Ponencia
Moskitt FM and FAMA FW: Taking feature models to the next level
Autor/es | Cetina, Carlos
Trinidad Martín Arroyo, Pablo Pelechano, Vicent Ruiz Cortés, Antonio Benavides Cuevas, David Felipe |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2009 |
Fecha de depósito | 2021-12-21 |
Publicado en |
|
ISBN/ISSN | 978-84-692-4211-7 |
Resumen | Feature 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 ... Feature 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. |
Cita | Cetina, 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). |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
actas-jisbd-2009.pdf | 10.70Mb | [PDF] | Ver/ | |