Self-Adaptive Woman Health Monitoring System using MAPE Components

In the model-driven software development, various models are generated during development process. In traditional software engineering, due to stable requirements development models were fixed during complete development. But some of these models are changed at runtime if requirements specifications are changed for modern software systems. To manage the changes at runtime, runtime models are developed and used. The developed software will be self-adaptive with self-optimizing and self-healing capabilities. Based on feedback loops, uncertainty is identified and MAPE components are used to implement self-adaptive plan. In this paper, the approach of self-adaptivity is applied to woman health monitoring system to make monitoring system responsive to new scenarios and autonomic. The system is useful for any age woman to monitor health data and make it available to physician for treatment. The state chart models are generated to describe how self-adaptation is analyzed, planned and executed when requirements specifications are changed.