DSFM: Enhancing Functional Code Clone Detection with Deep Subtree Interactions
Author:
Affiliation:
1. Tsinghua University, Beijing, China
2. Chongqing University, Chongqing, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Industrial Technology Infrastructure Public Service Platform Project of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3597503.3639215
Reference58 articles.
1. Understanding of a convolutional neural network
2. Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2017. Learning to represent programs with graphs. In Proceedings of the International Conference on Learning Representations (ICLR).
3. Uri Alon, Shaked Brody, Omer Levy, and Eran Yahav. 2019. code2seq: Generating sequences from structured representations of code. In Proceedings of the International Conference on Learning Representations (ICLR).
4. code2vec: learning distributed representations of code
5. Clone detection using abstract syntax trees
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