A practical tool for detecting cross-language code pairs with similar control structures

Author:

Dai Feng1ORCID,Chiba Shigeru1ORCID

Affiliation:

1. The University of Tokyo, Tokyo, Japan

Funder

JSPS KAKENHI

Publisher

ACM

Reference16 articles.

1. Detecting Clones Across Microsoft .NET Programming Languages

2. Miltiadis Allamanis, Hao Peng, and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. In International Conference on Machine Learning. PMLR, 2091--2100.

3. code2vec: learning distributed representations of code

4. CLCMiner: Detecting Cross-Language Clones without Intermediates

5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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