Search Results for author:
Found 8 papers, 4 papers with code
SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs
Large language models (LLMs) are transforming automated program repair (APR) through agent-based approaches that localize bugs, generate patches, and verify fixes.
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
Large Language Models (LLMs) have revolutionized software engineering (SE), showcasing remarkable proficiency in various coding tasks.
Rectifier: Code Translation with Corrector via LLMs
Software migration is garnering increasing attention with the evolution of software and society.
RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion
Furthermore, RepoHyper leverages Expand and Refine retrieval method, including a graph expansion and a link prediction algorithm applied to the RSG, enabling the effective retrieval and prioritization of relevant code snippets.
Better Language Models of Code through Self-Improvement
We aim to improve this issue by proposing a simple data augmentation framework.
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations
We propose a novel method for code summarization utilizing Heterogeneous Code Representations (HCRs) and our specially designed HierarchyNet.
Does BLEU Score Work for Code Migration?
In this paper, we conducted an empirical study on BLEU score to (in)validate its suitability for the code migration task due to its inability to reflect the semantics of source code.
Duplicate Bug Report Detection With a Combination of Information Retrieval and Topic Modeling
Detecting duplicate bug reports helps reduce triaging efforts and save time for developers in fixing the same issues.
