Industrial evaluation of pairwise SPL testing with MoSo-PoLiTe

Autor:	Michaela Steffens, Sebastian Oster, Malte Lochau, Thomas Fogdal
Rok vydání:	2012
Předmět:	Model-based testing Computer science business.industry White-box testing Machine learning computer.software_genre Feature model Component (UML) All-pairs testing Pairwise comparison Artificial intelligence business Heuristics computer Orthogonal array testing
Zdroj:	VaMoS
DOI:	10.1145/2110147.2110154
Popis:	Testing Software Product Lines is a very challenging task due to variability. Frequently, approaches such as combinatorial testing are used to generate representative sets of products for testing purposes instead of testing each individual product of the SPL under test. In this contribution we present the results of applying the MoSo-PoLiTe framework at Danfoss Power Electronics A/S to calculate a representative set of product configurations for black box testing purposes. Within this evaluation we use MoSo-PoLiTe's pairwise configuration selection component on the basis of a feature model. This component implements a heuristics finding a minimal subset of configurations covering 100% T-wise feature interaction. According to the best of our knowledge, this is the first publication providing industrial results about pairwise SPL testing.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5bcdf4a0d7485ea2319852b40fb90692 https://doi.org/10.1145/2110147.2110154 Zobrazit plný text záznamu