Model-driven Engineering IDE for Quality Assessment of Data-intensive Applications

TL;DR

This paper presents a model-driven engineering IDE designed to support iterative quality assessment and enhancement of data-intensive cloud applications within a comprehensive framework.

Contribution

It introduces an integrated IDE as part of a new MDE methodology for improving quality in data-intensive cloud applications, supporting iterative analysis and deployment.

Findings

Supports architectural design with QoS/QoD annotations

Enables iterative quality assessment and deployment

Integrates multiple tools within a unified framework

Abstract

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.