Optimizing Software Fault Prediction using Voting Ensembles in Class Imbalance Scenarios

Mehta Ashu; Amandeep Kaur; Navdeep Kaur

doi:10.23940/ijpe.24.11.p4.676687

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JOURNAL ARTICLE

Optimizing Software Fault Prediction using Voting Ensembles in Class Imbalance Scenarios

Mehta Ashu Amandeep Kaur Navdeep Kaur

Year: 2024 Journal: International Journal of Performability Engineering Vol: 20 (11)Pages: 676-676 Publisher: Totem Publisher

DOI: 10.23940/ijpe.24.11.p4.676687

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Keywords:

Voting Computer science Software Class (philosophy) Fault (geology) Machine learning Software bug Data mining Artificial intelligence Reliability engineering Engineering Geology Seismology Programming language

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Software System Performance and Reliability

Physical Sciences → Computer Science → Computer Networks and Communications

Optimizing Software Fault Prediction using Voting Ensembles in Class Imbalance Scenarios

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