• Rupinder Kaur
• Mr.Rishav dewan

Software Bug Detection (SBD) is the critical concern in the field of the software development process. Because if we can identify the errors in the software in the initial phase that will help to enhance the quality and efficiency of the software. But to implement such software is the main challenge and that’s why we need to analyze multiple machine learning algorithms from time to time. Multiple classifiers includes Decision Tree, Naive Bayes, KNN and many other relevant algorithms. Thus, we need to check the accuracy obtained and need to consider the most accurate one in consideration. The results, we observed will show the most accurate results of the prediction.

Software bug Detection; ML algorithms; Decision Tree; KNN, Naive Bayes, Artificial Neural Networks (ANNs)

"Identify the bugs from Software using the Supervised algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.478-481, April-2021, Available :http://www.jetir.org/papers/JETIR2104067.pdf

"Identify the bugs from Software using the Supervised algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp478-481, April-2021, Available at : http://www.jetir.org/papers/JETIR2104067.pdf