Transformation of Cardinality-based Feature Model to Common Variability Language Model

Abstract

Cardinality-Based Feature Model (CBFM) is an approach for feature modeling, which integrates several extensions of Feature Oriented Domain Analysis (FODA) Feature Model (FM), where the main function of FM is to express commonality and variability in Software Product Line (SPL). CBFM was introduced by applying cardinality concept to feature model. Beside the CBFM, there are many other approaches that included in FM genealogy. As an international standard organization, Object Management Group (OMG) gives effort on developing Common Variability Language (CVL) as a standard notation to express commonality and variability in SPL. This paper explain the development of a transformation system from CBFM to CVL Model (CVLM) using model-to-model transformation approach within Model Driven Engineering context and aim to help automation process of CBFM to CVLM transformation, that maintain semantic meaning of transformed models.