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PROGRESS research projects



Q-ImPreSS - Quality Impact Prediction for Evolving Service-oriented Software

Leader: Ivica Crnkovic
Members: Ivica Crnkovic, Paul Pettersson, Cristina Seceleanu, Aida Causevic, Christer Norström
Former: Johan Kraft, Anders Wall
Keywords: service, component-based development, quality prediction
Status: finished , start date: 2008-01-01 , End date: 2010-12-31
Partners: Research Center for Information Technology (FZI) in Karlsruhe Germany,
The Software Engineering Group at Politecnico di Milano
Distributed Systems Research Group at Charles University, Prague
ABB Corporate Research Centre, Germany
Ericsson Nikola Tesla, Croatia,
Itemis GmbH, Germany
Softeco Sismat S.p.A.Italy
Funding: EU FP7
Web: Project web page

 

Overview

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.
 

Latest project publications [ Show all publications ]


A Classification Framework for Software Component Models, Ivica Crnkovic, Séverine Sentilles, Aneta Vulgarakis, Michel Chaudron (Technical University Eindhoven), IEEE Transaction of Software Engineering, vol 37, nr 5, p593-615, IEEE, October, 2011

Validation of Embedded Systems Behavioral Models on a Component-Based Ericsson Nikola Tesla Demonstrator, Aneta Vulgarakis, Cristina Seceleanu, Paul Pettersson, Ivan Skuliber (Ericsson Nikola Tesla, Zagreb, Croatia), Darko Huljenic (Ericsson Nikola Tesla, Zagreb, Croatia), 11th InternationalConference on Quality Software (QSIC 2011), IEEE, Madrid, Spain, July, 2011

Formal Approaches to Service-oriented Design: From Behavioral Modeling to Service Analysis, Aida Causevic, Licentiate Thesis, Mälardalen University, June, 2011



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