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Feature diagram formalization based on directed hypergraphs
Author(s) -
Miguel Á. Laguna,
José Marqués,
Guillermo Rodríguez-Cano
Publication year - 2011
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis100804016l
Subject(s) - computer science , hypergraph , feature (linguistics) , theoretical computer science , feature selection , feature model , syntax , graph , set (abstract data type) , data mining , diagram , algorithm , artificial intelligence , software , programming language , mathematics , discrete mathematics , database , philosophy , linguistics
Feature models are used to represent the variability and commonality of software product lines (SPL), and to decide on the configuration of specific applications. Several variants based on tree or graph hierarchical structures have been proposed. These structures are completed with additional constraints, generally expressed in parallel with the feature diagram. This paper proposes the use of hypergraphs to integrate both concepts in a unique characterization. Therefore, the definition, validation and selection of feature configurations can be internally based on the hypergraph properties and well-known algorithms, while the concrete visual syntax remains unchanged for domain engineers. The implemented hypergraph algorithms have been tested using a complete set of feature diagrams. Finally a feature meta-model can be derived directly from the formal definitions, providing the foundations for building feature modeling tools.

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