activity
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 2024Show all

9 papers · 1 filter

cs.SE2024

UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum

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

Software applications that run on a blockchain platform are known as DApps. DApps are built using smart contracts, which are immutable after deployment. Just like any real-world so…

cs.DC2024

On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance

Jaskirat Singh, Bram Adams, Ahmed E. Hassan

To help MLOps engineers decide which operator to use in which deployment scenario, this study aims to empirically assess the accuracy vs latency trade-off of white-box (training-ba…

cs.SE2024★ 1 cited

Towards Semantic Versioning of Open Pre-trained Language Model Releases on Hugging Face

Adekunle Ajibode, Abdul Ali Bangash, Filipe Roseiro Cogo +2

The proliferation of open Pre-trained Language Models (PTLMs) on model registry platforms like Hugging Face (HF) presents both opportunities and challenges for companies building p…

cs.SE2024★ 3 cited

On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards

Zhimin Zhao, Abdul Ali Bangash, Filipe Roseiro Côgo +2

Foundation models (FM), such as large language models (LLMs), which are large-scale machine learning (ML) models, have demonstrated remarkable adaptability in various downstream so…

cs.SE2024

Predicting long time contributors with knowledge units of programming languages: an empirical study

Md Ahasanuzzaman, Gustavo A. Oliva, Ahmed E. Hassan

Predicting potential long-time contributors (LTCs) early allows project maintainers to effectively allocate resources and mentoring to enhance their development and retention. Mapp…

cs.SE2024★ 3 cited

Does Using Bazel Help Speed Up Continuous Integration Builds?

Shenyu Zheng, Bram Adams, Ahmed E. Hassan

A long continuous integration (CI) build forces developers to wait for CI feedback before starting subsequent development activities, leading to time wasted. In addition to a varie…

cs.SE2024

A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products

Harsh Patel, Dominique Boucher, Emad Fallahzadeh +2

This paper investigates the complexities of integrating Large Language Models (LLMs) into software products, with a focus on the challenges encountered for determining their readin…

cs.SE2024

On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance

Jaskirat Singh, Emad Fallahzadeh, Bram Adams +1

Deciding what combination of operators to use across the Edge AI tiers to achieve specific latency and model performance requirements is an open question for MLOps engineers. This…

cs.SE2024★ 20 cited

An Empirical Study of Challenges in Machine Learning Asset Management

Zhimin Zhao, Yihao Chen, Abdul Ali Bangash +2

In machine learning (ML), efficient asset management, including ML models, datasets, algorithms, and tools, is vital for resource optimization, consistent performance, and a stream…