A DEEP ENSEMBLE LEARNING METHOD FOR EFFORT-AWARE JUST-IN-TIME DEFECT PREDICTION
Since the introduction of Just-in-Time effort aware defect prediction, many researchers are focusing on evaluating the different learning methods for defect prediction. To predict the changes that are defect-inducing, it is im-portant for learning model to consider the nature of the dataset, its imb...
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2020-09-01
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| Series: | Applied Computer Science |
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| Online Access: | http://acs.pollub.pl/pdf/v16n3/1.pdf |