A feature model captures the stakeholder-visible aspects and characteristics of a product line. By revealing a product line’s inherent commonalities and variabilities, it acts as a key driver in the creation of core assets. Usability and usefulness, however, are important qualities for a feature model to possess in order to fulfill its role. In our opinion, these qualities can be ensured by building upon an adequate meta-model. The purpose of this article is to describe an extended meta-model for feature modeling. Meta-model elements, such as features and inter-feature relations, are presented in detail. We propose automated model analysis as the way of extracting information encapsulated in a feature model: algorithms are suggested for the identification of the commonality and variability in the modeled product line and for the automated consistency checking of products.
CITATION STYLE
Fey, D., Fajta, R., & Boros, A. (2002). Feature modeling: A meta-model to enhance usability and usefulness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2379, pp. 198–216). Springer Verlag. https://doi.org/10.1007/3-540-45652-x_13
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