MENTA: A Quality Analysis Approach for Self-Adapting Systems

Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Self-adaptive behavior is a feature which architects needs to include in their systems in order to improve its reliability. However, despite several ways to get it; it is still hard to implement a self-adaptive system focused on non-functional properties. Difficulties to express quality attributes in the system without combining business logic with the self-adaptation logic and to include new services on runtime are some of them. In this paper, the authors propose a model-driven analysis approach to offer a mechanism which allows the desired quality requirements and adaptation strategies in a system to be expressed in a simple and non-intrusive manner.

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