Unsolved Tricky Issues on COTS Selection and Evaluation

Unsolved Tricky Issues on COTS Selection and Evaluation

Article ID

4E3TY

, ,

Unsolved Tricky Issues on COTS Selection and Evaluation

Dr. Zahid Javed

Ahsan Raza Sattar

Muhammad Shakeel Faridi

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Abstract

Component Based Software Engineering (CBSE) approach is based on the idea to develop software systems by selecting appropriate components and then to assemble them with a well-defined software architecture. (CBSE) offers developers the twin benefits of reduced software life cycles, shorter development times , saving cost and less effort as compare to build own component. However the success of the component based paradigm depends on the quality of the commercial off-the-shelf (COTS) components purchased and integrated into the existing software systems. It is need of the time to present a quality model that can be used by software programmer to evaluate the quality of software components before integrating them into legacy systems. The evaluation and selection of the COTS components are the most critical process. These evaluation and selection method cannot be resolved by the IT professionals itself. In this study the author tried to compare the twenty three available systematic methods for best evaluation and selection of COTS components.

Unsolved Tricky Issues on COTS Selection and Evaluation

Authors

Dr. Zahid Javed

Ahsan Raza Sattar

Muhammad Shakeel Faridi

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How to Cite

Dr. Muhammad Shakeel Faridi. 2012. “. Global Journal of Computer Science and Technology – D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D10): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 12 Issue D10
Pg. 27- 31

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Submission Received December 13, 2011
Accepted January 3, 2012
Published January 15, 2012

Keywords

Commercial off-the-Shelf Component Based Software Engineering Software Architecture

Article Matrices

Total Score: 108

Country: Unknown

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: Dr. Zahid Javed, Ahsan Raza Sattar, Muhammad Shakeel Faridi (PhD/Dr. count: 1)

View Count (all-time): 234

Total Views (Real + Logic): 10037

Total Downloads (simulated): 2568

Publish Date: 2012 08, Wed

Monthly Totals (Real + Logic):

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Total Views: 10037

Total Downloads: 2568

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