R. Mirandola

Uncertainty Interaction in Software-Intensive Systems: A Community Roadmap

Despite substantial progress in managing uncertainty in software-intensive systems, existing methods often treat uncertainty sources independently and provide limited support for understanding their combined effects. When multiple uncertainties propagate through system elements and converge at shared variables, models,...

Verify, Augment, Improve: Self-Adaptation Repair via Automated Knowledge Augmentation from Mistakes

Verify, Augment, and Improve (VAI), a framework that extends a standard MAPE–K architecture with an asynchronous self-improving loop that intercepts ineffective adaptation actions and turns explanations from a descriptive aid into a mechanism for continual improvement of the self-adaptation process.

Large Language Models for Self-Adaptive Systems: Feedback-Loop Integration and Agentic Adaptation