Modeling and analyzing variability for mobile information systems

This source preferred by Raian Ali

Authors: Ali, R., Dalpiaz, F. and Giorgini, P.

http://eprints.bournemouth.ac.uk/19942/

http://www.springerlink.com/content/wl3047352566h240/

Start date: 30 June 2008

Publisher: Springer

ISBN: 9783540698388

DOI: 10.1007/978-3-540-69848-7_24

This data was imported from DBLP:

Authors: Ali, R., Dalpiaz, F. and Giorgini, P.

Editors: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y. and Gavrilova, M.L.

http://eprints.bournemouth.ac.uk/19942/

http://www.informatik.uni-trier.de/~ley/db/conf/iccsa/iccsa2008-2.html

Journal: ICCSA (2)

Volume: 5073

Pages: 291-306

Publisher: Springer

ISBN: 978-3-540-69840-1

DOI: 10.1007/978-3-540-69848-7_24

This data was imported from Scopus:

Authors: Ali, R., Dalpiaz, F. and Giorgini, P.

http://eprints.bournemouth.ac.uk/19942/

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 5073 LNCS

Issue: PART 2

Pages: 291-306

eISSN: 1611-3349

ISSN: 0302-9743

DOI: 10.1007/978-3-540-69848-7_24

Advances in size, power, and ubiquity of computing, sensors, and communication technology made possible the development of mobile or nomadic information systems. Variability of location and system behavior is a central issue in mobile information systems, where behavior of software has to change and re-adapt to the different location settings. This paper concerns modeling and analysis of the complementary relation between software and location variability. We use graphical and formal location modeling techniques, show how to elicit and use location model in conjunction with Tropos goal-oriented framework, and introduce automated analysis on the location-based models. © 2008 Springer-Verlag Berlin Heidelberg.

The data on this page was last updated at 04:46 on November 24, 2017.