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If a System is Learning to Self-adapt, Who's Teaching?

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Published
Publication date29/06/2021
Host publication2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
PublisherIEEE
Pages256-257
Number of pages2
ISBN (electronic)9781665402897
ISBN (print)9781665402903
<mark>Original language</mark>English

Publication series

NameProceedings - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021
ISSN (Print)2157-2305
ISSN (electronic)2157-2321

Abstract

Self-adaptation is increasingly driven by machine-learning methods. We argue that the ultimate challenge for self-adaptation currently is to retain the human in the loop just enough to ensure sound evolution of automated self-adaptation.