4 papers · 1 filter
A Data Annotation Requirements Representation and Specification (DARS)
Yi Peng, Hina Saeeda, Hans-Martin Heyn +3
With the rise of AI-enabled cyber-physical systems, data annotation has become a critical yet often overlooked process in the development of these intelligent information systems.…
Data Annotation Quality Problems in AI-Enabled Perception System Development
Hina Saeeda, Tommy Johansson, Mazen Mohamad +1
Data annotation is essential but highly error-prone in the development of AI-enabled perception systems (AIePS) for automated driving, and its quality directly influences model per…
RE for AI in Practice: Managing Data Annotation Requirements for AI Autonomous Driving Systems
Hina Saeeda, Mazen Mohamad, Eric Knauss +2
High-quality data annotation requirements are crucial for the development of safe and reliable AI-enabled perception systems (AIePS) in autonomous driving. Although these requireme…
Causal Models in Requirement Specifications for Machine Learning: A vision
Hans-Martin Heyn, Yufei Mao, Roland Weiss +1
Specifying data requirements for machine learning (ML) software systems remains a challenge in requirements engineering (RE). This vision paper explores causal modelling as an RE a…