Development of Homogenous Cross-Project Defect Prediction Model Using Artificial Neural Network
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23724-9_19
Reference10 articles.
1. Lecture Notes in Computer Science;AO Balogun,2020
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3. Amasaki, S., Aman, H., Yokogawa, T.: An extended study on applicability and performance of homogeneous cross-project defect prediction approaches under homogeneous cross-company effort estimation situation. Empir. Softw. Eng. 27(2), 1–29 (2022). https://doi.org/10.1007/s10664-021-10103-4
4. Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22, 1345–1359 (2010). https://doi.org/10.1109/tkde.2009.191
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