Objective
The number of available software applications in the form of web services, mobile apps, etc., is dramatically increasing over the years. This software exploits data collected through various sensors, and online data sources. Its users can access it through a variety of devices, mostly based on mobile technology.
Software providers can hardly predict the acceptance of the applications they deliver. The great diversity in execution contexts and user preferences makes it difficult to personalize the software to fit all users’ needs. The complexity of those systems and the data involved turn out to be a solution to the problem and offer new opportunities for software engineers
The SUPERSEDE project proposes a feedback-driven approach for software life cycle management, with the ultimate purpose of improving users’ quality of experience. Decisions on software evolution and runtime adaptation will be made upon analysis of end-user feedback and large amount of data monitored from the context. An integrated platform will articulate the methods and tools produced in the project.
The project will provide advancements in several research areas however, the major contribution will be in integrating methods and tools from the mentioned areas, thus providing a new solution framework for software evolution and adaptation for data-intensive applications
Three use cases have been identified to provide a solution, which is based on the needs of different companies. They are representative for different data-intensive application domains (i.e. energy consumption, sport event webcasting). This diversity also allows a validation of the methods and tools produced to ultimately provide evidence of potential for productivity gains.
CONSORTIUM: 8 partners with large scientific, dissemination and exploitation expertise on the topics of the project. Balanced consortium from different perspectives: geographical (5 countries) and profile (4 academic partners + 4 companies, 2 large and 2 SMEs).
Fields of science
- natural sciencescomputer and information sciencesdata science
- engineering and technologycivil engineeringurban engineeringsmart cities
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencessoftwaresoftware applications
Programme(s)
Funding Scheme
RIA - Research and Innovation action
Coordinator
38122 Trento
Italy
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Participants (8)
08034 Barcelona
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8006 Zurich
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1210 Wien
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28037 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28760 Tres Cantos Madrid
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10829 Berlin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
38121 Trento
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5210 Windisch
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