Transfer Convolutional Neural Network for Cross-Project Defect Prediction
Applied Sciences, 2019 Cross-project defect prediction (CPDP) is a practical solution that allows software defect prediction (SDP) to be used earlier in the software lifecycle.
Shaojian Qiu +4 more
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Improving transfer learning for software cross-project defect prediction [PDF]
Applied IntelligenceAbstractSoftware cross-project defect prediction (CPDP) makes use of cross-project (CP) data to overcome the lack of data necessary to train well-performing software defect prediction (SDP) classifiers in the early stage of new software projects. Since the CP data (known as the source) may be different from the new project’s data (known as the target),
Osayande Pascal Omondiagbe +2 more
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A privacy-preserving federated meta-learning framework for cross-project defect prediction in software systems. [PDF]
Sci RepPotharlanka JL, Shaik KY, N BK.
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Simplification of Training Data for Cross-Project Defect Prediction [PDF]
, 2014 Cross-project defect prediction (CPDP) plays an important role in estimating the most likely defect-prone software components, especially for new or inactive projects. To the best of our knowledge, few prior studies provide explicit guidelines on how to select suitable training data of quality from a large number of public software repositories.
Peng He +3 more
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Cross-project defect prediction with meta-Learning [PDF]
, 2018 Faimison Rodrigues Porto
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Cross-project software defect prediction through multiple learning
Bulletin of Electrical Engineering and InformaticsCross-project defect prediction is a method that predicts defects in one software project by using the historical record of another software project. Due to distribution differences and the weak classifier used to build the prediction model, this method has poor prediction performance.
Yahaya Zakariyau Bala +3 more
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Prediction of Cross Project Defects using Ensemble based Multinomial Classifier [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 BACKGROUND: The availability of defect related data of different projects leads to cross project defect prediction an open issue. Many studies have focused on analyzing and improving the performance of Cross project defect prediction.OBJECTIVE: The ...
Lipika Goel +3 more
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Cross-Project Defect Prediction Method Based on Instance Filtering and Transfer [PDF]
Jisuanji gongcheng, 2020 In cross-project software defect prediction,original datasets collected and labeled by humans are often corrupted by noisy,and large distribution differences exist between data of the source project and target project.To address the problem,this paper ...
FAN Guisheng, DIAO Xuyang, YU Huiqun, CHEN Liqiong
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Cross-Project Defect Prediction Method Based on Manifold Feature Transformation
Future Internet, 2021 Traditional research methods in software defect prediction use part of the data in the same project to train the defect prediction model and predict the defect label of the remaining part of the data.
Yu Zhao, Yi Zhu, Qiao Yu, Xiaoying Chen
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Impact of Hyperparameter Optimization on Cross-Version Defect Prediction: An Empirical Study [PDF]
Jisuanji kexue yu tansuo, 2023 In the field of machine learning, hyperparameters are one of the key factors that affect prediction performance. Previous studies have shown that optimizing hyperparameters can improve the performance of inner-version defect prediction and cross-project ...
HAN Hui, YU Qiao, ZHU Yi
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