An Empirical Study on Spectral Clustering-based Software Defect Detection
2021 8th International Conference on Dependable Systems and Their Applications (DSA)(2021)
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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