MASTER: multi-source transfer weighted ensemble learning for multiple sources cross-project defect prediction

H Tong, D Zhang, J Liu, W **ng, L Lu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-source cross-project defect prediction (MSCPDP) attempts to transfer defect
knowledge learned from multiple source projects to the target project. MSCPDP has drawn …

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 …

A study on cross-project fault prediction through resampling and feature reduction along with source projects selection

P Manchala, M Bisi - Automated Software Engineering, 2024 - Springer
Abstract Software Fault Prediction is an efficient strategy to improve the quality of software
systems. In reality, there won't be adequate software fault data for a recently established …

[HTML][HTML] MSCPDPLab: A MATLAB toolbox for transfer learning based multi-source cross-project defect prediction

J Zou, Z Li, X Liu, H Tong - SoftwareX, 2023 - Elsevier
Software defect prediction (SDP) plays an important role in allocating testing resources and
improving testing efficiency. Multi-source cross-project defect prediction (MSCPDP) based …

An empirical study on multi-source cross-project defect prediction models

X Liu, Z Li, J Zou, H Tong - 2022 29th Asia-Pacific Software …, 2022 - ieeexplore.ieee.org
Multi-source cross-project defect prediction (MSCPDP) refers to transferring defect
knowledge from multiple source projects to the target project. MSCPDP has drawn …