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A Comparative Analysis of NOC over MVG to Improve Quality of Software

0*, Dr. Anil Kumar Malviya**, Dr. Manish Gaur***, vikash chauhan****

* Research Scholar, Department of Computer Science and Engineering, Mewar University, Rajasthan, India.

** Professor, Department of Computer Science and Engineering, KNIT Sultanpur, Uttar Pradesh, India.

*** Associate Professor, Department of Computer Science and Engineering, IET, Lucknow, Uttar Pradesh, India.

**** Lecturer, Department of Computer Science and Engineering, KNIT Sultanpur, Uttar Pradesh, India.

Periodicity:July - September'2015
DOI : https://doi.org/10.26634/jse.10.1.3621

Abstract

Software metric is one of the very important elements to predict the quality. The relationship of Number of Children metric with cyclomatic complexity is a significant matter. Here in this paper the relationship of NOC (Number of Children) and MVG (McCabe's Cyclomatic Complexity) have been explained using three real projects developed in JAVA language. The authors have also empirically computed NOC and MVG metrics of these projects and found the correlation between these two. It is found that on increasing NOC, MVG also increases in polynomial form which is showing the directly proportional relationship. This paper is providing an optimal value of NOC up to that software will be quality software.

Keywords

NOC, MVG, Correlation of NOC and MVG.

How to Cite this Article?

Gupta, D. L., Malviya, A. K., Gaur, M. G., and Chauhan, V. (2015). A Comparative Analysis of NOC over MVG to Improve Quality of Software. i-manager’s Journal on Software Engineering, 10(1), 6-13. https://doi.org/10.26634/jse.10.1.3621

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