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

May, 2015 → May, 2018

Alberto Abelló, Anas Al Bassit, Alba Cañete, Sergi Nadal, Oscar Romero, Jovan Varga

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  • Description

    The SUPERSEDE project will provide advancements in several research areas, from end-user feedback and contextual data analysis, to decision making support in software evolution and adaptation. But the major novel 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.


    Software providers have difficulties on predicting the acceptance of the services and applications they deliver. The great diversity of execution contexts, with different profiles of user, changing environmental conditions, etc., makes it difficult to personalize the software to every possible situation.

    The complexity in handling this type of systems turns out to offer new opportunities to software engineers. The feedback provided by users on these services and applications, and the large amount of data available when they are being executed, calls for innovative techniques to exploit them in order to overcome the challenges. This is the main motivation behind the SUPERSEDE project.

    Measurable objective

    Three use cases proposed by companies of different profiles will ensure the elicitation of relevant domain knowledge as well as a progressive validation of the methods and tools produced to ultimately provide evidence of potential for productivity gains.


    The three use cases of SUPERSEDE are representative of two different data-intensive application domains, namely energy consumption management in home automation and entertainment event webcasting. They address different stakeholders, including application developers, home automation platform providers, webcasting platform developers, media content designers and the end- users of software applications and services, thus providing a wide range of opportunities for project results exploitation.


    The consortium consists of 8 partners with large scientific, dissemination and exploitation expertise on the topics of the project. Balanced consortium from different perspectives: geographical (5 European countries) and profile (4 academic partners + 4 companies, 2 of them large and other 2 SMEs).