Improve Relevancy of Object Oriented Class Cohesion Metrics with Inheritance

Jaspreet Kaur

Improve Relevancy of Object Oriented Class Cohesion Metrics with Inheritance

Jaspreet Kaur * § M.Tech(CSE)

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Improve Relevancy of Object Oriented Class Cohesion Metrics with Inheritance

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Abstract

Cohesion is a very important quality attribute in software. As we know that there are number of cohesion metrics are proposed in the literature to measure the cohesion of software systems. These metrics gives undefined values for a large number of classes which comes under special cases. Because of this reason, these metrics became non-applicable for these classes as they are unable to give cohesion values for these classes. In this paper, a value assignment criterion would be used to make cohesion metrics applicable and the concept of inheritance would be included for these special cases. Study the effect of including or excluding the inherited elements i.e., methods and attributes.

References

12 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

Jaspreet Kaur. 2013. "Improve Relevancy of Object Oriented Class Cohesion Metrics with Inheritance". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C7).

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GJCST Volume 13 Issue C7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

class cohesion cohesion metric HLD LLD object-oriented software quality

Classification

GJCST-C Classification D.2.3

Submission ReceivedDecember 6, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published July 2, 2013

Version of record

v1.2

Issue date

July 2, 2013

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: Jaspreet Kaur, Rupinder Kaur (PhD/Dr. count: 0)

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Publish Date: 2013 01, Tue

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Total Views: 2.7K

Total Downloads: 192

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