Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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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.
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): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
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)
View Count (all-time): 202
Total Views (Real + Logic): 5763
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Publish Date: 2011 12, Wed
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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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