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Yu Zhao, Yi Zhu, Qiao Yu and Xiaoying Chen
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. However, in the practical realm of software developme...
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Mahesha Pandit, Deepali Gupta, Divya Anand, Nitin Goyal, Hani Moaiteq Aljahdali, Arturo Ortega Mansilla, Seifedine Kadry and Arun Kumar
DePaaS has the potential to be used as a global, shared platform for availing software defects prediction services by choosing appropriate base project, defect prediction model and prediction granularity. Over time, DePaaS can potentially become a rich s...
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Shaojian Qiu, Hao Xu, Jiehan Deng, Siyu Jiang and Lu Lu
Cross-project defect prediction (CPDP) is a practical solution that allows software defect prediction (SDP) to be used earlier in the software lifecycle. With the CPDP technique, the software defect predictor trained by labeled data of mature projects ca...
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Shengbing Ren, Wanying Zhang, Hafiz Shahbaz Munir and Lei Xia
Software defect prediction is an important means to guarantee software quality. Because there are no sufficient historical data within a project to train the classifier, cross-project defect prediction (CPDP) has been recognized as a fundamental approach...
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Shengbing Ren, Wanying Zhang, Hafiz Shahbaz Munir and Lei Xia
Software defect prediction is an important means to guarantee software quality. Because there are no sufficient historical data within a project to train the classifier, cross-project defect prediction (CPDP) has been recognized as a fundamental approach...
ver más
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