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08/09/2023
A/B Testing: A Systematic Literature Review
In A/B testing two variants of a piece of software are compared in the f...
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06/02/2023
Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning
A/B testing is a common approach used in industry to facilitate innovati...
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06/02/2023
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning
Modern software systems often have to cope with uncertain operation cond...
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06/24/2022
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
Artifacts support evaluating new research results and help comparing the...
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04/13/2022
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive Systems
Many software systems today face uncertain operating conditions, such as...
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04/04/2022
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing
Micro-services are a common architectural approach to software developme...
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03/18/2021
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems
Recently, we have been witnessing an increasing use of machine learning ...
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03/16/2021
Decentralized Self-Adaptive Systems: A Mapping Study
With the increasing ubiquity and scale of self-adaptive systems, there i...
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03/06/2021