Run-time model evaluation for requirements model-driven self-adaptation

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Abstract

A self-adaptive system adjusts its configuration to tolerate changes in its operating environment. To date, requirements modeling methodologies for self-adaptive systems have necessitated analysis of all potential system configurations, and the circumstances under which each is to be adopted. We argue that, by explicitly capturing and modelling uncertainty in the operating environment, and by verifying and analysing this model at runtime, it is possible for a system to adapt to tolerate some conditions that were not fully considered at design time. We showcase in this paper our tools and research results. © 2012 IEEE.

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  • Run-time model evaluation for requirements model-driven self-adaptation

    Rights statement: © 2012 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.

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Details

Publication date1 Jan 2012
Publication title2012 20th IEEE International Requirements Engineering Conference (RE) : proceedings
PublisherIEEE
Pages329-330
Number of pages2
ISBN (Print)978-1-4673-2785-5
Original languageEnglish
Event20th IEEE international requirements engineering conference - Chicago, IL, United States

Publication series

NameIEEE conference publications
PublisherIEEE
ISSN (Print)1090-750X

Conference

Conference20th IEEE international requirements engineering conference
Abbreviated titleRE 2012
CountryUnited States
CityChicago, IL
Period24/09/1228/09/12

Bibliographic note

© 2012 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

  • self-adaptation, self-adaptive, model-driven, run-time requirements

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