Ali, Raian; Solis, Carlos; Omoronyia, Inah; Salehie, Mazeiar and Nuseibeh, Bashar
(2012).
![[img]](http://oro.open.ac.uk/style/images/fileicons/application_pdf.png)
|
PDF (Version of Record)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (319kB) |
| URL: | http://www.enase.org/?y=2012 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
Adaptive systems are characterized by the ability to monitor changes in their volatile world and react to monitored changes when needed. The ultimate goal of adaptation is that users’ requirements are always met correctly and efficiently. Adaptation is traditionally driven by the changing state of the system internal and its surrounding environment. Such state should be monitored and analyzed to decide upon a suitable alternative behaviour to adopt. In this paper, we introduce another driver for adaptation which is the users’ collective judgement on the alternative behaviors of a system. This judgmenet should be infered from the individual users’ feedback given iteratviely during the lifetime of a system. Users’ feedback reflects their main interest which is the validity and the quality of a system behaviour as a means to meet their requirements. We propose social adaptation which is a specific kind of adaptation that treats users’ feedback, obtained during the software lifetime, as a primary driver in planning and guiding adaptation. We propose a novel requirements engineering modelling and analysis approach meant for systems adopting social adaptation. We evaluate our approach by applying it in practice and report on the results.
| Item Type: | Conference or Workshop Item | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Copyright Holders: | SciTePress | |||||||||
| Project Funding Details: |
|
|||||||||
| Keywords: | requirements engineering; requirements-driven adaptation; social adaptation | |||||||||
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
|||||||||
| Research Group: | Centre for Research in Computing (CRC) | |||||||||
| Related URLs: | ||||||||||
| Item ID: | 33979 | |||||||||
| Depositing User: | Danielle Lilly | |||||||||
| Date Deposited: | 11 Jul 2012 11:26 | |||||||||
| Last Modified: | 07 Dec 2018 18:55 | |||||||||
| URI: | http://oro.open.ac.uk/id/eprint/33979 | |||||||||
| Share this page: |     |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)