Predicting Software Defects with Smart Ensemble Learning Techniques

Abstract - Predicting software defects is a crucial aspect of ensuring software quality, aiming to detect potential problems early in the development cycle. This paper introduces an intelligent ensemble-based machine learning approach designed to classify software modules as defective or not.

Publication Details

Journal
International Research Journal of Innovations in Engineering and Technology
Published
2025-01-01
DOI
https://doi.org/10.47001/irjiet/2025.iccis-202519
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Software Defects with Smart Ensemble Learning Techniques

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International Research Journal of Innovations in Engineering and Technology
Software Engineering Research
article

Predicting Software Defects with Smart Ensemble Learning Techniques

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Abstract

Abstract - Predicting software defects is a crucial aspect of ensuring software quality, aiming to detect potential problems early in the development cycle. This paper introduces an intelligent ensemble-based machine learning approach designed to classify software modules as defective or not.

International Research Journal of Innovations in Engineering and TechnologyVol. 09(Special Issue ICCIS)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Software Engineering Research
DOIOpen Access PDFOpenAlex
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