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Found 7 papers, 3 papers with code
Multilingual Code Co-Evolution Using Large Language Models
In this paper, we target a novel task: translating code changes from one programming language to another using large language models (LLMs).
CoditT5: Pretraining for Source Code and Natural Language Editing
Pretrained language models have been shown to be effective in many software-related generation tasks; however, they are not well-suited for editing tasks as they are not designed to reason about edits.
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft
Code review is an integral part of any mature software development process, and identifying the best reviewer for a code change is a well-accepted problem within the software engineering community.
Impact of Evaluation Methodologies on Code Summarization
This may lead to evaluations that are inconsistent with the intended use cases.
Deep Metric Learning Model for Imbalanced Fault Diagnosis
The reasonable combination of quadruplet loss and softmax loss function can reduce the impact of imbalance.
Learning to Generate Code Comments from Class Hierarchies
Descriptive code comments are essential for supporting code comprehension and maintenance.
Leveraging Class Hierarchy for Code Comprehension
Object-oriented programming languages enable a hierarchical class structure, which provides rich contextual information to guide code comprehension and synthesis.
