Teaching DevOps in Academia and Industry: Reflections and Vision.- A Model-Driven Approach Towards Automatic Migration to Microservices.- Anomaly Detection in DevOps Toolchain.- From DevOps to DevDataOps: Data Management in DevOps processes.- Exploiting agile practices to teach Computational Thinking.- Towards a Model-Based DevOps for Cyber-Physical Systems.- A DevOps Perspective for QoS-aware Adaptive Applications.- Learning agility from dancers { experience and lesson learnt.- Development and Operation of Trustworthy Smart IoT Systems: The ENACT Framework.- Towards Modeling Framework for DevOps: Requirements Derived from Industry Use Case.- Towards Designing Smart Learning Environments with IoT.- Opunit: Sanity Checks for Computing Environments.- Towards Bridging the Value Gap in DevOps.- ArchiMate as a Specification Language for Big Data Applications - DataBio Example.- Fallacies and Pitfalls on the road to DevOps: a Longitudinal Industrial Study.