EUREKA ITEA3 REVaMP2 Swedish Consortium
| Reference number | |
| Coordinator | Göteborgs Universitet - DATA OCH INFORMATIONSTEKNIK |
| Funding from Vinnova | SEK 12 259 300 |
| Project duration | November 2016 - January 2020 |
| Status | Completed |
| Venture | Eureka cluster co-funding |
Purpose and goal
The ITEA 3 project REVaMP² aimed to conceive, develop, and evaluate the first comprehensive automation tool-chain and associated executable process to support round-trip engineering of software-intensive product lines, and thereby helping to profitably engineer mass-customised products and services in virtually any economic sector. Together with four other countries (Germany, France, Spain, and Belgium), the Swedish consortium aimed at contributing to the project and improving the involved companies´ product-line practices, jointly developing tools and methods.
Expected results and effects
The ITEA project successfully established the REVAMP tool chain comprising methods and tools for: extraction and visualization, co-evolution, and verification. They are integrated into a tool chain with an orchestration tool, evaluated in case studies. We also conceived respective methodologies with supporting tools, such as a feature modeling process. The Swedish consortium alone published 56 papers, participated in standardizations (e.g., OASIS, INCOSE). All companies use the results, argueing that they substantially enhance engineering variant-rich systems.
Planned approach and implementation
An overarching ITEA proposal specified work packages, tasks, and deliverables, mapped partners. This structure worked well. Unforeseen issues were addressed in 4 CRs, even large ones: Spain did not receive funding, so WP8 (dissemination) needed to be led by another consortium, and Sweden took over. All partners contributed to deliverables and all collaborated with international partners with face-to-face meetings at bi-yearly plenaries, individual meetings, and conferences or workshops (e.g., SPLC´18 Gothenburg, SPLC´19 Paris), or through empirical studies.