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2016 IEEE 24th International Requirements Engineering Conference (RE) (2016)
Beijing, China
Sept. 12, 2016 to Sept. 16, 2016
ISSN: 2332-6441
ISBN: 978-1-5090-4121-3
pp: 411-414
ABSTRACT
Modelling and reasoning with prioritization of non-functional requirements (NFRs) is a research field that needs more attention. We demonstrate RE-PREF, an approach that supports the modelling of NFRs and their preferences, and discovery of possible scenarios where badly chosen preferences can either make the runtime system miss or suggest unnecessary adaptations that may degrade the behavior of a self-adaptive system (SAS). Specifically, we showcase how RE-PREF is used in a remote data mirroring (RDM) system. The model of NFRs and the analysis of their preferences are enabled by using dynamic decision network (DDNs) and Bayesian Surprise.
INDEX TERMS
Decision making, Runtime, Computational modeling, Adaptation models, Bayes methods, Network topology, Topology,uncertainty, Self-adaptation, decision making, non-functional requirements trade-off
CITATION
Luis H. Garcia Paucar, Nelly Bencomo, "RE-PREF: Support for REassessment of PREFerences of Non-functional Requirements for Better Decision-Making in Self-Adaptive Systems", 2016 IEEE 24th International Requirements Engineering Conference (RE), vol. 00, no. , pp. 411-414, 2016, doi:10.1109/RE.2016.29
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