Model-driven continuous deployment for quality DevOps

Abstract

DevOps entails a series of software engineering strategies and tools that promise to deliver quality and speed at the same time with little or no additional expense. In our work we strived to enable a DevOps way of working, combining Model-Driven Engineering tenets with the challenges of delivering a model-driven continuous deployment tool that allows quick (re-)deployment of cloud applications for the purpose of continuous improvement. This paper illustrates the DICER tool and elaborates on how it can bring about the DevOps promise and enable the quality-awareness.