Automated staged configuration with semantic web technologies

Marko Boškovi; Ebrahim Bagheri; Dragan GaŠevi; Bardia Mohabbati; Nima Kaviani; Marek Hatala

doi:10.1142/S0218194010004827

Automated staged configuration with semantic web technologies

Marko Boškovi, Ebrahim Bagheri, Dragan GaŠevi, Bardia Mohabbati, Nima Kaviani, Marek Hatala

Research output: Contribution to journal › Article › Research › peer-review

16 Citations (Scopus)

Abstract

Since the introduction in the early nineties, feature models receive a great deal of attention in industry and academia. Industrial success stories in applying feature models for modeling software product lines, and using them for configuring software-intensive systems motivate academia to discover ways to integrate different feature dependencies into the feature model, and automate verified feature configuration. In this paper we demonstrate how ontologies and Semantic Web technologies facilitate seamless integration of required external services and deployment platform capabilities into the feature model. Furthermore, we also contribute with an algorithm for automating staged configuration using Semantic Web reasoners to discover unfeasible features of the feature model.

Original language	English
Pages (from-to)	459-484
Number of pages	26
Journal	International Journal of Software Engineering and Knowledge Engineering
Volume	20
Issue number	4
DOIs	https://doi.org/10.1142/S0218194010004827
Publication status	Published - Jun 2010
Externally published	Yes

Keywords

feature modeling
Ontologies
semantic web
software product lines engineering

Access to Document

10.1142/S0218194010004827

Cite this

@article{d90fa888cf0f4b06b3c42c1231798293,

title = "Automated staged configuration with semantic web technologies",

abstract = "Since the introduction in the early nineties, feature models receive a great deal of attention in industry and academia. Industrial success stories in applying feature models for modeling software product lines, and using them for configuring software-intensive systems motivate academia to discover ways to integrate different feature dependencies into the feature model, and automate verified feature configuration. In this paper we demonstrate how ontologies and Semantic Web technologies facilitate seamless integration of required external services and deployment platform capabilities into the feature model. Furthermore, we also contribute with an algorithm for automating staged configuration using Semantic Web reasoners to discover unfeasible features of the feature model.",

keywords = "feature modeling, Ontologies, semantic web, software product lines engineering",

author = "Marko Bo{\v s}kovi and Ebrahim Bagheri and Dragan Ga{\v S}evi and Bardia Mohabbati and Nima Kaviani and Marek Hatala",

note = "Funding Information: ∗The research results presented in this paper are at least supported in part by the Alberta Ingenuity through the New Faculty Award program.",

year = "2010",

month = jun,

doi = "10.1142/S0218194010004827",

language = "English",

volume = "20",

pages = "459--484",

journal = "International Journal of Software Engineering and Knowledge Engineering",

issn = "0218-1940",

publisher = "World Scientific Publishing",

number = "4",

}

TY - JOUR

T1 - Automated staged configuration with semantic web technologies

AU - Boškovi, Marko

AU - Bagheri, Ebrahim

AU - GaŠevi, Dragan

AU - Mohabbati, Bardia

AU - Kaviani, Nima

AU - Hatala, Marek

N1 - Funding Information: ∗The research results presented in this paper are at least supported in part by the Alberta Ingenuity through the New Faculty Award program.

PY - 2010/6

Y1 - 2010/6

N2 - Since the introduction in the early nineties, feature models receive a great deal of attention in industry and academia. Industrial success stories in applying feature models for modeling software product lines, and using them for configuring software-intensive systems motivate academia to discover ways to integrate different feature dependencies into the feature model, and automate verified feature configuration. In this paper we demonstrate how ontologies and Semantic Web technologies facilitate seamless integration of required external services and deployment platform capabilities into the feature model. Furthermore, we also contribute with an algorithm for automating staged configuration using Semantic Web reasoners to discover unfeasible features of the feature model.

AB - Since the introduction in the early nineties, feature models receive a great deal of attention in industry and academia. Industrial success stories in applying feature models for modeling software product lines, and using them for configuring software-intensive systems motivate academia to discover ways to integrate different feature dependencies into the feature model, and automate verified feature configuration. In this paper we demonstrate how ontologies and Semantic Web technologies facilitate seamless integration of required external services and deployment platform capabilities into the feature model. Furthermore, we also contribute with an algorithm for automating staged configuration using Semantic Web reasoners to discover unfeasible features of the feature model.

KW - feature modeling

KW - Ontologies

KW - semantic web

KW - software product lines engineering

UR - http://www.scopus.com/inward/record.url?scp=77957919313&partnerID=8YFLogxK

U2 - 10.1142/S0218194010004827

DO - 10.1142/S0218194010004827

M3 - Article

AN - SCOPUS:77957919313

SN - 0218-1940

VL - 20

SP - 459

EP - 484

JO - International Journal of Software Engineering and Knowledge Engineering

JF - International Journal of Software Engineering and Knowledge Engineering

IS - 4

ER -

Automated staged configuration with semantic web technologies

Abstract

Keywords

Access to Document

Other files and links

Cite this