RE-PREF : support for REassessment of PREFerences of non-functional requirements for better decision-making in self-adaptive systems

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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.

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Details

Publication date2 Dec 2016
Publication titleProceedings - 2016 IEEE 24th International Requirements Engineering Conference
PublisherIEEE
Pages411-414
Number of pages4
ISBN (Electronic)978-1-5090-4121-3
Original languageEnglish
Event24th IEEE International Requirements Engineering Conference - Beijing, China

Publication series

Name
ISSN (Electronic)2332-6441

Conference

Conference24th IEEE International Requirements Engineering Conference
Abbreviated titleRE 2016
CountryChina
CityBeijing
Period12/09/1616/09/16

Bibliographic note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Keywords

  • decision making, non-functional requirements trade-off, Self-adaptation, uncertainty

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