2006
DOI: 10.1007/11763864_7
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Ontology-Based Feature Modeling and Application-Oriented Tailoring

Abstract: Abstract. Feature models have been widely adopted in domain requirements capturing and specifying. However, there are still difficulties remaining in domain model validating and application-oriented tailoring. These difficulties are partly due to the missing of a strictly defined feature meta-model, which makes it difficult to formally represent the feature models. Aiming at the problem, we propose an ontology-based feature modeling method supporting applicationoriented tailoring. In this method features are c… Show more

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Cited by 28 publications
(25 citation statements)
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“…The open ontology concept not connected to software engineering is presented in [5,10,11]. There are some papers focused on the application of ontologies to domain model construction [8,6,22,12] and its customization [20] dedicated to vertical OMG standards. Application of ontology for static class model inference [9] and for meta-language construction [18] are also known.…”
Section: Cdmm-p Basicsmentioning
confidence: 99%
“…The open ontology concept not connected to software engineering is presented in [5,10,11]. There are some papers focused on the application of ontologies to domain model construction [8,6,22,12] and its customization [20] dedicated to vertical OMG standards. Application of ontology for static class model inference [9] and for meta-language construction [18] are also known.…”
Section: Cdmm-p Basicsmentioning
confidence: 99%
“…The feature models may also be fine-grained Peng et al, 2006), for example defining not only fine-grained features and decomposition relations but also additional feature dependencies. Fine-grained feature models usually require more human effort to construct.…”
Section: Practical Use Of the Icfl Approachmentioning
confidence: 99%
“…Our ICFL approach is inspired by two lines of research. First, research on domain engineering (Kang et al, 1990;Zhang et al, 2006) suggests that features are not independent of each other, for example, a feature may use, extend, or refine other features; features and their interdependencies form some forms of feature models (Peng et al, 2006). Furthermore, using appropriate reverse-engineering techniques (such as She et al, 2011;Dumitru et al, 2011;Yang et al, 2009), we can construct such feature models from existing requirement documents and source code with the help of domain experts.…”
Section: Introductionmentioning
confidence: 99%
“…Czarnecki et al suggest using ontologies as views on feature models to provide semantics for potentially overlapping feature models and support querying and constraint mechanisms for these overlapping feature model parts. Peng et al [11] enriched feature models with ontologies to increase feature models' expression capacity. By converting feature models into ontology models, the authors provide a foundation for different mechanisms to validate feature models through ontology inference.…”
Section: Feature Models and Semantic Modelingmentioning
confidence: 99%