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The code written by developers usually suffers from efficiency problems and contain various performance bugs.
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2024
Closest in time.
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2024
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Y. Peng, S. Gao, C. Gao, Y. Huo, and M. R. Lyu, “Domain knowledge matters: Improving prompts with fix templates for repairing python type errors,” in Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, ICSE 2024, Lisbon, Portugal, April 14-20, 2024 . ACM, 2024, pp. 4:1–4:13
2024
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S. Gao, W. Mao, C. Gao, L. Li, X. Hu, X. Xia, and M. R. Lyu, “Learning in the wild: Towards leveraging unlabeled data for effectively tuning pre-trained code models,” in Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, ICSE 2024, Lisbon, Portugal, April 14-20, 2024 . ACM, 2024, pp. 80:1–80:13
2024
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H. Ye and M. Monperrus, “ITER: iterative neural repair for multi-location patches,” in Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, ICSE 2024, Lisbon, Portugal, April 14-20, 2024 . ACM, 2024, pp. 10:1–10:13
2024
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