QuantUn: quantification of uncertainty for the reassessment of requirements

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Abstract

Self-adaptive systems (SASs) should be able to adapt to new environmental contexts dynamically. The uncertainty that demands this runtime self-adaptive capability makes it hard to formulate, validate and manage their requirements. QuantUn is part of our longer-term vision of requirements reflection, that is, the ability of a system to dynamically observe and reason about its own requirements. QuantUn's contribution to the achievement of this vision is the development of novel techniques to explicitly quantify uncertainty to support dynamic re-assessment of requirements and therefore improve decision-making for self-adaption. This short paper discusses the research gap we want to fill, present partial results and also the plan we propose to fill the gap.

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Publication dateNov 2015
Publication title2015 IEEE 23rd International Requirements Engineering Conference (RE), proceedings
PublisherIEEE
Pages236-240
Number of pages5
ISBN (Print)978-1-4673-6905-3
Original languageEnglish
Event23rd IEEE International Requirements Engineering Conference - Ottawa, ON, Canada

Conference

Conference23rd IEEE International Requirements Engineering Conference
Abbreviated titleRE 2015
CountryCanada
CityOttawa, ON
Period24/08/1528/08/15

    Keywords

  • Bayesian surprise, requirements assessment, requirements reflection, self-adaptation, uncertainty

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Employable Graduates; Exploitable Research

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