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Modelling adaptability and variability in requirements

Abstract

The requirements and design level identification and representation of dynamic variability for adaptive systems is a challenging task. This requires time and effort to identify and model the relevant elements as well as the need to consider the large number of potentially possible system configurations. Typically, each individual variability dimension needs to identified and modelled by enumerating each possible alternative. The full set of requirements needs to be reviewed to extract all potential variability dimensions. Moreover, each possible configuration of an adaptive system needs to be validated before use. In this demonstration, we present a tool suite that is able to manage dynamic variability in adaptive systems and tame such system complexity. This tool suite is able to automatically identify dynamic variability attributes such as variability dimensions, context, adaptation rules, and soft/hard goals from requirements documents. It also supports modelling of these artefacts as well as their run-time verification and validation.

Category

Academic chapter/article/Conference paper

Language

English

Author(s)

  • Phil Greenwood
  • Ruzanna Chitchyan
  • Awais Rashid
  • Joost Noppen
  • Franck Fleurey
  • Arnor Solberg

Affiliation

  • Lancaster University
  • University of East Anglia
  • SINTEF Digital / Sustainable Communication Technologies

Year

2011

Publisher

IEEE conference proceedings

Book

19th IEEE International Requirements Engineering Conference (RE), 2011 : Trento, Aug. 29 2011-Sept. 2 2011

ISBN

978-1-4577-0921-0

Page(s)

343 - 344

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