Titlebook: Software Architecture; 15th European Confer Patrizia Scandurra,Matthias Galster,Danny Weyns Conference proceedings 2022 The Editor(s) (if a

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Self-adaptive Machine Learning Systems: Research Challenges and?Opportunitiese describe: (i) a set of causes of machine-learned component misbehavior and a set of adaptation tactics inspired by the literature on machine learning, motivating them with the aid of two running examples from the enterprise systems and cyber-physical systems domains; (ii) the required changes to t

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Behavioral Maps: Identifying Architectural Smells in?Self-adaptive Systems at?Runtimeork, Adasim, and mRUBiS systems developed in Java. The results indicate that runtime ABS identification is required to fully capture SAS architectural qualities because the ABS are feature-dependent, and their number is highly variable for each adaptation. We have observed that some ABS appears in a

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A Probabilistic Model for Effective Explainability Based on Personality Traitsoration. In particular, we focus on the two concerns of . and . of explanation in order to optimize the explanation experience and improve overall system-human utility. Our models are based on probabilistic modeling and analysis to determine at run time what is the most effective explanation under u

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