An Empirical Study on Spectral Clustering-based Software Defect Detection

2021 8th International Conference on Dependable Systems and Their Applications (DSA)(2021)

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摘要
Software defect detection is essential in software development. Most existing approaches often apply Supervised Machine Learning (SML) techniques for software defect detection. However, SML techniques need to a large number of manual labelling for model training, which is time-consuming and laborious. An alternative solution is to apply UnSupervised Machine Learning (USML) in software defect detec...
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关键词
Training,Measurement,Machine learning algorithms,Software algorithms,Clustering algorithms,Machine learning,Manuals
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