CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

Author:

Eghbali Aryaz1ORCID,Pradel Michael1ORCID

Affiliation:

1. University of Stuttgart, Germany

Funder

European Research Council

Publisher

ACM

Reference56 articles.

1. A Survey of Machine Learning for Big Code and Naturalness

2. Uri Alon , Shaked Brody , Omer Levy , and Eran Yahav . 2019 . code2seq: Generating Sequences from Structured Representations of Code . In 7th International Conference on Learning Representations, ICLR 2019 , New Orleans, LA, USA , May 6-9, 2019. https://openreview.net/forum?id=H1gKYo09tX Uri Alon, Shaked Brody, Omer Levy, and Eran Yahav. 2019. code2seq: Generating Sequences from Structured Representations of Code. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. https://openreview.net/forum?id=H1gKYo09tX

3. Uri Alon Meital Zilberstein Omer Levy and Eran Yahav. 2018. A General Path-Based Representation for Predicting Program Properties. In PLDI. Uri Alon Meital Zilberstein Omer Levy and Eran Yahav. 2018. A General Path-Based Representation for Predicting Program Properties. In PLDI.

4. Gareth Ari Aye and Gail E. Kaiser. 2020. Sequence Model Design for Code Completion in the Modern IDE. CoRR abs/2004.05249(2020). arxiv:2004.05249https://arxiv.org/abs/2004.05249 Gareth Ari Aye and Gail E. Kaiser. 2020. Sequence Model Design for Code Completion in the Modern IDE. CoRR abs/2004.05249(2020). arxiv:2004.05249https://arxiv.org/abs/2004.05249

5. Extending the BLEU MT evaluation method with frequency weightings

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