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20232026
most citedAn Empirical Study of Challenges in Machine Learning Asset Management

20 citations · 51 across the 20 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.SE2025

HAFixAgent: History-Aware Agentic Program Repair

Yu Shi, Hao Li, Bram Adams +1

Automated program repair (APR) has recently shifted toward large language models and agent-based systems, while prior work shows that repository history can help repair single-line…

cs.SE2025

OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval

Youssef Esseddiq Ouatiti, Mohammed Sayagh, Bram Adams +1

Developers insert logging statements in source code to capture relevant runtime information essential for maintenance and debugging activities. Log level choice is an integral, yet…

cs.SE2025

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository

Adekunle Ajibode, Abdul Ali Bangash, Oussama Ben Sghaier +2

Pre-trained language models (PTLMs) have transformed natural language processing (NLP), enabling major advances in tasks such as text generation and translation. Similar to softwar…

cs.SE2025

HAFix: History-Augmented Large Language Models for Bug Fixing

Yu Shi, Abdul Ali Bangash, Emad Fallahzadeh +2

Recent studies have explored the performance of Large Language Models (LLMs) on various Software Engineering (SE) tasks, such as code generation and bug fixing. However, these appr…

cs.SE2025★ 18 cited

A Large-Scale Exploratory Study on the Proxy Pattern in Ethereum

Amir M. Ebrahimi, Bram Adams, Gustavo A. Oliva +1

The proxy pattern is a well-known design pattern with numerous use cases in several sectors of the software industry. As such, the use of the proxy pattern is also a common approac…