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Predicting the precise number of software defects: Are we there yet?

, , , , , и . Inf. Softw. Technol., (2022)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

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Checkpointing-aware Data Allocation for Energy Harvesting Powered Non-volatile Processors., , и . NVMSA, стр. 1-6. IEEE, (2019)On the relative value of imbalanced learning for code smell detection., , , , , и . Softw. Pract. Exp., 53 (10): 1902-1927 (октября 2023)A smart access control mechanism based on user preference in online social networks., , и . Concurr. Comput. Pract. Exp., (2023)G3MBench: A Graph-Based Benchmark Suite for Memory Management on Microcontrollers., , и . CIT, стр. 185-191. IEEE Computer Society, (2012)NVLH: Crash-Consistent Linear Hashing for Non-Volatile Memory., , , , , и . NVMSA, стр. 117-118. IEEE, (2018)Finding the best learning to rank algorithms for effort-aware defect prediction., , , , , , , и . Inf. Softw. Technol., (мая 2023)Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study., , , , , , и . Internetware, ACM, (2024)Predicting the precise number of software defects: Are we there yet?, , , , , и . Inf. Softw. Technol., (2022)Revisiting 'revisiting supervised methods for effort-aware cross-project defect prediction'., , , , , и . IET Softw., 17 (4): 472-495 (августа 2023)C3: Cooperative Code Positioning and Cache Locking for WCET Minimization., , и . RTCSA, стр. 51-59. IEEE Computer Society, (2015)