Titlebook: Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and ; Second International Jean-Michel Brue

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Towards Modeling Framework for DevOps: Requirements Derived from Industry Use Case, engineering framework composed of process, methods, and tools. A core part of this framework relates to the modeling of the different aspects of the DevOps system. To better understand the requirements of modeling in a DevOps context, we focus on a Product Build use case provided by an industry partner.

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Towards Designing Smart Learning Environments with IoT,tration of a tool we developed to provide an adaptive learning experience in response to a remote learner’s emotions, and (iii) a discussion on three domain-related quality requirements to consider when designing IoTs applications for education; namely, security, scalability and humanization.

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ArchiMate as a Specification Language for Big Data Applications - DataBio Example,iMate bridges the gap between those perspectives and can serve as an input for the model-driven development of Big Data applications. The authors provide the essence of the method and illustrate it with an example.

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A Model-Driven Approach Towards Automatic Migration to Microservices, availability while developing modern software systems, microservices allow developers to realize complex systems as a set of small services that operate independently and that are easy to maintain and evolve. Migration from monolithic applications to microservices-based application is a challenging

擴大

FLIRT

From DevOps to DevDataOps: Data Management in DevOps Processes,nd case studies. DevOps is now becoming the main-stream solution adopted by the software industry in development, able to reduce the time to market and costs while improving quality and ensuring evolvability and adaptability of the resulting software architecture. Among the aspects to take into acco

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Towards a Model-Based DevOps for Cyber-Physical Systems,ation of physical and cyber parts in innovative complex systems or production chains, together with the management of the data gathered from the environment to drive dynamic reconfiguration at runtime or finding improved designs. In such a context, the engineering of CPS must rely on models to unifo

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