UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1810784


Registration ID:
190718

Page Number

24-26

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Title

ANALYSIS OF SEVERAL CLASSIFICATION TECHNIQUES FOR DETECTING FAULTS IN DIFFERENT KIND OF SOFTWARES

Abstract

An important aspect of examination process of software is the flaw spotting. A software blemish is basically an error, bug , mistake in software that cause it produce damage outcome or answer and deteriorates the software quality. A testing process composed of numeral of step to find fracture in software .In detection of mistake different techniques used to detect the existence of faults .In this reappraisal paper, various sorting technique as Neural Network, SVM classification, Random Forest, Naive Bayes, Decision Tree reviewed for null functional requirements. The techniques are reviewed on the footing of certain parameter. In this paper we review various classifiers and their classification techniques to find which classifier is better in detecting the faults.

Key Words

Classification, Null Functions, KNN, SVM, Decision tree, Naive Bayes, Software fault detection, Random forest

Cite This Article

"ANALYSIS OF SEVERAL CLASSIFICATION TECHNIQUES FOR DETECTING FAULTS IN DIFFERENT KIND OF SOFTWARES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.24-26, October-2018, Available :http://www.jetir.org/papers/JETIR1810784.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANALYSIS OF SEVERAL CLASSIFICATION TECHNIQUES FOR DETECTING FAULTS IN DIFFERENT KIND OF SOFTWARES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp24-26, October-2018, Available at : http://www.jetir.org/papers/JETIR1810784.pdf

Publication Details

Published Paper ID: JETIR1810784
Registration ID: 190718
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 24-26
Country: Kangra, Himachal pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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