Model-driven Engineering IDE for Quality Assessment of Data-intensive Applications
This provides a tool for designers, administrators, and quality assurance engineers to improve the quality of data-intensive applications, but it appears incremental as part of an existing project framework.
The paper tackles the challenge of quality assessment for Data-Intensive Cloud Applications by introducing a model-driven engineering IDE that integrates tools to enable iterative design, analysis, and deployment, resulting in a framework developed as part of the H2020 DICE project.
This article introduces a model-driven engineering (MDE) integrated development environment (IDE) for Data-Intensive Cloud Applications (DIA) with iterative quality enhancements. As part of the H2020 DICE project (ICT-9-2014, id 644869), a framework is being constructed and it is composed of a set of tools developed to support a new MDE methodology. One of these tools is the IDE which acts as the front-end of the methodology and plays a pivotal role in integrating the other tools of the framework. The IDE enables designers to produce from the architectural structure of the general application along with their properties and QoS/QoD annotations up to the deployment model. Administrators, quality assurance engineers or software architects may also run and examine the output of the design and analysis tools in addition to the designer in order to assess the DIA quality in an iterative process.