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Verify Feature Models using protegeowl

Published: 10 May 2005 Publication History

Abstract

Feature models are widely used in domain engineering to capture common and variant features among systems in a particular domain. However, the lack of a widely-adopted means of precisely representing and formally verifying feature models has hindered the development of this area. This paper presents an approach to modeling and verifying feature diagrams using Semantic Web ontologies.

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M. Simos et al. Software technology for adaptable reliable system (STARS) organization domain modeling (ODM) guidebook version 2.0. Technical Report STARS-VC-A025/001/00, Lockheed Martin Tactical Defense Systems, Manassas, VA, 1996.
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I. Horrocks, P. F. Patel-Schneider, and F. van Harmelen. From SHIQ and RDF to OWL: The making of a web ontology language. J. of Web Semantics, 1(1):7--26, 2003.
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K. C. Kang, S. Cohen, J. Hess, W. Nowak, and S. Peterson. Feature-oriented domain analysis (FODA) feasibility study. Technical Report CMU/SEI-90TR-21, Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA, November 1990.

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  • (2019)A Domain Engineering Framework Based on Probabilistic Ontologies for Automated Selection of Features to ReuseSystems Engineering in Context10.1007/978-3-030-00114-8_50(631-642)Online publication date: 22-Jun-2019

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cover image ACM Conferences
WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web
May 2005
454 pages
ISBN:1595930515
DOI:10.1145/1062745
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 May 2005

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Author Tags

  1. OWL
  2. feature modeling
  3. ontologies
  4. semantic web

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all
  • (2019)A Domain Engineering Framework Based on Probabilistic Ontologies for Automated Selection of Features to ReuseSystems Engineering in Context10.1007/978-3-030-00114-8_50(631-642)Online publication date: 22-Jun-2019

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