Software Fault Prediction Using Machine Learning

Software Fault Prediction Using Machine Learning

Registration ID: IJNRD_210706

Published ID: IJNRD2403644

DOI: Click Here to Get

Dishant Aggarwal , Smarth Kumar , Aman Gupta , Ajay Kr. Tiwari

The IT and software industry has grown tremendously over the past few years, creating an increasing impact on the lives of people and on society as a whole. Consequently, we must make the software and applications more accurate, free of major errors, and more reliable. Therefore, predicting software flaws could be very useful in the IT field and will have a profound impact on society at large. Keywords supervised; unsupervised; reinforced; linear regression; Linear regression decision tree; python programming; Jupyter Notebook; confusion matrix;

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"Software Fault Prediction Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.g381-g384, March-2024, Available :https://ijnrd.org/papers/IJNRD2403644.pdf

Volume 9 Issue 3, March-2024

Pages : g381-g384

Paper Reg. ID: IJNRD_210706

Published Paper Id: IJNRD2403644

Downloads: 000121182

Research Area: Computer Engineering 

Country: Delhi, Delhi, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403644.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403644

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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