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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: BUG CLASSIFICATION IN CLOUD COMPUTING APPLICATION USING DEEP LEARNING
Authors Name: Anunay Ghosh , Souvik Ghosh
Unique Id: IJSDR2305289
Published In: Volume 8 Issue 5, May-2023
Abstract: Cloud technology is not immune to defect classifying or errors (Bugs) classifying. It may come from internal system errors or hardware resource corruption. Minor bugs may cause screen freeze, unexpected messages and also may affect on usage. The unpredictable bug reports have a direct impact on the effectiveness of the bug detection model. If that bug remains unpredictable then we cannot record it as future reference. That will become more trouble. The accuracy of the system surely compromised by this problem. By manual process to review bug reports can take lots of time, and its truly hard work for testers and developers. We need to feature extraction of the dataset before to process it. After the dataset has undergone, we can put in a Machine learning algorithm to process it. This study proposes two classifiers Linear regression or logistic regression classifier and Naive Bayes.
Keywords: Cloud computing; Classifiers; Bugs; Deep learning.
Cite Article: "BUG CLASSIFICATION IN CLOUD COMPUTING APPLICATION USING DEEP LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1835 - 1839, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305289.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2305289
Registration ID:206659
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36206
Page No: 1835 - 1839
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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