Security requirement engineering for Intentional Software Product Line

Dr. Sami OUALI; Naoufel KRAIEM; Henda BEN GHEZALA

Security requirement engineering for Intentional Software Product Line

Dr. Sami OUALI * §

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Naoufel KRAIEM

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Henda BEN GHEZALA

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§ National School of Computer Sciences University

Security requirement engineering for Intentional Software Product Line

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Abstract

Software product line engineering optimizes the development of individual systems by leveraging their common characteristics and managing their differences in a systematic way. These differences are called variabilities. We argue that it is difficult for business people to fully benefit of the SPL if it remains at the software level. The paper proposes a move towards a description of software product line in intentional terms, i.e. intentions and strategies to achieve business goals. We present ISPL, the model to describe intentional Software Product Line. Thereafter, we propose our process to show how to use this model.

References

15 Cites in Article

Reference Format

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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

Dr. OUALI, Naoufel KRAIEM, Henda GHEZALA. . "Security requirement engineering for Intentional Software Product Line". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 1).

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GJCST Volume 12 Issue 1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

comparison framework features modeling and metamodels intentional level Software Product Line variability

Classification

GJCST Classification D.4.6

K.6.5

H.2.7

Submission ReceivedApril 15, 2012
Peer Review Double Blind
Handling Editor
Accepted May 2, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

January 15, 2012

Language

English

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Article Matrices

Total Score: 148

Country: Tunisia

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Sami OUALI, Naoufel KRAIEM, Henda BEN GHEZALA (PhD/Dr. count: 1)

View Count (all-time): 235

Total Views (Real + Logic): 6836

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Publish Date: 2012 05, Tue

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Total Views: 6.8K

Total Downloads: 499

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