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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(1): 84-88 ISSN:2301-3559
DOI: 10.7763/LNSE.2013.V1.19

Modeling Product Line Variants – Semantic Web Approach

Shamim Ripon, Moshiur Mahamud Piash, and Sheikh Md. Alam Hossain

Abstract—Variant management is crucial to successful to product line software (SPL) development. Feature diagram is the most widely used notation to model variants of product line. Feature diagram captures both common and variants features of SPL. Various approaches have been proposed to model the variants in a feature model. However, there is a lack of proper formal semantics in most of these approaches. This paper presents our work-in progress feature modeling approach using semantic web, in particular OWL-DL where the features and relations in the feature diagram are represented in a concise and formally sound way. This representation is then checked for variant feature consistency using OWL reasoning tool. Such representation facilitates the search and maintenance of feature models and enhances knowledge sharing and transfer within a reusable engineering context.

Index Terms—OWL-DL, software product line, semantic web, variant management.

The authors are with the Department Computer Science and Engineering, East West University, Dhaka, Bangladesh (e-mail: dshr@ewubd.edu).


Cite: Shamim Ripon, Moshiur Mahamud Piash, and Sheikh Md. Alam Hossain, "Modeling Product Line Variants – Semantic Web Approach," Lecture Notes on Software Engineering  vol. 1, no. 1, pp. 84-88, 2013.

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