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20122023
most citedApplying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review

164 citations · 351 across the 29 of their papers we have counts for

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5 papers · 1 filter

cs.SE2023★ 6 cited

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,…

cs.SE2023★ 16 cited

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…

cs.SE2023

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…

cs.SE2023

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…

cs.SE2023

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…