Cross-project defect prediction (CPDP) aims to predict software defects in a target project
domain by leveraging information from different source project domains, allowing testers to …

Heterogeneous cross-project defect prediction (HCPDP) aims to predict defects in new
software projects using defect data from previous software projects where the source and …

Abstract Cross-Project Defect Prediction (CPDP) is an attractive topic for locating defects in
projects with little labeled data (target projects) by using the prediction model from other …

在实际软件开发中, 需要进行缺陷预测的项目可能是一个新启动项目, 或者这个项目的历史训练
数据较为稀缺. 一种解决方案是利用其他项目 (即源项目) 已搜集的训练数据来构建模型 …

Cross-project defect prediction (CPDP) is a promising technical means to solve the problem
of insufficient training data in software defect prediction. As a special case of CPDP …

Cross-project defect prediction (CPDP) is a hot research topic in recent years. The
inconsistent data distribution between source and target projects and lack of labels for most …

Software testing is the main method for finding software defects at present, and symmetric
testing and other methods have been widely used, but these testing methods will cause a lot …

Cross‐project defect prediction (CPDP) is an important research direction in software defect
prediction. Traditional CPDP methods based on hand‐crafted features ignore the semantic …

Software defect prediction is critical for improving software quality and reducing
maintenance costs. In recent years, Cross-Project software defect prediction has garnered …

Effort‐aware cross‐project defect prediction (EACPDP), which uses cross‐project software
modules to build a model to rank within‐project software modules based on the defect …