Paper Title

Improving the quality of software cohesion metrics through dynamic analysis

Authors

  • Ravneet kaur

Keywords

Cohesion, Metrics, Dynamic measures, static measures, AMC, AAC, MAAC

Abstract

Mostly object based cohesion metrics planned in the journalism described static cohesion at design level. Dynamic cohesion performed measurement and provide good approaching into behavioral aspects of the system. Dynamic cohesion measurement is providing the capacity of cohesion metric at object level and using various object oriented characteristics such that encapsulation, polymorphism, parameters for the period of measure. Dynamic cohesion metrics firstly introduced the correct meaning of the measures and then define measures, validation and verification. The dynamic analysis construct examine tool and performing dynamic analysis of java programs for collecting the dynamic data for evaluation and measures the dynamic cohesion. The dynamic metric defined accurate distinction in between the existing metric into previous one. In this paper, we have discussed various dynamic approaches which are significantly improving the accuracy of cohesion measurement. We have implemented our technique and measured module cohesion for several programs. Using class cohesion metric is an important object oriented software quality attribute. Assessing the class cohesion and improving the class quality accordingly during the object oriented design phase allows for cheaper management of the later phases.

Article Type

Published

How To Cite

Ravneet kaur. "Improving the quality of software cohesion metrics through dynamic analysis".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.887-891, URL :https://rjwave.org/ijedr/papers/IJEDR1502156.pdf

Issue

Volume 3 Issue 2 

Pages. 887-891

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