SVM with Feature Selection and Extraction Techniques for Defect-Prone Software Module Prediction

R. Ravi Kumar; Krishna Pratap Singh

doi:10.1007/978-981-10-3325-4_28

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SVM with Feature Selection and Extraction Techniques for Defect-Prone Software Module Prediction

R. Ravi Kumar Krishna Pratap Singh

Year: 2017 Advances in intelligent systems and computing Pages: 279-289 Publisher: Springer Nature

DOI: 10.1007/978-981-10-3325-4_28

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Keywords:

Principal component analysis Kernel principal component analysis Support vector machine Pattern recognition (psychology) Feature selection Artificial intelligence Computer science Feature extraction Kernel (algebra) Selection (genetic algorithm) Data mining Software Kernel method Mathematics

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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

SVM with Feature Selection and Extraction Techniques for Defect-Prone Software Module Prediction

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