research
∙
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...
share
research
∙
11/04/2022
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation
Recently, machine learning (ML) has become a popular approach to support...
research
∙
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...
research
∙
04/04/2022
Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning
In the past years, machine learning (ML) has become a popular approach t...
research
∙
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 ...
research
∙
03/16/2021
Decentralized Self-Adaptive Systems: A Mapping Study
With the increasing ubiquity and scale of self-adaptive systems, there i...
research
∙
03/06/2021
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review
Recently, we witness a rapid increase in the use of machine learning in ...
research
∙
04/27/2019