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Next steps in variability management due to autonomous behaviour and runtime learning.. VaMoS, стр. 2:1-2:2. ACM, (2020)Towards an architecture integrating complex event processing and temporal graphs for service monitoring., , , , и . SAC, стр. 427-435. ACM, (2021)Modelling Uncertainty for Requirements: The Case of Surprises., , и . REW, стр. 287-296. IEEE, (2023)An architectural framework for quality-driven adaptive continuous experimentation., , , , , и . RCoSE-DDrEE@ICSE, стр. 20-23. IEEE / ACM, (2019)Modeling Autonomic Systems in the time of ML, DevOps and Microservices.. MoDELS (Companion), стр. 731. IEEE, (2021)History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems., , , и . MoDELS (Companion), стр. 286-295. ACM, (2022)Automated Provenance Collection at Runtime as a Cross-Cutting Concern., , и . MoDELS (Companion), стр. 276-285. IEEE, (2023)Towards an assessment grid for intelligent modeling assistance., , , , , , , , , и 1 other автор(ы). MoDELS (Companion), стр. 48:1-48:10. ACM, (2020)Preface of the 15th International Workshop on Models@run.time'21., , и . MoDELS (Companion), стр. 1. IEEE, (2021)ARRoW: Tool Support for Automatic Runtime Reappraisal of Weights., и . RE, стр. 458-461. IEEE Computer Society, (2017)