An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction [PDF]
Sensors, 2021 Ranking-oriented cross-project defect prediction (ROCPDP), which ranks software modules of a new target industrial project based on the predicted defect number or density, has been suggested in the literature.
Haoyu Luo +4 more
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Improving Cross-Project Software Defect Prediction Method Through Transformation and Feature Selection Approach [PDF]
IEEE Access, 2023 In the traditional software defect prediction methodology, the historical record (dataset) of the same project is partitioned into training and testing data.
Yahaya Zakariyau Bala +3 more
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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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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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Within-project and cross-project defect prediction based on model averaging [PDF]
Scientific ReportsSoftware defect prediction has an important impact on the national economy and financial service industry. Discovering defective modules in the early stage of software development has great significance.
Tong Li, Zhong Wang, Peibei Shi
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A Survey on Transfer Learning for Cross-Project Defect Prediction
IEEE AccessSoftware defect prediction involves predicting which components in a software program, like classes or functions, are likely to have defects, based on metrics that describe those components.
Bruno Sotto-Mayor, Meir Kalech
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A Novel Cross-Project Software Defect Prediction Algorithm Based on Transfer Learning
Tsinghua Science and Technology, 2022 Software Defect Prediction (SDP) technology is an effective tool for improving software system quality that has attracted much attention in recent years. However, the prediction of cross-project data remains a challenge for the traditional SDP method due
Shiqi Tang +5 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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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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