A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

G RAGHU VAMSHI; K M KABILAN; PRAHARSH SAI; T. LAVANYA; Dr. S. SHIVA PRASAD

doi:10.64643/ijirtv12i10-195043-459

March 23, 2026International Journal of Innovative Research in TechnologyOpen Access

A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

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Key Points

The central aim is to assess how machine learning can improve the accuracy of predicting software defects.
Evaluation of machine learning techniques for defect prediction.
Comparison of prediction accuracy before and after implementing the new approach.
Analysis of teaching programs related to software defect management.
Significant improvement in prediction accuracy was observed using machine learning methods.
Enhanced knowledge among participants regarding software management practices was recorded.

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Implication

A study evaluates the effectiveness of machine learning programs on defect prediction accuracy in software development, suggesting enhancements.

Abstract

Explore the article titled A NOVEL APPROACH TO IMPROVE SOFTWARE DEFECT PREDICTION ACCURACY USING MACHINE LEARNING from IJIRT Volume 12, Issue 10. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

VAMSHI et al. (2026) studied this question.

synapsesocial.com/papers/69eb0c39553a5433e34b586c https://doi.org/10.64643/ijirtv12i10-195043-459

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A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

Key Points

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Implication

Abstract

Discussion

Cite This Study

A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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