Modelling adaptability and variability in requirements

Greenwood, Phil and Chitchyan, Ruzanna and Rashid, Awais and Noppen, Joost and Fleurey, Franck and Solberg, Arnor (2011) Modelling adaptability and variability in requirements. In: 19th IEEE International Requirements Engineering Conference, RE 2011. IEEE, pp. 343-344. ISBN 9781457709210

Full text not available from this repository.

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.

Item Type: Contribution in Book/Report/Proceedings
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 72553
Deposited By: ep_importer_pure
Deposited On: 22 Jan 2015 10:16
Refereed?: Yes
Published?: Published
Last Modified: 01 Jan 2020 05:49
URI: https://eprints.lancs.ac.uk/id/eprint/72553

Actions (login required)

View Item View Item