DocumentCode :
2487388
Title :
Leveraging variability modeling for multi-dimensional Model-driven Software Product Lines
Author :
Filho, João Bosco Ferreira ; Barais, Olivier ; Baudry, Benoit ; Noir, Jérome Le
Author_Institution :
INRIA, Univ. Rennes 1, Rennes, France
fYear :
2012
fDate :
4-4 June 2012
Firstpage :
5
Lastpage :
8
Abstract :
In order to be adopted in industrial cases, the Software Product Line paradigm must be adapted to the specific organizational context and culture. In this paper, we consider a scenario of a multinational company that would benefit from SPL. This company uses a model-based software and system development process, which allows them to build reliable and consistent systems for the defence, security, aerospace and transportation domain. Initial efforts to adopt SPL in their software production proved successful. However, they still need to leverage variability modeling to the software and system level, integrating it to their existing model-based development. Therefore, this work aims at (i) presenting an industrial scenario and identifying the main challenges to leverage variability modeling for it, (ii) outlining our point of view and perspectives on how these challenges can be addressed, and (iii) discussing the suitability of current variability modeling approaches.
Keywords :
product development; software reliability; software reusability; SPL; aerospace domain; defence domain; industrial cases, the; leverage variability modeling; model-based software; multidimensional model-driven software product lines; multinational company; organizational context; organizational culture; security domain; software level; system development process; system level; transportation domain; Companies; Computer architecture; Context; Security; Semantics; Software; Systematics; model-driven engineering; variability modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Product Line Approaches in Software Engineering (PLEASE), 2012 3rd International Workshop on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1750-4
Type :
conf
DOI :
10.1109/PLEASE.2012.6229774
Filename :
6229774
Link To Document :
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