The VEDLIoT project aims to develop energy-efficient Deep Learning
metho...
Software that contains machine learning algorithms is an integral part o...
Background: Driving automation systems (DAS), including autonomous drivi...
Context and motivation: The development and operation of critical softwa...
Artificial intelligence (AI) in its various forms finds more and more it...
Using models for requirements engineering (RE) is uncommon in systems
en...
The VEDLIoT project targets the development of energy-efficient Deep Lea...
In order to increase the ability to build complex, software-intensive
sy...
[Context and motivation] For automated driving systems, the operational
...
Together with many success stories, promises such as the increase in
pro...
[Context motivation] Driven by the need for faster time-to-market an...
Practitioners are poorly supported by the scientific literature when man...
Distributed software development is more difficult than co-located softw...
Availability of powerful computation and communication technology as wel...
Context: Software engineering researchers and practitioners rely on empi...
The relevance of Requirements Engineering (RE) research to practitioners...
Large-scale companies commonly face the challenge of managing relevant
k...
Traceability is a key enabler of various activities in automotive softwa...
Large-scale system development companies are increasingly adopting agile...
In large-scale automotive companies, various requirements engineering (R...
Automotive companies increasingly adopt scaled agile methods to allow th...
Traditionally, software APIs (application programming interfaces) have b...
Agile methods are increasingly introduced in automotive companies in the...
In the last decades, agile methods had a huge impact on how software is
...
Requirements engineering is crucial to support agile development of larg...
Problem: The involvement of external stakeholders in capstone projects a...