A new weighted naive Bayes method based on information diffusion for software defect prediction

Haijin Ji; Song Huang; Yaning Wu; Zhanwei Hui; Changyou Zheng

doi:10.1007/s11219-018-9436-4

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A new weighted naive Bayes method based on information diffusion for software defect prediction

Haijin Ji Song Huang Yaning Wu Zhanwei Hui Changyou Zheng

Year: 2019 Journal: Software Quality Journal Vol: 27 (3)Pages: 923-968 Publisher: Springer Science+Business Media

DOI: 10.1007/s11219-018-9436-4

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Keywords:

Naive Bayes classifier Computer science Classifier (UML) Software Data mining Machine learning Artificial intelligence Bayes' theorem Bayes classifier Feature (linguistics) Prior probability Probability distribution Pattern recognition (psychology) Algorithm Mathematics Bayesian probability Statistics Support vector machine

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software Testing and Debugging Techniques

Physical Sciences → Computer Science → Software

A new weighted naive Bayes method based on information diffusion for software defect prediction

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