Changes between Version 52 and Version 53 of WikiStart

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02/26/11 12:00:43 (7 years ago)
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    5555[http://www.i3s.unice.fr/%7Eacher Mathieu Acher], [http://www.i3s.unice.fr/%7Ecollet Philippe Collet], [http://www.i3s.unice.fr/%7Elahire Philippe Lahire], [http://www-sop.inria.fr/pulsar/personnel/Sabine.Moisan/ Sabine Moisan], and [http://users.polytech.unice.fr/~jpr Jean-Paul Rigault]. '''Modeling Variability from Requirements to Runtime'''  
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    57 In ''Proceedings of 16th International Conference on Engineering of Complex Computer Systems (ICECCS)'' AR=31%, IEEE Computer Society, April 2011. [[http://www.i3s.unice.fr/~acher/acher_bib.html#acher-collet-etal:2011b bib]] 
     57In ''Proceedings of 16th International Conference on Engineering of Complex Computer Systems (ICECCS)'' AR=31%, IEEE Computer Society, April 2011. [[http://www.i3s.unice.fr/~acher/acher_bib.html#acher-collet-etal:2011b bib]] [[https://nyx.unice.fr/publis/acher-collet-etal:2011b.pdf pdf]] 
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    5959  In software product line (SPL) engineering, a software configuration can be obtained through a valid selection of features represented in a feature model (FM). With a strong separation between requirements and reusable components and a deep impact of high level choices on technical parts, determining and configuring an well-adapted software configuration is a long, cumbersome and error-prone activity. This paper presents a modeling process in which variability sources are separated in different FMs and inter-related by propositional constraints while consistency checking and propagation of variability choices are automated. We show how the variability requirements can be expressed and then refined at design time so that the set of valid software configurations to be considered at runtime may be highly reduced. Software tools support the approach and some experimentations on a video surveillance SPL are also reported.