Quantifying COTS Components Selection using Multi Criteria Decision Analysis Method- PROMETHEE

Kulbir Kaur; Harshpreet Singh

Quantifying COTS Components Selection using Multi Criteria Decision Analysis Method- PROMETHEE

Kulbir Kaur * §

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Harshpreet Singh §

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§ Lovely Professional University, Phagwara, Punjab-144...

Quantifying COTS Components Selection using Multi Criteria Decision Analysis Method- PROMETHEE

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Abstract

Component Based Development relies on already existing components to develop the system. It offers various advantages as increase in productivity, reduced development effort and time. The biggest challenge is to select the appropriate component from number of alternatives based on the quality parameters. In this paper COTS component selection is reduced to a multi criteria decision problem by quantifying it with PROMETHEE method. PROMETHEE is an outranking method which better supports the evaluation and selection from various alternatives based on the functional and non-functional requirements. The aim of this paper is to show the application of PROMETHEE in evaluating, analysing and selecting the appropriate COTS component with respect to requirements. The paper also discusses the procedure and benefits of using PROMETHEE method over the other MCDA methods.

References

9 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

Kulbir Kaur, Harshpreet Singh. 2014. "Quantifying COTS Components Selection using Multi Criteria Decision Analysis Method- PROMETHEE". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C2).

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GJCST Volume 14 Issue C2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification K.6.3

Submission ReceivedDecember 7, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published May 15, 2014

Version of record

v1.2

Issue date

May 15, 2014

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Kulbir Kaur, Harshpreet Singh (PhD/Dr. count: 0)

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Publish Date: 2014 01, Wed

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Total Views: 2K

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