An Empirical Study for Enhanced Software Defect Prediction Using a Learning-Based Framework
The object of software defect prediction (SDP) is to identify defect-prone modules. This is achieved through constructing prediction models using datasets obtained by mining software historical depositories. However, data mined from these depositories are often associated with high dimensionality, c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2018-11-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125905638/view |