Software Fault Prediction Using Machine Learning

Registration ID: IJNRD_210706

Published ID: IJNRD2403644

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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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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

Volume 9 Issue 3, March-2024

Pages : g381-g384

Paper Reg. ID: IJNRD_210706

Published Paper Id: IJNRD2403644

Downloads: 000122017

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Delhi, Delhi, India

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

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