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Object Oriented Metrics Evaluation

by S. Pasupathy, R. Bhavani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 1
Year of Publication: 2013
Authors: S. Pasupathy, R. Bhavani
10.5120/13455-1137

S. Pasupathy, R. Bhavani . Object Oriented Metrics Evaluation. International Journal of Computer Applications. 78, 1 ( September 2013), 30-37. DOI=10.5120/13455-1137

@article{ 10.5120/13455-1137,
author = { S. Pasupathy, R. Bhavani },
title = { Object Oriented Metrics Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 1 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 30-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number1/13455-1137/ },
doi = { 10.5120/13455-1137 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:32.193934+05:30
%A S. Pasupathy
%A R. Bhavani
%T Object Oriented Metrics Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 1
%P 30-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the results derived from the survey on metrics used in object oriented environments. The survey includes a small set of the most well known and commonly applied traditional software metrics which could be applied to object oriented programming and a set of object oriented metrics. In short, the metrics based assessment of a software system and measures taken to improve its design differ considerably from tool to tool. To support the case, we conducted an experiment with a number of commercial and free metrics tools. We calculated metrics values using the same set of standard metrics for three software systems of different sizes. These metrics were evaluated using object oriented metrics tools for the purpose of analyzing quality of the product, encapsulation, inheritance, message passing, polymorphism, reusability and complexity measurement. It defines a ranking of the classes that are most vital note down and maintainability. The results can be of great assistance to quality engineers in selecting the proper set metrics for their software projects and to calculate the metrics, which was developed using a sequential object oriented life cycle process.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Software development Object oriented programming Object oriented metrics tool

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