This roadmap paper reports the outcomes of the NII Shonan Seminar No. 232 on Uncertainty Interaction in Software-Intensive Systems (UNISON), held in March 2026 and develops a shared conceptual vocabulary for distinguishing uncertainty sources, propagation, confluence, interaction, and relevance; proposes an abstract wo...
Javier Cámara, R. Mirandola, Kenji Tei et al.· ACM Transactions on Autonomo...· 0 citations
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.
Pietro Benecchi, Luigi Cardone, Matteo Camilli et al.· SEAMS@ICSE· 0 citations
Results indicate that dynamically toggling architectural patterns can be beneficial under specific conditions, with cases leading to an improvement of up to \(10\%\) in learning accuracy, at the cost of negligible overhead at deployment time.
L. Baresi, Ivan Compagnucci, Livia Lestingi et al.· SEAMS@ICSE· 1 citation
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