Senatus
Author:
Affiliation:
1. JPMorgan Chase, London, United Kingdom
2. JPMorgan Chase, Glasgow, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3524842.3527947
Reference59 articles.
1. A Survey of Machine Learning for Big Code and Naturalness
2. code2vec: learning distributed representations of code
3. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
4. Analyzing and mining a code search engine usage log
5. Query by example in large-scale code repositories
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1. Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19
2. Context-based Python Code Recommendation;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12
3. DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12
4. Deduplicating and Ranking Solution Programs for Suggesting Reference Solutions;Proceedings of the 2023 4th Asia Service Sciences and Software Engineering Conference;2023-10-27
5. Improving Code Search with Multi-Modal Momentum Contrastive Learning;2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC);2023-05
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