A Framework for Building Uncertainty Wrappers for AUML-Based Data-Driven Components

von Kläs, Michael
Veröffentlicht in DECSoS (15. : 2020 : Lissabon; Online) Computer safety, reliability, and security (2020)

Could We Relieve AL/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates

von Jöckel, Lisa
Veröffentlicht in SAFECOMP (40. : 2021 : York; Online) Computer Safety, Reliability, and Security (2021)

Towards a Common Testing Terminology for Software Engineering and Data Science Experts

Veröffentlicht in PROFES (22. : 2021 : Turin; Online) Product-focused software process improvement (2021)

Architectural Patterns for Handlıng Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception

von Groß, Janek
Veröffentlicht in SAFECOMP (41. : 2022 : München) Computer safety, reliability, and security (2022)

Towards Guidelines for Assessing Qualities of Machine Learning Systems

von Siebert, Julien
Veröffentlicht in QUATIC (13. : 2020 : Faro) Quality of information and communications technology (2020)