19 citations
- Technical University of MunichDE17 papers
- University of StuttgartDE5 papers
- Karlsruhe Institute of TechnologyDE4 papers
- Daimler (Germany)DE2 papers
- Daimler Truck (Germany)2 papers
- Fraunhofer Institute for Manufacturing Engineering and AutomationDE2 papers
- Software (Germany)DE2 papers
- University of PassauDE2 papers
- Weizenbaum InstituteDE2 papers
- Berlin Center for Epidemiology and Health ResearchDE1 paper
- Brainlab (Germany)DE1 paper
- Centre Inria de l'Université de LorraineFR1 paper
33 papers
Automating Quality Assessment with NLP of LLM-Generated Defeaters
Tihomir Rohlinger, Daniel Ratiu, Stefan Wagner
High-integrity systems, such as autonomous vehicle fleets and large-scale energy infrastructures, rely on structured assurance cases to justify safety claims. To remain valid under…
Towards Automated Crowdsourced Testing via Personified-LLM
Shengcheng Yu, Yuchen Ling, Chunrong Fang +2
The rapid proliferation and increasing complexity of software demand robust quality assurance, with graphical user interface (GUI) testing playing a pivotal role. Crowdsourced test…
Breaking Negative Cycles: A Reflection-To-Action System For Adaptive Change
Minsol Michelle Kim, Daniel M. Low, David Lafond +8
Breaking negative mental health cycles, including rumination and recurring regrets, requires reflection that translates awareness into behavioral change. Grounded in the Transtheor…
Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study
Ludwig Felder, Tobias Eisenreich, Mahsa Fischer +2
Generative artificial intelligence (GenAI) tools have seen rapid adoption among software developers. While adoption rates in the industry are rising, the underlying factors influen…
Test Case Specification Techniques and System Testing Tools in the Automotive Industry: A Review
Denesa Zyberaj, Pascal Hirmer, Marco Aiello +1
The automotive domain is shifting to software-centric development to meet regulation, market pressure, and feature velocity. This shift increases embedded systems' complexity and s…
Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
Vu Duc Anh Nguyen, Ziyue Li
The operational efficiency of railway networks, a cornerstone of modern economies, is persistently undermined by the cascading effects of train delays. Accurately forecasting this…