Model-driven engineering (MDE) has been extended in recent years to account for reliability and performance requirements since the early design stages of an application. While this quality-aware MDE exists for both enterprise and cloud applications, it does not exist yet for Big Data systems. DICE is a novel Horizon2020 project that aims at filling this gap by defining the first quality-driven MDE methodology for Big Data applications. Concrete outputs of the project will include a data-aware UML profile capable of describing Big Data technologies and architecture styles, data-aware quality prediction methods, and continuous delivery tools
In recent years, we have seen many performance fiascos in the deployment of new systems, such as the...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Big Data or Data-Intensive applications (DIAs) seek to mine, manipulate, extract or otherwise exploi...
Model-driven engineering (MDE) has been extended in recent years to account for reliability and perf...
© Springer International Publishing Switzerland 2016.Model-driven engineering (MDE) has been extende...
Model-driven engineering (MDE) often features quality assurance (QA) techniques to help developers c...
© 2015 IEEE.Model-driven engineering (MDE) often features quality assurance (QA) techniques to help ...
The focus of the DICE project is to define a quality-driven framework for developing Big data applic...
Data intensive applications that leverage Big Data technologies are rapidly gaining market trend. Ho...
With a continuously increasing amount and complexity of data being produced and captured, traditiona...
Big Data technologies are rapidly becoming a key enabler for modern industries. However, the entry c...
In recent years, we have seen many performance fiascos in the deployment of new systems, such as the...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Big Data or Data-Intensive applications (DIAs) seek to mine, manipulate, extract or otherwise exploi...
Model-driven engineering (MDE) has been extended in recent years to account for reliability and perf...
© Springer International Publishing Switzerland 2016.Model-driven engineering (MDE) has been extende...
Model-driven engineering (MDE) often features quality assurance (QA) techniques to help developers c...
© 2015 IEEE.Model-driven engineering (MDE) often features quality assurance (QA) techniques to help ...
The focus of the DICE project is to define a quality-driven framework for developing Big data applic...
Data intensive applications that leverage Big Data technologies are rapidly gaining market trend. Ho...
With a continuously increasing amount and complexity of data being produced and captured, traditiona...
Big Data technologies are rapidly becoming a key enabler for modern industries. However, the entry c...
In recent years, we have seen many performance fiascos in the deployment of new systems, such as the...
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of d...
Big Data or Data-Intensive applications (DIAs) seek to mine, manipulate, extract or otherwise exploi...