Comparison Study and Review on Object-Oriented Metrics

Amit Sharma; Dr. Sanjay Kumar Dubey; Prof. (Dr.) Ajay Rana

Comparison Study and Review on Object-Oriented Metrics

Amit Sharma * §

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Dr. Sanjay Kumar Dubey

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Prof. (Dr.) Ajay Rana

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§ Amity university

Comparison Study and Review on Object-Oriented Metrics

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Abstract

The best elucidations to software development problems are regularly touted as objectoriented processes. The popularity of object-oriented design metrics is essential in software engineering for measuring the software complexity, estimating size, quality and project efforts. There are various approaches through which we can find the software cost estimation and predicates on various kinds of deliverable items. Object-oriented metrics assures to reduce cost and the maintenance effort by serving as early predictors to estimate software faults. Such an early quantification augments the quality of the final software. This paper reviews object-oriented metrics. A comparison table is maintained via which we can analyze the difference between all the objectoriented metrics effectively.

References

53 Cites in Article

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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

Amit Sharma, Dr. Sanjay Kumar Dubey, Prof. (Dr.) Ajay Rana. . "Comparison Study and Review on Object-Oriented Metrics". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 7).

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GJCST Volume 12 Issue 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Attributes class object oriented

Classification

GJCST Classification D.2.0

Submission ReceivedApril 7, 2012
Peer Review Double Blind
Handling Editor
Accepted May 4, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

April 4, 2012

Language

English

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Article Matrices

Total Score: 153

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Sanjay Kumar Dubey, Amit Sharma, Prof. (Dr.) Ajay Rana (PhD/Dr. count: 2)

View Count (all-time): 326

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Publish Date: 2012 05, Tue

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