Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment: Second International Workshop, DEVOPS 2019, Château de Villebrumier, France, May 6-8, 2019, Revised Selected Papers

by Jean-Michel Bruel (Editor), Manuel Mazzara (Editor), Bertrand Meyer (Editor)

Overview

This book constitutes revised selected papers of the Second International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, DEVOPS 2019, held at the Château de Villebrumier, France, in May 2019.

The 15 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover a wide range of problems arising from DevOps and related approaches: current tools, rapid development-deployment processes, modeling frameworks, anomaly detection in software releases, DevDataOps, microservices, and related topics.

Product Details

ISBN-13:	9783030393069
Publisher:	Springer-Verlag New York, LLC
Publication date:	01/18/2020
Series:	Lecture Notes in Computer Science , #12055
Sold by:	Barnes & Noble
Format:	eBook
File size:	16 MB
Note:	This product may take a few minutes to download.

Table of Contents

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.