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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Impact Factor : 8.76

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Paper Title: An Experimental Study For Software Quality Prediction With Machine Learning Methods
Authors Name: Dr.K.Sailaja , D Veeranjaneyulu , S.AShok
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IJNRD_207210
Published Paper Id: IJNRD2310273
Published In: Volume 8 Issue 10, October-2023
DOI:
Abstract: Software quality assurance is a fundamental aspect of software development, ensuring that software products meet predefined standards and user expectations. In this era of rapidly evolving technology and complex software systems, predicting and enhancing software quality is paramount. This study presents an experimental investigation into software quality prediction using machine learning methods.
Keywords: software systems, software quality
Cite Article: "An Experimental Study For Software Quality Prediction With Machine Learning Methods", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.c658-c670, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310273.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2310273
Registration ID: 207210
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: c658-c670
Country: Chennai, TamilNadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310273
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310273
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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