NIL: large-scale detection of large-variance clones

Author:

Nakagawa Tasuku1,Higo Yoshiki1ORCID,Kusumoto Shinji1

Affiliation:

1. Osaka University, Japan

Funder

MEXT/JSPS

Publisher

ACM

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection;Proceedings of the ACM on Software Engineering;2024-07-12

2. Software vulnerability detection method based on code attribute graph presentation and Bi-LSTM neural network extraction;International Conference on Computer Network Security and Software Engineering (CNSSE 2024);2024-06-06

3. Dataset of Functionally Equivalent Java Methods and Its Application to Evaluating Clone Detection Tools;IEICE Transactions on Information and Systems;2024-06-01

4. SICode: Embedding-Based Subgraph Isomorphism Identification for Bug Detection;Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension;2024-04-15

5. Machine Learning is All You Need: A Simple Token-based Approach for Effective Code Clone Detection;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

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