A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Feature models are commonly used to represent product lines and systems with a set of features interrelated each others. Test generation from feature models, i.e. generating a valid and representative subset of all the possible product configurations, is still an open challenge. A common approach is to build combinatorial interaction test suites, for instance achieving pairwise coverage among the features. In this paper we show how standard feature models can be translated to combinatorialdoi:10.1109/icstw.2013.45 dblp:conf/icst/CalvagnaGV13a fatcat:xwrjnbiq7jebjiufxdzzlq3l6i