Evolving an adaptive industrial software system to use architecture-based self-adaptation

Although architecture-based self-adaptation has been widely used, there is still little understanding about the validity and tradeoffs of incorporating it into real-world software-intensive systems which already feature built-in adaptation mechanisms. In this paper, we report on our experience in integrating Rainbow, a platform for architecture-based self-adaptation, and an industrial middleware employed to monitor and manage highly populated networks of devices. Specifically, we reflect on aspects such as the effort required for framework customization and legacy code refactoring, performance improvement, and the impact of architecture-based self-adaptation on system evolution.