Name
Abstract | ||
|---|---|---|
Software defect prediction (SDP) technology is receiving widely attention and most of SDP models are trained on data from the same project. However, at an early phase of the software lifecycle, there are little to no within-project training data to learn an available supervised defect-prediction model. Thus, cross-project defect prediction (CPDP), which is learning a defect predictor for a target ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-sen.2017.0111 | IET Software |
Keywords | DocType | Volume |
learning (artificial intelligence),software quality | Journal | 12 |
Issue | ISSN | Citations |
4 | 1751-8806 | 2 |
PageRank | References | Authors |
0.36 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaojian Qiu | 1 | 8 | 3.80 |
| Lu Lu | 2 | 13 | 9.68 |
| Siyu Jiang | 3 | 4 | 2.41 |