A growing number of software systems operate in uncertain environments. They benefit from an ability to autonomously adapt to changes during runtime without suffering from a lowered quality of service. Several different architectural approaches to self-adaptive software exist with their sources of inspiration varying from psychology to mathematics. In this literature survey, we study and evaluate four types of approaches: architecture-based, control-based, learning-based and awareness-based approaches. Our aim is to clarify whether a unified, general approach to computational self-adaptivity is possible and what it could look like. We conclude that a general solution should combine aspects of all of the studied approaches.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.