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Analysis Receiver Operating Characteristics of Software Quality Requirement by Classification Algorithms

by Dhyan Chandra Yadav, Saurabh Pal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 8
Year of Publication: 2015
Authors: Dhyan Chandra Yadav, Saurabh Pal
10.5120/20355-2544

Dhyan Chandra Yadav, Saurabh Pal . Analysis Receiver Operating Characteristics of Software Quality Requirement by Classification Algorithms. International Journal of Computer Applications. 116, 8 ( April 2015), 12-17. DOI=10.5120/20355-2544

@article{ 10.5120/20355-2544,
author = { Dhyan Chandra Yadav, Saurabh Pal },
title = { Analysis Receiver Operating Characteristics of Software Quality Requirement by Classification Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 8 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number8/20355-2544/ },
doi = { 10.5120/20355-2544 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:31.879855+05:30
%A Dhyan Chandra Yadav
%A Saurabh Pal
%T Analysis Receiver Operating Characteristics of Software Quality Requirement by Classification Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 8
%P 12-17
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Requirement engineering has an important role in software project development. Quality maintenance is the major factor in software industry. Requirement continues increases in the software market at different economic status with high class quality. The quality of software project development depend on technical performance but generally a technical problem run in project development known as duplicity. Duplicity is software bug which create problem in development. Data mining generate technical help in analysis of problematic area. In this paper we proposed the analysis of receiver operating characteristics of software defect related attribute data object and also analysis cost/benefit population, target confusion matrix and classification accuracy by zeroR, oneR and Prism algorithms of data mining.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Classification: zeroR oneR and Prism ROC Weka.

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