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Carlos A. Garcia-Rios

dblp:173/0159 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
model-driven engineering
0.212015
An Ontology-Based Product Architecture Derivation Approach · IEEE Trans. Software Eng. 2015
Requirements engineering and software design › model-driven engineering
model transformation
0.212015
An Ontology-Based Product Architecture Derivation Approach · IEEE Trans. Software Eng. 2015
Requirements engineering and software design › software architecture › reusable architecture
product line architecture
0.212015
An Ontology-Based Product Architecture Derivation Approach · IEEE Trans. Software Eng. 2015
Requirements engineering and software design
software architecture
0.212015
An Ontology-Based Product Architecture Derivation Approach · IEEE Trans. Software Eng. 2015

Methods — techniques the papers use, named apart from their topics

ontology reasoning · 0.2model-to-model transformation · 0.2
YearPublicationVenuePosition
2015 An Ontology-Based Product Architecture Derivation Approach
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.
Hector A. Duran-Limon, Carlos A. Garcia-Rios, Francisco Edgar Castillo-Barrera, Rafael Capilla
IEEE Trans. Software Eng.2