1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.SE2021★ 1 cited
From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development
Jens Heidrich, Michael Kläs, Andreas Morgenstern +4
In recent years, the role and the importance of software in the automotive domain have changed dramatically. Being able to systematically evaluate and manage software quality is be…
cs.CY2019
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications -- A Mapping Study
Rasmus Adler, Mohammed Naveed Akram, Pascal Bauer +6
Context: Across different domains, Artificial Neural Networks (ANNs) are used more and more in safety-critical applications in which erroneous outputs of such ANN can have catastro…
cs.LG2018
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview
Michael Kläs
Quantifying and managing uncertainties that occur when data-driven models such as those provided by AI and machine learning methods are applied is crucial. This whitepaper provides…