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View all- Stradowski SMadeyski L(2023)Industrial applications of software defect prediction using machine learningInformation and Software Technology10.1016/j.infsof.2023.107192159:COnline publication date: 1-Jul-2023
Software defect prediction is an active research area in software engineering. Accurate prediction of software defects assists software engineers in guiding software quality assurance activities. In machine learning, ensemble learning has been proven to ...
During the last 10 years, hundreds of different defect prediction models have been published. The performance of the classifiers used in these models is reported to be similar with models rarely performing above the predictive performance ceiling of ...
Software defect prediction is one of the most popular research topics in software engineering. It aims to predict defect‐prone software modules before defects are discovered, therefore it can be used to better prioritise software quality assurance effort. ...
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