Using problem descriptions to represent variabilities for context-aware applications

Salifu, Mohammed; Nuseibeh, Bashar; Rapanotti, Lucia and Tun, Thein Than (2007). Using problem descriptions to represent variabilities for context-aware applications. In: Proceedings of 1st International workshop on Variability Modeling of Software-intensive Systems (VaMoS 2007), 16-18 Jan 2007, Limerick, Ireland, pp. 149–156.

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Abstract

This paper investigates the potential use of problem descriptions to represent and analyse variability in context-aware software products. By context-aware, we refer to recognition of changes in properties of external domains, which are recognised as affecting the behaviour of products. There are many reasons for changes in the operating environment, from fluctuating resources upon which the product relies, to different operating locations or the presence of objects. There is an increasing expectation for software intensivedevices to be context-aware which, in turn, adds further variability to problem description and analysis. However, we argue in this paper that the capture of contextual variability on current variability representations and analyses has yet to be explored. We illustrate the representation of this type of variability in a pilot study, and conclude with lessons learnt and an agenda for further work.

Item Type:

Conference or Workshop Item

Not known

Project Funding Details:

Funded Project Name	Project ID	Funding Body
Not Set	Not Set	EPSRC (Engineering and Physical Sciences Research Council)

Extra Information:

LERO (The Irish Software Engineering Research Centre),Lero Technical Report 2007-01; Klaus Pohl, Patrick Heymans, Kyo-Chul Kang, Andreas Metzger (eds.)

Keywords:

Contextual variability; context-awareness; problem variants; solution variants; product-families

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)

Item ID:

15298

Depositing User:

Thein Tun

Date Deposited:

09 Mar 2009 17:27

Last Modified:

18 Sep 2018 10:17

URI:

http://oro.open.ac.uk/id/eprint/15298

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