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Domain Specific Model Driven Approach for Adaptive Systems
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/311032021
Subject(s) - control reconfiguration , computer science , model driven architecture , unified modeling language , adaptation (eye) , domain (mathematical analysis) , profiling (computer programming) , adaptive system , restructuring , process (computing) , distributed computing , realization (probability) , systems engineering , software engineering , artificial intelligence , engineering , software , programming language , embedded system , mathematical analysis , statistics , physics , mathematics , optics , finance , economics
An adaptive system is any system that can self-conform according to changes that occur inhis environment. Self-adaptation includes self-reconfiguration, self-restructuring, self-repair, self-optimization or allat the same time. The realization of this kind of systems, in spite of the efforts made, suffers from a deficiency of engineering approaches. One of the most promising techniques in this quest is model-driven engineering. In the model-driven engineering paradigm, the model is the backbone of the systems engineering process. In this paper, we outline a model-based approach that offers a way to explicitly design self-adapting standard systems. We define it based on the UML profiling technique which allows to specify models for the most application domain frameworks. Through this profile we clearly define the components involved in the management of adaptation of systems, as well as the relationships between them. We present, for practical validation, an example application based on the approach.

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