Cohesion Metric and its Relation with Coupling: A Class Level Variable Assessment Approach

Cohesion Metric and its Relation with Coupling: A Class Level Variable Assessment Approach

meduri_vsd

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Dr.M.V.Vijaya Saradhi

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Dr.B.V.Ramana Murthy

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α Jawaharlal Nehru Technological University, Hyderabad

Cohesion Metric and its Relation with Coupling: A Class Level Variable Assessment Approach

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Abstract

Cohesion Metrics is an important technical development which helps for the better Assessment Of class cohesion that is the measurement of relatedness among members In a class. The higher this relatedness is the best the performance will be. Hence this is an important feature of Object oriented systems. Present paper presents an advanced metrics. The pervious metrics have got few limitations. Whereas this advanced metrics considers few more characteristics of class Cohesion. This is based on common object parameters. Moreover this metric is statistically advanced and measures cohesion by observing the relationship between cohesion Metric and Coupling. This is cohesion measurement tool for Java and it is tested on several systems. These systems which are used for the experiment are deferent in size and domain. This test proved that this extended metrics captures other pairs of relatedness among members in a class and also the correlation between cohesion Metric and coupling.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

meduri_vsd. 2011. \u201cCohesion Metric and its Relation with Coupling: A Class Level Variable Assessment Approach\u201d. Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 11 (GJRE Volume 11 Issue I7): .

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GJRE Volume 11 Issue I7
Pg. 17- 26

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

CBO Class level variables CLC Cohesion Coupling DCD DCDE DCI DCIE LCC LCOM Metrics MIC MPC OLC Spearman correlation TCC

Submission ReceivedOctober 25, 2011
Peer Review Double Blind
Handling Editor
Accepted November 24, 2011
Published December 9, 2011

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v1.2

Issue date

December 28, 2011

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Article Matrices

Total Score: 112

Country: India

Subject: Global Journal of Research in Engineering - I: Numerical Methods

Authors: Dr.M.V.Vijaya Saradhi,Dr.B.V.Ramana Murthy (PhD/Dr. count: 2)

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Publish Date: 2011 12, Wed

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Total Views: 5779

Total Downloads: 3158

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