Software Defect Prediction Method Based on Cost-Sensitive Random Forest

Weidong Zhao; Shengdong Zhang; Ming Wang

doi:10.1007/978-3-031-03948-5_30

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Software Defect Prediction Method Based on Cost-Sensitive Random Forest

Weidong Zhao Shengdong Zhang Ming Wang

Year: 2022 IFIP advances in information and communication technology Pages: 369-381 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-03948-5_30

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Keywords:

Random forest Computer science Decision tree Data mining Preprocessor Software Voting Sample (material) Data pre-processing Measure (data warehouse) Statistics Artificial intelligence Mathematics

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software Defect Prediction Method Based on Cost-Sensitive Random Forest

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Citation History

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