Big Data Management Challenges in SUPERSEDE
@inproceedings{Nadal2017BigDM, title={Big Data Management Challenges in SUPERSEDE}, author={Sergi Nadal and A. Abell{\'o} and Oscar Romero and Jovan Varga}, booktitle={EDBT/ICDT Workshops}, year={2017} }
The H2020 SUPERSEDE (www.supersede.eu) project aims to support decision-making in the evolution and adaptation of software services and applications by exploiting end-user feedback and runtime data, with the overall goal of improving the end-users quality of experience (QoE). Such QoE is defined as the overall performance of a system from the point of view of users, which must consider both feedback and runtime data gathered. End-user’s feedback is extracted from online forums, app stores…
2 Citations
Supporting Rapid Product Changes through Emotional Tracking
- Computer Science2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software Engineering (SEmotion)
- 2019
This paper proposes a plan for the technical and organizational process of emotional tracking on the user's device and the backend and an experiment setup to link muscular positions to emotions, to preserve user privacy.
Establishing Continuous App Improvement by Considering Heterogenous Data Sources
- Computer ScienceInternational Journal of Interactive Mobile Technologies (iJIM)
- 2021
The aim of UES is to allow product managers to be able to be always up to date with the latest feedback data, and an extensible architecture aimed at supporting different data sources is created and the feedback collection scheduling system is presented.
References
SHOWING 1-3 OF 3 REFERENCES
LabBook: Metadata-driven social collaborative data analysis
- Computer Science2015 IEEE International Conference on Big Data (Big Data)
- 2015
The key insight is to collect and use more metadata about all elements of the analytic ecosystem by means of an architecture and user experience that reduce the cost of contributing such metadata.
Big Data: Principles and best practices of scalable realtime data systems
- Computer Science
- 2015
Big Data describes a scalable, easy to understand approach to big data systems that can be built and run by a small team that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
Linked Data - The Story So Far
- Computer Science, Political ScienceInt. J. Semantic Web Inf. Syst.
- 2009
The authors describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked data community as it moves forward.