57 citations · 304 across the 27 of their papers we have counts for
30 papers
A data-flow oriented software architecture for heterogeneous marine data streams
Keila Lima, Ngoc-Thanh Nguyen, Rogardt Heldal +4
Marine in-situ data is collected by sensors mounted on fixed or mobile systems deployed into the ocean. This type of data is crucial both for the ocean industries and public author…
Defining Requirements Strategies in Agile: A Design Science Research Study
Amna Pir Muhammad, Eric Knauss, Odzaya Batsaikhan +3
Research shows that many of the challenges currently encountered with agile development are related to requirements engineering. Based on design science research, this paper invest…
VEDLIoT -- Next generation accelerated AIoT systems and applications
Kevin Mika, René Griessl, Nils Kucza +29
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propo…
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges
Hans-Martin Heyn, Khan Mohammad Habibullah, Eric Knauss +4
Software that contains machine learning algorithms is an integral part of automotive perception, for example, in driving automation systems. The development of such software, speci…
Requirements Engineering for Automotive Perception Systems: an Interview Study
Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay +6
Background: Driving automation systems (DAS), including autonomous driving and advanced driver assistance, are an important safety-critical domain. DAS often incorporate perception…
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications
Hans-Martin Heyn, Eric Knauss, Iswarya Malleswaran +1
Context and motivation: The development and operation of critical software that contains machine learning (ML) models requires diligence and established processes. Especially the t…