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Ali, Raian; Solis, Carlos; Omoronyia, Inah; Salehie, Mazeiar and Nuseibeh, Bashar
(2012).
URL: http://www.enase.org/?y=2012
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.
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- Item ORO ID
- 33979
- Item Type
- Conference or Workshop Item
- Project Funding Details
-
Funded Project Name Project ID Funding Body Not Set 10/CE/I1855 Science Foundation Ireland Seventh Framework Programme /(FastFix) FP7/2007-2013 European Union (FP7/2007-2013) under grants no 258109 (FastFix) - Keywords
- requirements engineering; requirements-driven adaptation; social adaptation
- Academic Unit or 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)
- Copyright Holders
- © SciTePress
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- Depositing User
- Danielle Lilly