28 citations · 56 across the 13 of their papers we have counts for
19 papers · 1 filter
A/B Testing: A Systematic Literature Review
Federico Quin, Danny Weyns, Matthias Galster +1
In A/B testing two variants of a piece of software are compared in the field from an end user's point of view, enabling data-driven decision making. While widely used in practice,…
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning
Federico Quin, Danny Weyns, Omid Gheibi
Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these s…
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning
Federico Quin, Danny Weyns
A/B testing is a common approach used in industry to facilitate innovation through the introduction of new features or the modification of existing software. Traditionally, A/B tes…
From Self-Adaptation to Self-Evolution Leveraging the Operational Design Domain
Danny Weyns, Jesper Andersson
Engineering long-running computing systems that achieve their goals under ever-changing conditions pose significant challenges. Self-adaptation has shown to be a viable approach to…
On the Need for Artifacts to Support Research on Self-Adaptation Mature for Industrial Adoption
Danny Weyns, Thomas Vogel
Despite the vast body of knowledge developed by the self-adaptive systems community and the wide use of self-adaptation in industry, it is unclear whether or to what extent industr…
Specification Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems
Danny Weyns, Paris Avegriou, Radu Calinescu +3
Over the past two decades, researchers and engineers have extensively studied the problem of how to enable a software system to deal with uncertain operating conditions. One promin…