AUTOMATED STAGED CONFIGURATION WITH SEMANTIC WEB TECHNOLOGIES

Author:

BOŠKOVIĆ MARKO1,BAGHERI EBRAHIM2,GAŠEVIĆ DRAGAN1,MOHABBATI BARDIA13,KAVIANI NIMA4,HATALA MAREK3

Affiliation:

1. School of Computing and Information Systems, Athabasca University, 1 University Drive, Athabasca, Alberta T9S 3A3, Canada

2. Institute for Information Technology, National Research Council Canada, 46 Dineen Drive, Fredericton, New Brunswick E3B 9W4, Canada

3. School of Interactive Arts and Technology, Simon Fraser University, 13450 102 Avenue, Surrey, British Columbia V3T 5X3, Canada

4. Department of Electrical and Computer Engineering, University of British Columbia, 2356 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated analysis of feature models: Quo vadis?;Computing;2018-08-11

2. A bibliometric analysis of 20 years of research on software product lines;Information and Software Technology;2016-04

3. An Ontology for Licensing Public Transport Services;Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance;2016-03

4. Ontology-based feature modeling: An empirical study in changing scenarios;Expert Systems with Applications;2015-07

5. Product Line Stakeholder Preference Elicitation via Decision Processes;International Journal of Knowledge and Systems Science;2014-10

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