Software Defect Prediction Using Principal Component Analysis and Naïve Bayes Algorithm

N. Dhamayanthi; B. Lavanya

doi:10.1007/978-981-13-6459-4_24

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Software Defect Prediction Using Principal Component Analysis and Naïve Bayes Algorithm

N. Dhamayanthi B. Lavanya

Year: 2019 Lecture notes on data engineering and communications technologies Pages: 241-248 Publisher: Springer International Publishing

DOI: 10.1007/978-981-13-6459-4_24

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Keywords:

Principal component analysis Dimensionality reduction Computer science Software Naive Bayes classifier Machine learning Data mining Key (lock) Algorithm Software development Bayes' theorem Curse of dimensionality Artificial intelligence Software bug Predictive modelling Bayesian probability Support vector machine Operating system

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software System Performance and Reliability

Physical Sciences → Computer Science → Computer Networks and Communications

Software Defect Prediction Using Principal Component Analysis and Naïve Bayes Algorithm

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