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Predicting Software Defects with Smart Ensemble Learning Techniques

Year: 2025

Type: article

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.

Source: International Research Journal of Innovations in Engineering and Technology

DOI: 10.47001/irjiet/2025.iccis-202519

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4411467143

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