169 citations · 275 across the 7 of their papers we have counts for
8 papers
Building AI Innovation Labs together with Companies
Jens Heidrich, Andreas Jedlitschka, Adam Trendowicz +1
In the future, most companies will be confronted with the topic of Artificial Intelligence (AI) and will have to decide on their strategy in this regards. Currently, a lot of compa…
Tackling Consistency-related Design Challenges of Distributed Data-Intensive Systems - An Action Research Study
Susanne Braun, Stefan Deßloch, Eberhard Wolff +2
Background: Distributed data-intensive systems are increasingly designed to be only eventually consistent. Persistent data is no longer processed with serialized and transactional…
Rethinking Sustainability Requirements: Drivers, Barriers and Impacts of Digitalisation from the Viewpoint of Experts
Alessio Ferrari, Manlio Bacco, Kirsten Moore +6
Requirements engineering (RE) is a key area to address sustainability concerns in system development. Approaches have been proposed to elicit sustainability requirements from inter…
Developing and Operating Artificial Intelligence Models in Trustworthy Autonomous Systems
Silverio Martínez-Fernández, Xavier Franch, Andreas Jedlitschka +2
Companies dealing with Artificial Intelligence (AI) models in Autonomous Systems (AS) face several problems, such as users' lack of trust in adverse or unknown conditions, gaps bet…
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…
Inferencing into the void: problems with implicit populations Comments on `Empirical software engineering experts on the use of students and professionals in experiments'
Martin Shepperd
I welcome the contribution from Falessi et al. [1] hereafter referred to as F++ , and the ensuing debate. Experimentation is an important tool within empirical software engineering…