Dynamic architectural selection: A genetic algorithm based approach

As the software industry is focusing on dealing with var-ious requirements and environments, such as mobile and ubiquitous environments, software systems are increasingly undergoing many situational changes. These changes in-fluence the quality of services that the software provides.Therefore, to maintain the performance of the software, it must be reconfigured. The reconfiguration is a complex problem if an application faces a large number of situa-tions and has a number of software architectural instances.In this paper, we propose a novel approach to autonomous architectural selection in response to the current situation of various environments. This approach enables a software system to determine the best architectural instance for the current situation. To quickly find the best instance, we ap-ply a genetic algorithm to the selection process. Further, we provide a performance evaluation to demonstrate that our approach efficiently find the best instance (or considerably good instance).