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

DOI10.1007/978-3-642-03969-0_21zbMath1186.68364OpenAlexW150336312MaRDI QIDQ3405742

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Publication date: 11 February 2010

Published in: Engineering Applications of Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-03969-0_21

zbMATH Keywords

support vector machine classifierstatic code metrics

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Search-based cost-sensitive hypergraph learning for anomaly detection

Uses Software

• LIBSVM

Cites Work

• Using pre \& post-processing methods to improve binding site predictions
• A Complexity Measure
• Unnamed Item

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