Identifying dead features and their causes in product line models: an ontological approach

Gloria-Lucia Giraldo-Gómez (1) , Luisa Rincón-Perez (2) , Raúl Mazo (3)

1 Universidad Nacional de Colombia (COLOMBIA)
2 Department of Science and Engineering Computing
3 CRI - Centre de Recherche en Informatique de Paris 1

Feature Models (FMs) are a notation to represent differences and commonalities between products derived from a product line. However, product line modelers could unintentionally incorporate dead features in FMs. A dead feature is a type of defect, which implies that one or more features are not present in any product of the product line. Some authors have used ontologies in product lines, but they have not exploited ontology reasoning to identify and explain causes for defects in FMs in natural language. In this paper, we propose an ontology that represents FMs in OWL (Web Ontology Language). Then, we use SQWRL (Semantic Query-enhanced Web Rule Language) to identify dead features in a FM and identify and explain certain causes of this defect in natural language. Our preliminary empirical evaluation confirms the benefits of our approach.

Keywords: Product lines; feature models; ontologies; dead features; SQWRL

Domains: Computer Science [cs]; Software Engineering [cs.SE]

Gloria-Lucia Giraldo-Gómez, Luisa Rincón-Perez, Raúl Mazo. Identifying dead features and their causes in product line models: an ontological approach. DYNA, 2014, 81 (183), pp.68 - 77. ⟨hal-01071250⟩