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Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment

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Table of Contents

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    Book Overview
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    Chapter 1 Teaching DevOps in Academia and Industry: Reflections and Vision
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    Chapter 2 A Model-Driven Approach Towards Automatic Migration to Microservices
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    Chapter 3 Anomaly Detection in DevOps Toolchain
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    Chapter 4 From DevOps to DevDataOps: Data Management in DevOps Processes
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    Chapter 5 Exploiting Agile Practices to Teach Computational Thinking
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    Chapter 6 Towards a Model-Based DevOps for Cyber-Physical Systems
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    Chapter 7 A DevOps Perspective for QoS-Aware Adaptive Applications
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    Chapter 8 Learning Agility from Dancers – Experience and Lesson Learnt
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    Chapter 9 Development and Operation of Trustworthy Smart IoT Systems: The ENACT Framework
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    Chapter 10 Towards Modeling Framework for DevOps: Requirements Derived from Industry Use Case
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    Chapter 11 Towards Designing Smart Learning Environments with IoT
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    Chapter 12 Opunit: Sanity Checks for Computing Environments
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    Chapter 13 Towards Bridging the Value Gap in DevOps
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    Chapter 14 ArchiMate as a Specification Language for Big Data Applications - DataBio Example
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    Chapter 15 Fallacies and Pitfalls on the Road to DevOps: A Longitudinal Industrial Study
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