Ch. Satyanarayana Reddy1, K.Pavani2, R.Mounika3 03 05 In software development analyzing large volumes of bug reports is a challenging and timeconsuming task This paper proposes an ensemble machine learningbased model combined with Natural Language Processing NLP techniques to automatically predict the nature of bug reports Multiple classifiers including Logistic Regression Nave Bayes Support Vector Machine and Random Forest are integrated using a voting mechanism to improve prediction accuracy Experimental results demonstrate that the proposed system significantly enhances classification performance and reduces manual effort in software maintenance Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026