Enhancing Software Quality with ML-based Bug Prediction

Kouti vibha; Selvam muniappan

Enhancing Software Quality with ML-based Bug Prediction

August 2025

Vol-11, Issue-5

Paper ID: 27439

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Machine learning

Keywords

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

Abstract

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.

License

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Author Information

#	Name	Institute / Affiliation
1	Kouti vibha	T JOHN INSTITUTE of technology
2	Selvam muniappan	T JOHN INSTITUTE of technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

vibha, Kouti & muniappan, Selvam (2025). Enhancing Software Quality with ML-based Bug Prediction. International Journal of Advance Research and Innovative Ideas In Education, 11(5), 40-44.

MLA Style

vibha, Kouti, 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, pp. 40-44.

IEEE Style

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, 2025.

Vancouver Style

vibha Kouti, muniappan Selvam. Enhancing Software Quality with ML-based Bug Prediction. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(5):40-44.

Harvard Style

vibha, Kouti & muniappan, Selvam (2025) 'Enhancing Software Quality with ML-based Bug Prediction', International Journal of Advance Research and Innovative Ideas In Education, 11(5), pp. 40-44.

Chicago Style

vibha, Kouti 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.

Turabian Style

vibha, Kouti 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.