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.
|Title of host publication||Proceedings - 2016 IEEE 24th International Requirements Engineering Conference|
|Number of pages||4|
|Publication status||Published - 2 Dec 2016|
|Event||24th IEEE International Requirements Engineering Conference - Beijing, China|
Duration: 12 Sep 2016 → 16 Sep 2016
|Conference||24th IEEE International Requirements Engineering Conference|
|Abbreviated title||RE 2016|
|Period||12/09/16 → 16/09/16|
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- decision making
- non-functional requirements trade-off