Modeling Variability in the Video Domain: Language and Experience Report

Mauricio Alférez 1, * José Angel Galindo Duarte 1, * Mathieu Acher 1 Benoit Baudry 1
* Corresponding author
1 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : This paper reports about a new domain-specific variability modeling language, called VM, resulting from the close collaboration with industrial partners in the video domain. We expose the requirements and advanced variability constructs required to characterize and realize variations of physical properties of a video (such as objects' speed or scene illumination). The results of our experiments and industrial experience show that VM is effective to model complex variability information and can be exploited to synthesize video variants. We concluded that basic variability mechanisms are useful but not enough, attributes and multi-features are of prior importance, and meta-information is relevant for efficient variability analysis. In addition, we questioned the existence of one-size-fits-all variability modeling solution applicable in any industry. Yet, some common needs for modeling variability are becoming apparent such as support for attributes and multi-features.
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https://hal.inria.fr/hal-01023159
Contributor : Mauricio Alférez <>
Submitted on : Thursday, September 11, 2014 - 5:35:41 PM
Last modification on : Thursday, November 15, 2018 - 11:58:48 AM
Long-term archiving on : Friday, December 12, 2014 - 10:56:23 AM

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Mauricio Alférez, José Angel Galindo Duarte, Mathieu Acher, Benoit Baudry. Modeling Variability in the Video Domain: Language and Experience Report. [Research Report] RR-8576, INRIA. 2014. ⟨hal-01023159v2⟩

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