361 citations · 362 across the 6 of their papers we have counts for
4 papers · 1 filter
Quality Metrics for LLM-Generated Asset Administration Shells: A Perturbation-Based Evaluation Approach
Janek Groß, Elena Zentgraf, Jens Heidrich
The rapid digital transformation of manufacturing, often referred to as Industry 4.0, relies on seamless interoperability between physical and software assets. A central enabler is…
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning
Lisa Jöckel, Michael Kläs, Janek Groß +8
Assurance Cases (ACs) are an established approach in safety engineering to argue quality claims in a structured way. In the context of quality assurance for Machine Learning (ML)-b…
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception
Janek Groß, Rasmus Adler, Michael Kläs +3
Data-driven models (DDM) based on machine learning and other AI techniques play an important role in the perception of increasingly autonomous systems. Due to the merely implicit d…
Towards a Common Testing Terminology for Software Engineering and Data Science Experts
Lisa Jöckel, Thomas Bauer, Michael Kläs +2
Analytical quality assurance, especially testing, is an integral part of software-intensive system development. With the increased usage of Artificial Intelligence (AI) and Machine…