Exploring and unleashing the power of large language models in automated code translation

Z Yang, F Liu, Z Yu, JW Keung, J Li, S Liu… - Proceedings of the …, 2024 - dl.acm.org
Code translation tools, namely transpilers, are developed for automatic source-to-source
translation. Latest learning-based transpilers have shown impressive enhancement against …

A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation

S Simon, A Mailach, J Dorn, N Siegmund - arxiv preprint arxiv …, 2024 - arxiv.org
Retrieval-augmented generation (RAG) is an umbrella of different components, design
decisions, and domain-specific adaptations to enhance the capabilities of large language …

Understanding Code Changes Practically with Small-Scale Language Models

C Li, Z Xu, P Di, D Wang, Z Li, Q Zheng - Proceedings of the 39th IEEE …, 2024 - dl.acm.org
Recent studies indicate that traditional techniques for understanding code changes are not
as effective as techniques that directly prompt language models (LMs). However, current LM …

TerGEC: A graph enhanced contrastive approach for program termination analysis

S Liu, JW Keung, Z Yang, Y Liao, Y Li - Science of Computer Programming, 2024 - Elsevier
Context Programs with non-termination behavior induce various bugs, such as denial-of-
service vulnerability and memory exhaustion. Hence the ability to detect non-termination …

An Empirical Study on Learning-based Techniques for Explicit and Implicit Commit Messages Generation

Z Huang, Y Huang, X Chen, X Zhou, C Yang… - Proceedings of the 39th …, 2024 - dl.acm.org
High-quality and appropriate commit messages help developers to quickly understand and
track code evolution, which is crucial for the collaborative development and maintenance of …

RAG-Enhanced Commit Message Generation

L Zhang, H Zhang, C Wang, P Liang - arxiv preprint arxiv:2406.05514, 2024 - arxiv.org
Commit message is one of the most important textual information in software development
and maintenance. However, it is time-consuming and labor-intensive to write commit …

LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement

M Assi, S Hassan, Y Zou - arxiv preprint arxiv:2409.15724, 2024 - arxiv.org
The exponential growth of the mobile app market underscores the importance of constant
innovation and rapid response to user demands. As user satisfaction is paramount to the …

Escalating LLM-based Code Translation Benchmarking into the Class-level Era

P Xue, L Wu, C Wang, X Li, Z Yang, R **… - arxiv preprint arxiv …, 2024 - arxiv.org
In recent years, Large Language Models (LLMs) have significantly improved automated
code translation, often achieving over 80% accuracy on existing benchmarks. However …

Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs

N Dhulshette, S Shah, V Kulkarni - arxiv preprint arxiv:2501.07857, 2025 - arxiv.org
In large-scale software development, understanding the functionality and intent behind
complex codebases is critical for effective development and maintenance. While code …

Generating Commit Messages for Configuration Files in 5G Network Deployment Using LLMs

Y Beining, S Alassane, F Guillaume… - 2024 20th International …, 2024 - ieeexplore.ieee.org
Network automation is crucial for improving network performance. Commit messages
describes the different actions of the modification of network configuration files and …