File-level defect prediction: Unsupervised vs. supervised models
Background: Software defect models can help software quality assurance teams to allocate testing or code review resources. A variety of techniques have been used to build defect prediction models, including supervised and unsupervised methods. Recently, Yang et al. [1] surprisingly find that unsuper...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/3923 https://ink.library.smu.edu.sg/context/sis_research/article/4925/viewcontent/esem17.pdf |
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| Institution: | Singapore Management University |
| Language: | English |