The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Deep code comment generation with hybrid lexical and syntactical information
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
BLEU: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073135 · Cited by 21,344
A Syntactic Neural Model for General-Purpose Code Generation
Yin, P., & Neubig, G. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p17-1041 · Cited by 623
A Syntactic Neural Model for General-Purpose Code Generation
Yin, P., & Neubig, G. (2017) · arXiv · doi:10.48550/arxiv.1704.01696 · Cited by 585
Towards automatically generating summary comments for Java methods
Sridhara, G., Hill, E., Muppaneni, D., Pollock, L., & Vijay-Shanker, K. (2010) · Proceedings of the IEEE/ACM international conference on Automated software engineering · doi:10.1145/1858996.1859006 · Cited by 514
Are deep neural networks the best choice for modeling source code?
Hellendoorn, V. J., & Devanbu, P. (2017) · Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering · doi:10.1145/3106237.3106290 · Cited by 292
Supporting program comprehension with source code summarization
Haiduc, S., Aponte, J., & Marcus, A. (2010) · Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2 · doi:10.1145/1810295.1810335 · Cited by 291
Automatically documenting program changes
Buse, R. P. L., & Weimer, W. R. (2010) · Proceedings of the IEEE/ACM international conference on Automated software engineering · doi:10.1145/1858996.1859005 · Cited by 219
A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU
Chen, B., & Cherry, C. (2014) · Proceedings of the Ninth Workshop on Statistical Machine Translation · doi:10.3115/v1/w14-3346 · Cited by 191
A Survey of Machine Learning for Big Code and Naturalness
Allamanis, M., Barr, E. T., Devanbu, P., & Sutton, C. (2019) · ACM Computing Surveys · doi:10.1145/3212695 · Cited by 150
Cited by
Retrieval-based neural source code summarization
Zhang, J., Wang, X., Zhang, H., Sun, H., & Liu, X. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering · doi:10.1145/3377811.3380383 · Cited by 275
Reassessing automatic evaluation metrics for code summarization tasks
Roy, D., Fakhoury, S., & Arnaoudova, V. (2021) · Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3468264.3468588 · Cited by 106
Automatic Code Documentation Generation Using GPT-3
Khan, J. Y., & Uddin, G. (2022) · Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering · doi:10.1145/3551349.3559548 · Cited by 96
(2023) · doi:10.1145/3510003.3510060 · Cited by 88
Automating just-in-time comment updating
Liu, Z., Xia, X., Yan, M., & Li, S. (2020) · Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering · doi:10.1145/3324884.3416581 · Cited by 56
Self-citationMultilingual training for software engineering
Ahmed, T., & Devanbu, P. (2022) · Proceedings of the 44th International Conference on Software Engineering · doi:10.1145/3510003.3510049 · Cited by 57
Correlating Automated and Human Evaluation of Code Documentation Generation Quality
Hu, X., Chen, Q., Wang, H., Xia, X., Lo, D., & Zimmermann, T. (2022) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3502853 · Cited by 33
Self-citationPredictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach
Lin, B., Wang, S., Liu, Z., Xia, X., & Mao, X. (2023) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2022.3185458 · Cited by 27
Self-citation
Metadata
- Authors
- Hu, X., Li, G., Xia, X., Lo, D., & Jin, Z.
- Venue
- Empirical Software Engineering
- Published
- 2019-06-18
- Volume
- 25
- Issue
- 3
- Pages
- 2179-2217
- ISSN
- 1382-3256 (ISSN-L)
- 1573-7616
- OpenAlex
- W2949297108
- Cited by
- 278
- References
- 11
- FWCI
- 37.18
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
