Q-ImPrESS
Quality Impact Prediction for Evolving Service-Oriented Software
| Coordinatore | FORSCHUNGSZENTRUM INFORMATIK AN DER UNIVERSITAET KARLSRUHE
Organization address
address: HAID UND NEU STRASSE 10-14 contact info |
| Nazionalità Coordinatore | Germany [DE] |
| Totale costo | 4˙680˙826 € |
| EC contributo | 3˙333˙446 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2007-1 |
| Funding Scheme | CP |
| Anno di inizio | 2008 |
| Periodo (anno-mese-giorno) | 2008-01-01 - 2010-12-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
FORSCHUNGSZENTRUM INFORMATIK AN DER UNIVERSITAET KARLSRUHE
Organization address
address: HAID UND NEU STRASSE 10-14 contact info |
DE (KARLSRUHE) | coordinator | 0.00 |
| 2 |
ABB AG
Organization address
address: KALLSTADTER STRASSE contact info |
DE (MANNHEIM) | participant | 0.00 |
| 3 |
ERICSSON NIKOLA TESLA D.D.
Organization address
address: KRAPINSKA 45 contact info |
HR (ZAGREB) | participant | 0.00 |
| 4 |
ITEMIS GMBH
Organization address
address: BLUECHERSTRASSE 32 contact info |
DE (PFORZHEIM) | participant | 0.00 |
| 5 |
MAELARDALENS HOEGSKOLA
Organization address
address: HOGSKOLEPLAN contact info |
SE (VASTERAS) | participant | 0.00 |
| 6 |
POLITECNICO DI MILANO
Organization address
address: PIAZZA LEONARDO DA VINCI contact info |
IT (MILANO) | participant | 0.00 |
| 7 |
SOFTECO SISMAT SRL
Organization address
address: VIA DE MARINI 1 contact info |
IT (GENOVA) | participant | 0.00 |
| 8 |
UNIVERZITA KARLOVA V PRAZE
Organization address
address: Ovocny trh contact info |
CZ (PRAHA 1) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
The Q-ImPrESS project aims at bringing service orientation to critical software systems, such as industrial production control, telecommunication and critical enterprise applications. All these domains share a need for guaranteed end-to-end quality of service, but also a need to evolve over their long lifetimes. The Q-ImPrESS project targets this challenge by providing a method to allow developers, users and maintainers to foresee the impact of design decisions and evolutionary changes to the system not only on its overall quality of service, but also on its internal quality properties such as maintainability. Therefore, a new service architecture meta-model is developed which is accompanied by tool-supported model-driven quality of service prediction approaches and automated quality assessment. The 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 which guarantee practicability, sustainability and open dissemination of the results.
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