JCoffee: Using Compiler Feedback to Make Partial Code Snippets Compilable
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9240597/9240598/09240636.pdf?arnumber=9240636
Cited by 9 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. Ask Me Any Type: Type Inference Plugin for Partial Code on the Web and in the Integrated Development Environment;Wuhan University Journal of Natural Sciences;2024-08
2. FQN Inference in Partial Code by Prompt-tuned Language Model of Code;ACM Transactions on Software Engineering and Methodology;2023-12-21
3. SJBCD: A Java Code Clone Detection Method Based on Bytecode Using Siamese Neural Network;Applied Sciences;2023-08-24
4. MulCS: Towards a Unified Deep Representation for Multilingual Code Search;2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2023-03
5. Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10
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