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Evaluating the conventional wisdom in clone removal: A genealogy-based empirical study, , , и . Proceedings of the 28th Annual ACM Symposium on Applied Computing, стр. 1123?1130. (2013)Toward understanding the causes of unanswered questions in software information sites: a case study of stack overflow., , и . ESEC/SIGSOFT FSE, стр. 663-666. ACM, (2013)Restoring the Executability of Jupyter Notebooks by Automatic Upgrade of Deprecated APIs., , , и . ASE, стр. 240-252. IEEE, (2021)Fuzz testing based data augmentation to improve robustness of deep neural networks., , , и . ICSE, стр. 1147-1158. ACM, (2020)Evaluating Code Clone Genealogies at Release Level: An Empirical Study., , , , и . SCAM, стр. 87-96. IEEE Computer Society, (2010)A discriminative model approach for suggesting tags automatically for stack overflow questions., , и . MSR, стр. 73-76. IEEE Computer Society, (2013)Visualizing the evolution of code clones, , и . Proceedings of the 5th International Workshop on Software Clones, стр. 71?72. (2011)Genealogical insights into the facts and fictions of clone removal, , , и . ACM SIGAPP Applied Computing Review, 13 (4): 30?42 (2013)Harnessing evolution for multi-hunk program repair., , и . ICSE, стр. 13-24. IEEE / ACM, (2019)Bugs.jar: a large-scale, diverse dataset of real-world Java bugs., , , , и . MSR, стр. 10-13. ACM, (2018)