The Q-ImPrESS project is a medium-sized focused research project (STREP) funded under the European Union’s Seventh Framework Programme (FP7), within the ICT Service and Software Architectures, Infrastructures and Engineering priority.

The Q-ImPrESS project is set to run for three years and aims to bring service orientation to critical application domains, such as industrial production control, telecommunication and critical enterprise applications, where guaranteed end-to-end quality of service is particularly important. A more detailed project description can be found here.

The Q-ImPrESS consortium bundles outstanding European research groups on the field of quality assessment and prediction together with leading case study providers and agile and highly innovative SMEs. The project is coordinated by the Research Center for Information Technology (FZI) in Karlsruhe Germany, an organization specialized in technology transfer of highly innovative IT solutions, with extensive experience in the fields of quality assessment and prediction of maintainability and performance, as well as model-driven development and reengineering techniques. The Real-Time Research Centre at Malardalen University is one of Sweden’s centres of excellence and it provides research capabilities in system analysis of various quality attributes. The Software Engineering Group at Politecnico di Milano brings competences in the area of performance prediction combined with meta-modeling, while the Distributed Systems Research Group at Charles University in Prague is internationally renowned for their work on component models, as well as resource benchmarking and modeling. The large industrial partners: ABB AG through its Corporate Research Centre in Ladenburg Germany and Ericsson Nikola Tesla d.d. provide the industrial validation of the research on two case-studies from the domains of production control systems and telecommunications. Itemis GmbH and Softeco Sismat S.p.A. are two highly innovative SMEs, involved in industrial consultancy, as well as various open source communities, supporting the public dissemination of the project results.