An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization

Sunjae Kwon; Duksan Ryu; Jongmoon Baik

doi:10.1007/s11219-023-09624-6

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An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization

Sunjae Kwon Duksan Ryu Jongmoon Baik

Year: 2023 Journal: Software Quality Journal Vol: 31 (4)Pages: 1009-1044 Publisher: Springer Science+Business Media

DOI: 10.1007/s11219-023-09624-6

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Keywords:

Transformation (genetics) Computer science Model transformation Data transformation Reliability engineering Data mining Engineering Artificial intelligence Data warehouse

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software Engineering Techniques and Practices

Physical Sciences → Computer Science → Information Systems

An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization

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Citation History

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