Nowadays, software companies develop and maintain their software for several clients. Consequently, these applications have to be integrated in heterogenous context and adapt to the user requriements. All these products are sharing commonalities but also differ in certain point due to business specific constraints. Configurable systems facilitate the creation of these product families. With them it is possible to create a software product by selecting the features that will be integrated, thus, the creation of a product is greatly simplified. However, the validation of these systems is a complex task. A configurable system can generate millions of possible configurations. Thus, validation process doesn't consist in validating a single product but in validating a set of products. This large number of configurations is a problem for those responsible of the validation. In this thesis we propose three contributions that aim to solve issues raised by variability during test projects : A detailled presentation of two industrial test projects coping tat variaibility issues; an original methodology based on constraint programming techniques to select test configurations that respect pairwise criteria from a feature model ; an exhaustive comparison of this approach with the existing approches and a detailled study of the application of a such techniques on the two industrials projects.
