Improving Accuracy of LLM-based Code Clone Detection Using Functionally Equivalent Methods

TitleImproving Accuracy of LLM-based Code Clone Detection Using Functionally Equivalent Methods
AuthorsRyutaro Inoue, Yoshiki Higo
ReferenceProceedings of the 22nd IEEE/ACIS International Conference on Software Engineering, Management and Applications (SERA 2024)
Typeinproceeding / ショートペーパー(レター)
DateJun 5, 2024
ReviewReviewed
PresenterRyutaro Inoue
Agenda of conferenceJun 1, 2024
Place of conferencehonolulu, USA
Date of registerJun 5, 2024
ID1292
URLhttps://acisinternational.org/conferences/sera-2024/
Society nameIEEE
Files
Citation
@inproceedings{2024ID1292,
	author = {Inoue, Ryutaro and Higo, Yoshiki},
	booktitle = {Proceedings of the 22nd {IEEE}/{ACIS} {International} {Conference} on {Software} {Engineering}, {Management} and {Applications} ({SERA} 2024)},
	year = {2024},
	month = {jun 5},
	title = {Improving {Accuracy} of {LLM}-based {Code} {Clone} {Detection} {Using} {Functionally} {Equivalent} {Methods}},
}