Paper Title
Software Fault Prediction Using Machine Learning
Article Identifiers
Authors
Dishant Aggarwal , Smarth Kumar , Aman Gupta , Ajay Kr. Tiwari
Keywords
Abstract
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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How To Cite (APA)
Dishant Aggarwal, Smarth Kumar, Aman Gupta, & Ajay Kr. Tiwari (March-2024). Software Fault Prediction Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), g381-g384. https://ijnrd.org/papers/IJNRD2403644.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : g381-g384
Other Publication Details
Paper Reg. ID: IJNRD_210706
Published Paper Id: IJNRD2403644
Downloads: 000121990
Research Area: Computer EngineeringÂ
Country: Delhi, Delhi, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403644.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403644
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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