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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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cs.SE2026

When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face

Adekunle Ajibode, Oussama Ben Sghaier, Bram Adams +1

Pre-trained Language Models (PTLMs) are increasingly reused as dependencies in modern software systems, even though prior work has documented persistent structural problems in PTLM…

cs.SE2026

Towards Imputation of Pre-Trained Language Model Metadata using Semantic Fingerprinting

Adekunle Ajibode, Oussama Ben Sghaier, Keheliya Gallaba +2

Pre-trained language models (PTLMs) hosted on platforms such as Hugging Face form complex lineage structures similar to software dependency graphs. However, unlike traditional soft…

cs.SE2026

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild

Zhimin Zhao, Zehao Wang, Abdul Ali Bangash +2

Evaluation harnesses are software systems that orchestrate model evaluation by managing model invocation, data loading, metric computation, and result reporting. Despite their crit…

cs.SE2026

Do AI Coding Agents Log Like Humans? An Empirical Study

Youssef Esseddiq Ouatiti, Mohammed Sayagh, Hao Li +1

Software logging is essential for maintaining and debugging complex systems, yet it remains unclear how AI coding agents handle this non-functional requirement. While prior work ch…

cs.SE2026

Assessing and Improving the Representativeness of Code Generation Benchmarks Using Knowledge Units (KUs) of Programming Languages -- An Empirical Study

Md Ahasanuzzaman, Bram Adams, Emad Fallahzadeh +2

Large Language Models (LLMs) such as GPT-4, Claude and LLaMA have shown impressive performance in code generation, typically evaluated using benchmarks (e.g., HumanEval). However,…

cs.SE2025

HAFixAgent: History-Aware Program Repair Agent

Yu Shi, Hao Li, Bram Adams +1

Automated program repair (APR) has recently shifted toward large language models and agent-based systems, yet most systems rely on local snapshot context, overlooking repository hi…