Cetina, CarlosTrinidad Martín Arroyo, PabloPelechano, VicentRuiz Cortés, AntonioBenavides Cuevas, David Felipe2021-12-212021-12-212009Cetina, C., Trinidad Martín Arroyo, P., Pelechano, V., Ruiz Cortés, A. y Benavides Cuevas, D.F. (2009). Moskitt FM and FAMA FW: Taking feature models to the next level. En JISBD 2009 : XIV Jornadas de Ingeniería del Software y Bases de Datos (285-288), San Sebastian, España: Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES).978-84-692-4211-7https://hdl.handle.net/11441/128521Feature modeling is a key technique to model commonalities and variabilities within a Software Product Line (SPL). Tools to realise the benefits of using feature models are needed to make true the benefits promised by SPL approaches. This paper introduces the integration of MOSKitt Feature Modeller (MFM) and FaMa Framework (FaMa FW) to support feature modelling and analysis in the context of SPLs. On the one hand, MFM provides advance capabilities for feature model edition. On the other hand, FAMA FW automates their analysis. The result is an extensible tool that should help SPL developers on leveraging feature models.application/pdf4engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess