Continuous management of design- and run-time artifacts for self-adaptive systems

Paper in proceeding, 2017

With the rise of smart and autonomous systems, self-adaptation plays a significant role in the capabilities of software-intensive systems. When developing and operating self-adaptive systems, a growing amount of information is required. This information forms the basis to systems' evolution and adaptation at run time, but is also used at design time to evolve and maintain the systems. To support development organizations in the future, efficient ways to manage information throughout the systems' lifecycle are needed. However, there is currently a lack of methods to continuously manage artifacts for self-adaptive systems. In our research, we aim to close this gap by developing methods and techniques to manage both design-time and run-time artifacts. We conduct empirical studies to identify practitioners' needs and challenges. Then we develop innovative solutions and technologies and evaluate them in practical scenarios.