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- W2621388488 abstract "Future-generation Self-Adaptive Systems (SASs) are required to adapt to the multiple, interrelated, and evolving changes. Current adaptation planning methods, which consider only one or two changes at a time and assume that changes are independent and the prioritization of them is static, need to be improved. Arguing that the adaptation planning is a search problem, this thesis highlights the feasibility and potential benefits of adopting Search-Based Optimization as an innovative planning method. A search-based adaptation planning framework is proposed to deal with these changes and make the best decisions for future-generation SASs." @default.
- W2621388488 created "2017-06-09" @default.
- W2621388488 creator A5021225958 @default.
- W2621388488 date "2017-05-01" @default.
- W2621388488 modified "2023-10-16" @default.
- W2621388488 title "Search-Based Adaptation Planning Framework for Self-Adaptive Systems" @default.
- W2621388488 cites W2013298510 @default.
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- W2621388488 doi "https://doi.org/10.1109/icse-c.2017.21" @default.
- W2621388488 hasPublicationYear "2017" @default.
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