Run-time resolution of uncertainty

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Abstract

Requirements awareness should help optimize requirements satisfaction when factors that were uncertain at design time are resolved at runtime. We use the notion of claims to model assumptions that cannot be verified with confidence at design time. By monitoring claims at runtime, their veracity can be tested. If falsified, the effect of claim negation can be propagated to the system's goal model and an alternative means of goal realization selected automatically, allowing the dynamic adaptation of the system to the prevailing environmental context. © 2011 IEEE.

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  • Run-time resolution of uncertainty

    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 date2011
Publication title2011 IEEE 19th International Requirements Engineering Conference
PublisherIEEE
Pages355-356
Number of pages2
ISBN (Electronic)978-1-4577-0921-0
ISBN (Print)978-1-4577-0923-4
Original languageEnglish
Event19th IEEE International Requirements Engineering Conference - Trento, Italy

Publication series

NameIEEE conference publications
PublisherIEEE
ISSN (Print)1090-705X

Conference

Conference19th IEEE International Requirements Engineering Conference
Abbreviated titleRE 2011
CountryItaly
CityTrento
Period29/08/112/09/11

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 adaptive systems, goals, requirements models

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