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Which Is More Important for Cross-Project Defect Prediction: Instance or Feature?

, , и . SATE, стр. 90-95. IEEE, (2016)

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Qiu Jiang

Ping Jiang

Jiang Yi

Xin Jiang

Kaiyun Jiang

 

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A Novel Class-Imbalance Learning Approach for Both Within-Project and Cross-Project Defect Prediction., , , , и . IEEE Trans. Reliability, 69 (1): 40-54 (2020)并发缺陷检测技术研究进展 (Research Progress on Techniques for Concurrency Bug Detection)., , , , и . 计算机科学, 46 (5): 13-20 (2019)Test data generation approach for basis path coverage., , и . ACM SIGSOFT Softw. Eng. Notes, 37 (3): 1-7 (2012)Which Is More Important for Cross-Project Defect Prediction: Instance or Feature?, , и . SATE, стр. 90-95. IEEE, (2016)An Automatic Localization Tool for Null Pointer Exceptions., , , , , и . IEEE Access, (2019)Improving the Accuracy of Spectrum-Based Fault Localization Using Multiple Rules., , , и . IEICE Trans. Inf. Syst., 103-D (6): 1328-1338 (2020)An Integration Test Order Strategy to Consider Control Coupling., , , , , и . CoRR, (2021)Progress on class integration test order generation approaches: A systematic literature review., , , , и . Inf. Softw. Technol., (апреля 2023)Evolutionary approach to generating test data for data flow test., , , , , и . IET Softw., 12 (4): 318-323 (2018)A Hybrid Multiple Models Transfer Approach for Cross-Project Software Defect Prediction., , и . Int. J. Softw. Eng. Knowl. Eng., 33 (3): 343-374 (марта 2023)