Building Defect Prediction Models by Online Learning Considering Defect Overlooking
Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model while adding new data points. However, a module predicted as “non-defective” can result in fewer test cases for such modules. Thus, a defective module can be ov...
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Veröffentlicht in: | IEICE Transactions on Information and Systems 2024, pp.2024MPL0001 |
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