Heterogeneous Defect Prediction Based on Federated Prototype Learning
A Wang, L Yang, H Wu, Y Iwahori - IEEE Access, 2023 - ieeexplore.ieee.org
Software defect prediction is used to identify modules in software projects that may have
defects. Heterogeneous Defect Prediction (HDP) establishes a cross project defect …
defects. Heterogeneous Defect Prediction (HDP) establishes a cross project defect …
Heterogeneous defect prediction with two-stage ensemble learning
Heterogeneous defect prediction (HDP) refers to predicting defect-prone software modules
in one project (target) using heterogeneous data collected from other projects (source) …
in one project (target) using heterogeneous data collected from other projects (source) …
Unsupervised deep domain adaptation for heterogeneous defect prediction
Heterogeneous defect prediction (HDP) is to detect the largest number of defective software
modules in one project by using historical data collected from other projects with different …
modules in one project by using historical data collected from other projects with different …
Heterogeneous defect prediction based on federated reinforcement learning via gradient clustering
A Wang, Y Zhao, G Li, J Zhang, H Wu, Y Iwahori - IEEE Access, 2022 - ieeexplore.ieee.org
Heterogeneous defect prediction (HDP) refers to using heterogeneous data collected by
other projects to build a defect prediction model to predict the software defects in a project …
other projects to build a defect prediction model to predict the software defects in a project …
Heterogeneous defect prediction through correlation-based selection of multiple source projects and ensemble learning
Heterogeneous defect prediction (HDP) predicts defect-prone modules when the source and
target data have heterogeneous metric sets. Although several researchers have tried to …
target data have heterogeneous metric sets. Although several researchers have tried to …
A novel feature selection approach based on binary particle swarm optimization and ensemble learning for heterogeneous defect prediction
Software defect prediction is an integral part of the software development process. Defect
prediction helps focus on the grey areas beforehand, thus saving the considerable amount …
prediction helps focus on the grey areas beforehand, thus saving the considerable amount …
Kernel spectral embedding transfer ensemble for heterogeneous defect prediction
H Tong, B Liu, S Wang - IEEE Transactions on Software …, 2019 - ieeexplore.ieee.org
Cross-project defect prediction (CPDP) refers to predicting defects in the target project
lacking of defect data by using prediction models trained on the historical defect data of …
lacking of defect data by using prediction models trained on the historical defect data of …
Collective transfer learning for defect prediction
Most software defect prediction approaches require extensive data from the project under
test for training. However, for a new project, enough training data is often not available. It is …
test for training. However, for a new project, enough training data is often not available. It is …
Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction
Cross-project defect prediction (CPDP) refers to predicting defects in a target project using
prediction models trained from historical data of other source projects. And CPDP in the …
prediction models trained from historical data of other source projects. And CPDP in the …
Joint Instance and Feature Adaptation for Heterogeneous Defect Prediction
Y Ren, B Liu, S Wang - IEEE Transactions on Reliability, 2023 - ieeexplore.ieee.org
Heterogeneous defect prediction (HDP) predicts defects for the current project (target) using
heterogeneous data from other projects (source), which can improve software quality …
heterogeneous data from other projects (source), which can improve software quality …
相关搜索
- ensemble learning defect prediction
- federated reinforcement defect prediction
- cross project defect prediction
- feature adaptation defect prediction
- collective transfer defect prediction
- joint instance defect prediction
- gradient clustering defect prediction
- correlation analysis defect prediction
- prototype learning defect prediction
- transfer ensemble defect prediction
- transfer kernel defect prediction
- domain adaptation defect prediction