詳細 | |
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題名 | Improving Accuracy of LLM-based Code Clone Detection Using Functionally Equivalent Methods |
著者 | Ryutaro Inoue |
Yoshiki Higo | |
文献 | Proceedings of the 2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA), pp. 24-27 |
種別 | 国際会議 |
日付 | 2024年6月5日 |
査読 | 査読付き |
登壇発表者 | Ryutaro Inoue |
会議の日程 | 2024年6月1日 |
会議の開催場所 | Honolulu, USA |
登録日 | 2024年6月5日 |
番号 | 1292 |
URL | https://acisinternational.org/conferences/sera-2024/ |
DOI | 10.1109/SERA61261.2024.10685589 |
学会名 | IEEE/ACIS |
ファイル | ![]() ![]() |
BibTeX | @inproceedings{sel1292, author = {Ryutaro Inoue and Yoshiki Higo}, title = {{Improving Accuracy of LLM-based Code Clone Detection Using Functionally Equivalent Methods}}, booktitle = {Proceedings of the 2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)}, pages = {24--27}, address = {Honolulu, USA}, doi = {10.1109/SERA61261.2024.10685589}, year = 2024, month = jun, } |