An Ontology-Based Product Architecture Derivation Approach
Article
-
- Overview
-
- Research
-
- Identity
-
- Additional Document Info
-
- View All
-
Overview
abstract
-
Software product line (SPL) engineering has proven to improve software quality and shorten development cycles, cost and time. In product line engineering, product derivation is concerned with the realization of the variability at the implementation level. However, the majority of research works focuses on instantiating the variants selected in the final product, while the derivation at the architecture level has been poorly explored. As product line engineers often customize the product architecture by hand during the application engineering phase, the derivation and customization processes of the product line architecture (PLA) might be in some cases error-prone. Consequently, in this research we present an Ontology-based product Architecture Derivation (OntoAD) framework which automates the derivation of product-specific architectures from an SPL architecture. Our solution uses a language-independent model to specify the product line architecture and a model-driven engineering approach for architecture derivation activities. We use an ontology formalism to reason about the automatic generation of model-to-model transformation rules based on the selection of features and we illustrate our approach using a voice over IP motivating example. Finally, we report results about scalability and performance regarding the size of the variability model. © 2015 IEEE.
publication date
published in
Research
keywords
-
architecture derivation; feature models; model-driven engineering; ontologies; product derivation; scalability; software architecture; Software product lines Computer software; Computer software selection and evaluation; Internet telephony; Network architecture; Ontology; Scalability; Software architecture; Software design; Voice/data communication systems; Feature models; Model to model transformation; Model-driven Engineering; Product derivation; Product line architecture; Product line engineering; Scalability and performance; Software Product Line; Cost engineering
Identity
Digital Object Identifier (DOI)
Additional Document Info
start page
end page
volume
issue