Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
| Publication date | 29/06/2021 |
|---|---|
| Host publication | 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) |
| Publisher | IEEE |
| Pages | 256-257 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665402897 |
| ISBN (Print) | 9781665402903 |
| <mark>Original language</mark> | English |
| Name | Proceedings - 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2021 |
|---|---|
| ISSN (Print) | 2157-2305 |
| ISSN (Electronic) | 2157-2321 |
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.