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Modeling of Reusability of Procedure based Software Components using Naive Bayes Classifier Approach

by Priyanka Kakkar, Meenakshi Sharma, Parvinder Sandhu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 15
Year of Publication: 2012
Authors: Priyanka Kakkar, Meenakshi Sharma, Parvinder Sandhu
10.5120/8830-2979

Priyanka Kakkar, Meenakshi Sharma, Parvinder Sandhu . Modeling of Reusability of Procedure based Software Components using Naive Bayes Classifier Approach. International Journal of Computer Applications. 55, 15 ( October 2012), 12-17. DOI=10.5120/8830-2979

@article{ 10.5120/8830-2979,
author = { Priyanka Kakkar, Meenakshi Sharma, Parvinder Sandhu },
title = { Modeling of Reusability of Procedure based Software Components using Naive Bayes Classifier Approach },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 15 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number15/8830-2979/ },
doi = { 10.5120/8830-2979 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:57:19.741471+05:30
%A Priyanka Kakkar
%A Meenakshi Sharma
%A Parvinder Sandhu
%T Modeling of Reusability of Procedure based Software Components using Naive Bayes Classifier Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 15
%P 12-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We have developed a highly flexible module to evaluate and access the reusability of software components. The purpose of this model is to do pattern recognition by discovering supervised features which can help us to measure the intangible aspects of software components in terms of reusability. There were several function based applications which were given due diligence for identifying their various degrees of reusability of their components. Once these projects were analyzed their software components were measured in terms of software metrics including (Volume, Coupling, Complexity, Reuse frequency, Regularity and Reusability). These measured metrics were carefully allocated a particular set of label which was based on the principals of software engineering and objectives to be achieved for doing the due research. Therefore, in this research work we are studying the degree of reusability by using six classes Naïve Bayes Classification method which was able to give high precision value as compare to previous methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Modeling Reusability

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