Cross-Project Software Defect Prediction Based on Feature Selection and Transfer Learning
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-62463-7_33
Reference14 articles.
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3. Xia, X., et al.: HYDRA: massively compositional model for cross-project defect prediction. IEEE Trans. Softw. Eng. 42, 977–998 (2016)
4. He, Z., et al.: An investigation on the feasibility of cross-project defect prediction. Autom. Softw. Eng. 19(2), 167–199 (2012)
5. Hall, T., et al.: A systematic literature review on fault prediction performance in software engineering. IEEE Trans. Softw. Eng. 38, 1276–1304 (2012)
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