The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Testing variability intensive systems is a formidable task due to the combinatorial explosion of feature interactions that result from all variations. We developed and validated an approach of combinatorial test generation using Multi-Perspective Feature Models (MPFM). MPFMs are a set of feature models created to achieve Separation of Concerns within the model. This approach improves test coverage...
Testing product lines and similar software involves the important task of testing feature interactions. The challenge is to test all those feature interactions that result in testing of all variations across all dimensions of variation. In this context, we propose the use of combinatorial test generation, with Multi-Perspective Feature Models (MPFM) as the input model. MPFMs are a set of feature models...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.