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

Total activity: 9
Type of activity
Competitive project
Acronym
SUPERSEDE
Funding entity
Commission of European Communities
Funding entity code
H2020-644018-SUPERSEDE
Amount
289.265,75 €
Start date
2015-05-01
End date
2018-04-30
URL
http://cordis.europa.eu/project/rcn/194133_en.html Open in new window
http://cordis.europa.eu/projects/644018 Open in new window
Abstract
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).
Scope
Europa
Plan
HORIZON 2020 (2014-2020)
Call year
2014
Funcding program
Pilar Lideratge Industrial
Funding subprogram
Lideratge en tecnologies facilitadores industrials (LEITS)
Funding call
ICT - Information and Communication Technologies
Grant institution
European Commission

Participants

Scientific and technological production

1 to 9 of 9 results
 
  • A situational approach for the definition and tailoring of a data-driven software evolution method  Open access

     Franch, X.; Ralyté, J.; Perini, A.; Abello, A.; Ameller, D.; Gorroñogoitia, J.; Nadal, S.; Oriol, M.; Seyff, N.; Siena, A.; Susi, A.
    International Conference on Advanced Information Systems Engineering
    p. 603-618
    DOI: 10.1007/978-3-319-91563-0_37
    Presentation's date: 2018-06-11
    Presentation of work at congresses
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  • MDM: governing evolution in big data ecosystems  Open access

     Nadal, S.; Abello, A.; Romero, O.; Vansummeren, S.; Vassiliadis , P.
    International Conference on Extending Database Technology
    p. 682-685
    DOI: 10.5441/002/edbt.2018.84
    Presentation's date: 2018-03-26
    Presentation of work at congresses
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  • A software reference architecture for semantic-aware big data systems  Open access

     Nadal, S.; Herrero, V.; Romero, O.; Abello, A.; Franch, X.; Vansummeren, S.; Valerio, D.
    Information and software technology
    Vol. 90, p. 75-92
    DOI: 10.1016/j.infsof.2017.06.001
    Date of publication: 2017-10
    Journal article
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  • An integration-oriented ontology to govern evolution in big data ecosystems  Open access

     Nadal, S.; Romero, O.; Abello, A.; Vassiliadis , P.; Vansummeren, S.
    International Workshop On Design, Optimization, Languages and Analytical Processing of Big Data
    p. 1-10
    Presentation's date: 2017-03-21
    Presentation of work at congresses
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  • Big data management challenges in SUPERSEDE  Open access

     Nadal, S.; Abello, A.; Romero, O.; Varga, J.
    International Workshop on Big Data Management in European Projects
    p. 1
    Presentation's date: 2017-03-21
    Presentation of work at congresses
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  • State of the practice on software release planning  Open access

     Farré, C.; Franch, X.; Ionescu, T.
    Workshop on Requirements Prioritisation and Enactment
    p. 1-5
    Presentation's date: 2017-02-27
    Presentation of work at congresses
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  • Replan: a release planning tool  Open access

     Ameller, D.; Farré, C.; Franch, X.; Cassarino, A.; Valerio, D.; Elvassore, V.
    IEEE International Conference on Software Analysis, Evolution, and Reengineering
    p. 516-520
    DOI: 10.1109/SANER.2017.7884665
    Presentation's date: 2017-02-22
    Presentation of work at congresses
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  • Towards continuous software release planning  Open access

     Ameller, D.; Farré, C.; Franch, X.; Valerio, D.; Cassarino, A.
    IEEE International Conference on Software Analysis, Evolution, and Reengineering
    p. 402-406
    DOI: 10.1109/SANER.2017.7884642
    Presentation's date: 2017-02-22
    Presentation of work at congresses
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  • A survey on software release planning models  Open access

     Ameller, D.; Farré, C.; Franch, X.; Rufian, G.
    International Conference on Product-Focused Software Process Improvement
    p. 48-65
    DOI: 10.1007/978-3-319-49094-6_4
    Presentation's date: 2016-11-23
    Presentation of work at congresses
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