Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications

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Abstract

Dynamic decision-making for self-Adaptive systems (SAS) requires the runtime trade-off of multiple non-functional requirements (NFRs) -Aka quality properties-And the costsbenefits analysis of the alternative solutions. Usually, it requires the specification of utility preferences for NFRs and decisionmaking strategies. Traditionally, these preferences have been defined at design-Time. In this paper we develop further our ideas on re-Assessment of NFRs preferences given new evidence found at runtime and using dynamic decision networks (DDNs) as the runtime abstractions. Our approach use conditional probabilities provided by DDNs, the concepts of Bayesian surprise and Primitive Cognitive Network Process (P-CNP), for the determination of the initial preferences. Specifically, we present a case study in the domain problem of ambient assisted living (AAL). Based on the collection of runtime evidence, our approach allows the identification of unknown situations at the design stage.

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  • Runtime models based on dynamic decision networks

    Rights statement: Pauca, LHG & Bencomo, N : Runtime models based on dynamic decision networks: enhancing the decision-making in the domain of ambient assisted living applications. Proc. of the 11th International Workshop on Models@run.time, co-located with the 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016), Saint Malo, France, 4 October, ceur-ws.org/Vol-1742/MRT16_paper_12.pdf

    Final published version, 657 KB, PDF-document

Details

Publication date23 Nov 2016
Publication titleMRT 2016 - Models@run.time : Proceedings of the 11th International Workshop on Models@run.time, co-located with 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS 2016)
EditorsSebastian Götz, Nelly Bencomo, Kirstie Bellman, Gordon Blair
PublisherCEUR-WS.org
Pages9-17
Number of pages9
Original languageEnglish
Event11th international workshop on Models@run.time / 19th International Conference on Model Driven Engineering Languages and Systems - San Malo, France

Publication series

NameCEUR workshop proceedings
Volume1742
ISSN (Print)1613-0073

Conference

Conference11th international workshop on Models@run.time / 19th International Conference on Model Driven Engineering Languages and Systems
Abbreviated titleMRT 2016 / MoDELS 2016
CountryFrance
CitySan Malo
Period3/10/16 → …

Bibliographic note

Pauca, LHG //

Keywords

  • AHP, decision making, non-functional requirements trade-off, P-CNP, self-adaptation, uncertainty information hypothesis

Research outputs

Employable Graduates; Exploitable Research

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