The Reassessment of Preferences of Non-Functional Requirements for Better Informed Decision-making in Self-Adaptation

Luis H. Garcia Paucar, Nelly Bencomo

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Decision-making requires the quantification and trade-off of multiple non-functional requirements (NFRs) and the analysis of costs and benefits between alternative solutions. Different techniques have been used to specify utility preferences for NFRs and decision-making strategies of self-adaptive systems (SAS). These preferences are defined during design-time. It is well known that correctly identifying the weight of the NFRs is a major difficulty. In this paper we present initial results of a novel approach that provides a set of criteria to re-assess NFRs preferences given new evidence found at runtime using dynamic decision networks (DDNs). The approach use both conditional probabilities provided by DDNs and the concept of Bayesian surprise. The results show that our approach supports better informed decisions under uncertainty by identifying new situations where the current SAS preferences may need to be re-evaluated to improve the levels of satisfaction of NFRs.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 24th International Requirements Engineering Conference Workshops
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages32-38
Number of pages7
ISBN (Electronic)978-1-5090-3694-3
DOIs
Publication statusPublished - 12 Sept 2016
Event2016 IEEE 24th International Requirements Engineering Conference Workshops - Beijing, China
Duration: 12 Sept 201616 Sept 2016

Workshop

Workshop2016 IEEE 24th International Requirements Engineering Conference Workshops
Abbreviated titleREW 2016
Country/TerritoryChina
CityBeijing
Period12/09/1616/09/16

Bibliographical note

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Keywords

  • decision making
  • non-functional requirements trade-off
  • self-adaptation
  • uncertainty

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