Software Defect Prediction using Unsupervised methods
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 107 === Software defect prediction aims to assess software quality by using machine learning techniques. Zhang et al. [1] proposed to apply connectivity-based unsupervised learning method, which is spectral clustering. In their results, they got impressive performan...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/36v8v7 |