Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Enhancing Software Quality with ML-based Bug Prediction
PaperId: :  27439
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 5 2025
DUI:    16.0415/IJARIIE-27439
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kouti vibhaT JOHN INSTITUTE of technology
Selvam muniappan T JOHN INSTITUTE of technology

Abstract

Machine learning
Software Bug Prediction (SBP), Software Development, Software Maintenance, Software Quality, Reliability, Efficiency, Cost Reduction, Bug Prediction Model, Machine Learning (ML), Supervised Learning, Naïve Bayes (NB), Decision Tree (DT), Artificial Neural Networks (ANNs), Historical Data, Prediction Accuracy, Comparative Analysis, Performance Evaluation
Software Bug Prediction (SBP) plays a vital role in the software development and maintenance lifecycle, as it directly impacts the overall success of software systems. Identifying defects at earlier stages leads to higher software quality, improved reliability, better efficiency, and reduced development costs. Despite its importance, building an accurate bug prediction model remains a difficult challenge, and numerous methods have been suggested in previous studies. In this work, we propose a software bug prediction model that employs machine learning (ML) techniques. Specifically, three supervised ML classifiers—Naïve Bayes (NB), Decision Tree (DT), and Artificial Neural Networks (ANNs)—are applied to predict future software defects using historical datasets. The evaluation results demonstrate that ML-based models can achieve high prediction accuracy. Additionally, a comparative analysis with existing approaches reveals that the proposed ML-based prediction model provides superior performance.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Kouti vibha, and Selvam muniappan . "Enhancing Software Quality with ML-based Bug Prediction" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 5 2025 Page 40-44
MLA Kouti vibha, and Selvam muniappan . "Enhancing Software Quality with ML-based Bug Prediction." International Journal Of Advance Research And Innovative Ideas In Education 11.5(2025) : 40-44.
APA Kouti vibha, & Selvam muniappan . (2025). Enhancing Software Quality with ML-based Bug Prediction. International Journal Of Advance Research And Innovative Ideas In Education, 11(5), 40-44.
Chicago Kouti vibha, and Selvam muniappan . "Enhancing Software Quality with ML-based Bug Prediction." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 5 (2025) : 40-44.
Oxford Kouti vibha, and Selvam muniappan . 'Enhancing Software Quality with ML-based Bug Prediction', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 5, 2025, p. 40-44. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Enhancing_Software_Quality_with_ML_based_Bug_Prediction_ijariie27439.pdf (Accessed : ).
Harvard Kouti vibha, and Selvam muniappan . (2025) 'Enhancing Software Quality with ML-based Bug Prediction', International Journal Of Advance Research And Innovative Ideas In Education, 11(5), pp. 40-44IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Enhancing_Software_Quality_with_ML_based_Bug_Prediction_ijariie27439.pdf (Accessed : )
IEEE Kouti vibha, and Selvam muniappan , "Enhancing Software Quality with ML-based Bug Prediction," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 5, pp. 40-44, Sep-Oct 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Enhancing_Software_Quality_with_ML_based_Bug_Prediction_ijariie27439.pdf [Accessed : ].
Turabian Kouti vibha, and Selvam muniappan . "Enhancing Software Quality with ML-based Bug Prediction." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 5 ().
Vancouver Kouti vibha, and Selvam muniappan . Enhancing Software Quality with ML-based Bug Prediction. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(5) : 40-44. Available from: https://ijariie.com/AdminUploadPdf/Enhancing_Software_Quality_with_ML_based_Bug_Prediction_ijariie27439.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
MULTIPLE DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNINGCOMPUTER ENGINEERING DR. J. AMUTHARAJ Download
SOLAR TRACKING SYSTEM WITH WEATHER FORECASTING AND AUTOMATED CLEANING SYSTEMArtificial Intelligence Electrical and Electronics EngineeringVanarasan S Download
ASD PredictionComputer scienceAbhilasha M Download
Music Recommendation based on Face Emotion Using Artificial Intelligence and Machine LearningInformation Science EngineeringDr. Sreenivasa Murthy V Download
SMART TRAFFIC AI MONITORING SYSTEM-AI/MLINFORMATION SCIENCE AND ENGINEERING PRIYANKA MT Download
SHADOW THE WEB BROWSERComputer Science and EngineeringLakshmi Narayan S Download
SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEMComputer Engineering Tharun R Download
Early Detection Of Electrical Fault Line Using Artificial IntelligenceElectrical Engineering , Computer Science , Artificial IntelligenceRakshitha R Download
Real Time Object Detection Tracking using YOLO and Deep SORTInformation science and engineeringNandan M R Download
An AI-Integrated Intelligent Health Advisory System with Machine-Learning-Based Ayurvedic Formulation RecommendationInformation Science EngineeringSrinidhi G Download
Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS Information Science and EngineeringVarun V Download
Precision Agriculture Using Machine Learning and IOTComputer Science and EngineeringRamesh B E Download
A Secure Blockchain Based Voting SystemComputer Science and EngineeringSagar K R Download
Chatbot based helpdesk for Government employee and departmentsComputer science & Engineering(Cyber Security Engineerting)Dr. Shanthi S Download
Zero Trust ArchitectureComputer EngineeringAditya Yanna Download
12