Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics

David Gray; David Bowes; Neil Davey; Yi Sun; Bruce Christianson

doi:10.1007/978-3-642-03969-0_21

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Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics

David Gray David Bowes Neil Davey Yi Sun Bruce Christianson

Year: 2009 Communications in computer and information science Pages: 223-234 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-03969-0_21

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Keywords:

Support vector machine Computer science Software Classifier (UML) Data mining Code (set theory) Structured support vector machine Artificial intelligence Programming language Set (abstract data type)

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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

Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics

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Citation History

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