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Synthesis of probabilistic models for quality-of-service software engineering.

, , and . Autom. Softw. Eng., 25 (4): 785-831 (2018)

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Supporting Self-Adaptation via Quantitative Verification and Sensitivity Analysis at Run Time., , and . IEEE Trans. Software Eng., 42 (1): 75-99 (2016)Learning from the past: automated rule generation for complex event processing., , and . DEBS, page 47-58. ACM, (2014)Quality Prediction of Service Compositions through Probabilistic Model Checking., , , and . QoSA, volume 5281 of Lecture Notes in Computer Science, page 119-134. Springer, (2008)Performance-driven dynamic service selection., , , and . Concurr. Comput. Pract. Exp., 27 (3): 633-650 (2015)Introducing uncertainty in complex event processing: model, implementation, and validation., , , and . Computing, 97 (2): 103-144 (2015)Reliability of Run-Time Quality-of-Service evaluation using parametric model checking., , and . ICSE, page 73-84. ACM, (2016)Reactive Programming: A Walkthrough., , and . ICSE (2), page 953-954. IEEE Computer Society, (2015)ISBN 978-1-4799-1934-5 (Vol. I + II ???).Conquering Complexity via Seamless Integration of Design-Time and Run-Time Verification., , , and . Conquering Complexity, Springer, (2012)Towards decentralized self-adaptive component-based systems., , and . SEAMS, page 57-64. ACM, (2008)Predicting Performance Properties for Open Systems with KAMI., and . QoSA, volume 5581 of Lecture Notes in Computer Science, page 70-85. Springer, (2009)