Weissl, Severin Kacianka et al. · 1 citation

Jul 2026

Generative Testing of Automated Speech Recognition Systems

GATAS, a black-box testing approach that generates failure inducing inputs by operating in the phoneme-level latent space of a text- to-speech model, demonstrates that untargeted latent-space optimization enables the efficient generation of realistic and effective test cases for ASR systems.

Yanis Xabier Wilbrand Peña, Oliver Weissl, Andrea Stocco · arXiv.org · 0 citations