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SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback

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).

Field of science

  • /social sciences/economics and business/economics/production economics/productivity
  • /natural sciences/computer and information sciences/data science/data analysis
  • /natural sciences/computer and information sciences/software
  • /engineering and technology/civil engineering/urban engineering/smart city

Call for proposal

H2020-ICT-2014-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

FONDAZIONE BRUNO KESSLER
Address
Via Santa Croce 77
38122 Trento
Italy
Activity type
Research Organisations
EU contribution
€ 643 000

Participants (7)

UNIVERSITAT POLITECNICA DE CATALUNYA
Spain
EU contribution
€ 659 633,21
Address
Calle Jordi Girona 31
08034 Barcelona
Activity type
Higher or Secondary Education Establishments
UNIVERSITAT ZURICH
Switzerland
EU contribution
€ 0
Address
Ramistrasse 71
8006 Zurich
Activity type
Higher or Secondary Education Establishments
SIEMENS AKTIENGESELLSCHAFT OESTERREICH
Austria
EU contribution
€ 664 675
Address
Siemensstrasse 90
1210 Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ATOS SPAIN SA
Spain
EU contribution
€ 502 375
Address
Calle De Albarracin 25
28037 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SEnerCon GmbH
Germany
EU contribution
€ 340 991,79
Address
Hochkirchstrasse 11
10829 Berlin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
DELTA INFORMATICA SPA
Italy
EU contribution
€ 436 000
Address
Localita Palazzine Gardolo 120 F
38121 Trento
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
FACHHOCHSCHULE NORDWESTSCHWEIZ
Switzerland
EU contribution
€ 0
Address
Bahnhofstrasse 6
5210 Windisch
Activity type
Higher or Secondary Education Establishments