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- W3193574253 abstract "Resource-driven systems have tasks that are bound by limited resources. These systems must adapt their tasks that cannot gain access to sufficient resources. This dissertation proposes a new resource-driven adaptation approach, which aims to support (1) task prioritisation using multiple criteria such as the time of day that a task should be executed, the role of involved users, and selection of the least costly adaptation types; (2) collaboration between a human user and a software tool for preparing adapted task behaviour to be used when resources are substituted; and (3) resource extensibility and heterogeneity. The proposed approach is being implemented and will be evaluated with scenarios from enterprise applications." @default.
- W3193574253 created "2021-08-30" @default.
- W3193574253 creator A5034934055 @default.
- W3193574253 date "2021-08-18" @default.
- W3193574253 modified "2023-09-27" @default.
- W3193574253 title "Towards an approach for resource-driven adaptation" @default.
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- W3193574253 doi "https://doi.org/10.1145/3468264.3473098" @default.
- W3193574253 hasPublicationYear "2021" @default.
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