Generic Model for Adaptive Systems Realization

Autor:	Magagi Ali Bachir, Jellouli Ismail, El Garouani Said, Amjad Souad
Rok vydání:	2021
Předmět:	Geography Planning and Development General Earth and Planetary Sciences Water Science and Technology
Zdroj:	International Journal of Organizational and Collective Intelligence. 12:1-17
ISSN:	1947-9352 1947-9344
DOI:	10.4018/ijoci.286186
Popis:	The permanent acquisition of the technical environment state and the ability to react to changes in this environment as well as to adapt to it are nowadays crucial for any information system. In this article, the authors present a well-defined model to guarantee in a simple way the design and the realization of adaptive information systems. This model is based on the Unified Modeling Language (UML) which is a widely known modeling standard. Its coverage is limited to bringing out the graded parties in the design of adaptive information systems. A future definition of a metamodel less related to UML language is therefore possible. The authors also present a code generator based on a model transformation technique. This generator allows you to partially produce domain-specific code as needed. A more complete code generator will come to ensure automatic generation of the code.
Databáze:	OpenAIRE
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