Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review
Omid Gheibi,
Danny Weyns,
Federico Quin
Abstract:Recently, we witness a rapid increase in the use of machine learning techniques in self-adaptive systems. Machine learning has been used for a variety of reasons, ranging from learning a model of the environment of a system during operation to filtering large sets of possible configurations before analysing them. While a body of work on the use of machine learning in self-adaptive systems exists, there is currently no systematic overview of this area. Such overview is important for researchers to understand th… Show more
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