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Context-aware systems gain recognition in rapidly growing information systems market. Systems run time adaption based on contextual information have been considered as a powerful mean towards better systems performance which help to reach overall organizational goals and to improve key performance indicators. This paper describes the concept where information systems can be divided into many software entities and each of them can be context dependent. Context situation dependent software entity execution routines are observed, and these observations are used to formulate Context dependency rules either manually or by machine learning. Rule based adaptation allows to monitor adaptation process in a transparent way and allows to take into account human knowledge in adaptation process. The entity-based adaption allows for a uniform approach inducing context-dependency to different part of the software

ITKC 03000-3.1.2/179 collaborative project with SIA "ZZ Dats"

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