Mobile Media SPL creation by Feature IDE using FODA

Manjinder Kaur; Parveen Kumar

Mobile Media SPL creation by Feature IDE using FODA

Manjinder Kaur * §

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Parveen Kumar

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Lovely Professional University, Punjab, India.

Mobile Media SPL creation by Feature IDE using FODA

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Abstract

Software Product Lines are used in many areas, combining to form new technologies and products. A product line is a group of products that share a common development platform and vary by the composition and implementation method for the functionalities. This paper describes the implementation or creation of MobileMedia feature model using FODA (Feature Oriented Domain Analysis) methodology using FeatureIDE eclipse plug-in. The feature model created in this depicts various outlines as feature model as visual model, collaboration diagram view of model, its configuration, FeatureIDE Statistics. Basically the paper shows the concept how SPLs can be viewed as feature diagrams using various tools in order to deal with them. This modelling has been widely used by software product line communities and a number of extensions have been proposed.

References

5 Cites in Article

Reference Format

Fuminobu Takeyama,Shigeru Chiba (2013). Implementing Feature Interactions with Generic Feature Modules.
Shahid Qaiser,Muhammad (2010). Software Product Line: Survey of Tools.
Joachim Bayer,Oliver Flege,Peter Knauber,Roland Laqua,Dirk Muthig,Klaus Schmid,Tanya Widen,Jean-Marc Debaud (1999). PuLSE.
Klaus Pohl,Günter Böckle,Frank Van Der Linden (2005). Software Product Line Engineering.
Mathieu Acher,Roberto,Rick Rabiser (2014). A Survey on Teaching of Software Product Lines.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Manjinder Kaur, Parveen Kumar. 2014. "Mobile Media SPL creation by Feature IDE using FODA". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C3).

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GJCST Volume 14 Issue C3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

feature model featureide mobilemedia SPLS

Classification

GJCST-C Classification D.2

Submission ReceivedDecember 6, 2013
Peer Review Double Blind
Handling Editor
Accepted January 2, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

May 27, 2014

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Manjinder Kaur, Parveen Kumar (PhD/Dr. count: 0)

View Count (all-time): 376

Total Views (Real + Logic): 3523

Total Downloads (simulated): 167

Publish Date: 2014 01, Wed

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Total Views: 3.5K

Total Downloads: 167

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