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Evolution, testing and configuration of variability systems intensive

José Ángel Galindo Duarte 1 
1 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : The large number of configurations that a feature model can encode makes the manual analysis of feature models an error prone and costly task. Then, computer-aided mechanisms appeared as a solution to extract useful information from feature models. This process of extracting information from feature models is known as ''Automated Analysis of Feature models'' that has been one of the main areas of research in the last years where more than thirty analysis operations have been proposed. In this dissertation we looked for different tendencies in the automated analysis field and found several research opportunities. Driven by real-world scenarios such as smart phone or videosurveillance domains, we contributed applying, adapting or extending automated analysis operations in variability intensive systems evolution, testing and configuration.
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Submitted on : Friday, August 28, 2015 - 11:17:12 AM
Last modification on : Saturday, June 25, 2022 - 7:41:42 PM
Long-term archiving on: : Sunday, November 29, 2015 - 10:25:20 AM


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  • HAL Id : tel-01187958, version 1


José Ángel Galindo Duarte. Evolution, testing and configuration of variability systems intensive. Other [cs.OH]. Université Rennes 1, 2015. English. ⟨NNT : 2015REN1S008⟩. ⟨tel-01187958⟩



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