Transfer Convolutional Neural Network for Cross-Project Defect Prediction
نویسندگان
چکیده
منابع مشابه
Cross-project defect prediction
Prediction of software defects works well within projects as long as there is a sufficient amount of data available to train any models. However, this is rarely the case for new software projects and for many companies. So far, only a few have studies focused on transferring prediction models from one project to another. In this paper, we study cross-project defect prediction models on a large ...
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0950-5849/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.infsof.2011.09.007 ⇑ Corresponding author. Tel.: +86 028 61830557; fa E-mail addresses: [email protected] (Y. Ma), g [email protected] (X. Zeng), [email protected] Context: Software defect prediction studies usually built models using within-company data, but very few focused on the prediction models trained with cross-company da...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9132660