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Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements

23 March 2015

ATC participates in the €3.9 Million HORIZON 2020 Research Program, DICE. The purpose is to define a development methodology and related tools to accelerate the development of business-critical data-intensive cloud applications.

ATC joins leading organizations and universities across Europe in this collaborative research project funded under the ICT theme of HORIZON 2020 Research Program of the European Union. The DICE consortium, coordinated by Imperial College (UK) includes ProDevelop (Spain), Netfective (France), Flexiant (UK), University of Zaragoza (Spain), Xlab Razvoj (Slovenia), Institutul E-AUS (Romania) and Politecnico di Milano (Italy).

Building on the principles of model-driven development (MDD) and on popular standards such as UML, MARTE and TOSCA, the project will create a methodology to define data and data-intensive technologies in cloud applications. The consortium will apply the methodology to develop a quality engineering toolchain offering simulation, verification, and numerical optimization to drive early design stages of application development and guide software quality evolution.

Serving as an end-user of DICE, ATC will  contribute in developing software that meets the high-quality standards expected for business-critical cloud applications, guided by consortium’s expertise in advanced quality engineering. ATC’s software engineers and architects with knowledge in UML modeling will enhance DICE tools and exploit Big Data technologies such as Hadoop/MapReduce, NoSQL, cloud-based storage, and stream processing. The ultimate goal for ATC is to make a fundamental step towards entering the Big Data market.

For more information visit: or contact: Mr Ilias Spais, email: i.spais [at]