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DICE - Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements
Last updated: 2022-08-25 04:34
Strategic Goals
The rapid increase in demand for data-intensive applications capable of exploiting Big Data technologies such as Hadoop/MapReduce, NoSQL, cloud-based storage, and stream processing is creating massive growth opportunities for European independent software vendors (ISVs).
Solutions Developed / Used
DICE will tackle the challenge by defining a quality-driven development methodology and related tools that will markedly accelerate the development of business-critical data-intensive applications, running on public or private clouds.
Description
| Start Date | 01/02/2015 |
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| End Date | 31/01/2018 |
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| Geographical Scope |
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| Keywords |
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| Cloud Deployment Model |
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| Project Life-Cycle Stage |
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| Specific Domains Targeted |
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| Technology |
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Stakeholders
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ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS (Greece) -
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE (United Kingdom) -
ISTITUTUL E-AUSTRIA TIMISOARA (Romania) -
POLITECNICO DI MILANO (Italy) -
UNIVERSIDAD DE ZARAGOZA (Spain) -
XLAB RAZVOJ PROGRAMSKE OPREME IN SVETOVANJE DOO (Slovenia) -
FLEXIOPS LIMITED (United Kingdom)
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NETFECTIVE TECHNOLOGY SA (France) -
PRODEVELOP (Spain)
Academic/Research Organisations
Industry