MELT: Mining Effective Lightweight Transformations from Pull Requests-Reference-Cited by-同舟云学术

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MELT: Mining Effective Lightweight Transformations from Pull Requests

Published:2023-09-11 Issue: Volume: Page:
ISSN:
Container-title:2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
language:
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Author:

Ramos Daniel¹,Mitchell Hailie²,Lynce Inês³,Manquinho Vasco³,Martins Ruben⁴,Goues Claire Le⁴

Affiliation:

1. School of Computer Science, INESC-ID Carnegie Mellon University,USA

2. Dickinson College,Computer Science Department,USA

3. INESC-ID, Instituto Superior Técnico, Universidade de Lisboa,Portugal

4. School of Computer Science, Carnegie Mellon University,USA

Funder

US National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10298258/10298286/10298355.pdf?arnumber=10298355

Reference57 articles.

1. IntelliTC

2. SOAR: A Synthesis Approach for Data Science API Refactoring

3. Systematic editing

4. Meditor: Inference and Application of API Migration Edits

5. APIMigrator

Cited by 2 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. Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example;Proceedings of the ACM on Software Engineering;2024-07-12

2. BatFix: Repairing language model-based transpilation;ACM Transactions on Software Engineering and Methodology;2024-06-27

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