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20202026
most citedStudying the Practices of Deploying Machine Learning Projects on Docker

26 citations · 29 across the 10 of their papers we have counts for

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Showing cs.SEShow all

9 papers · 1 filter

cs.SE2026

A Large-Scale Empirical Study of Quality Assurance Practices and Gaps in AI Agents

Wuyang Dai, Moses Openja, Jiho Shin +2

Large language model (LLM)-based agents are increasingly used across software engineering, web automation, research, and productivity applications. Their integration of planning, m…

cs.SE2026

ABTest: Behavior-Driven Testing for AI Coding Agents

Wuyang Dai, Moses Openja, Hung Viet Pham +3

AI coding agents are increasingly integrated into real-world software development workflows, yet their robustness under diverse and adversarial scenarios remains poorly understood.…

cs.SE2026

Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models

Gianmario Voria, Moses Openja, Foutse Khomh +2

The advent of transformer-based language models has reshaped how AI systems process and generate text. In software engineering (SE), these models now support diverse activities, ac…

cs.SE2023★ 1 cited

An empirical study of testing machine learning in the wild

Moses Openja, Foutse Khomh, Armstrong Foundjem +4

Recently, machine and deep learning (ML/DL) algorithms have been increasingly adopted in many software systems. Due to their inductive nature, ensuring the quality of these systems…

cs.SE2022★ 1 cited

An Empirical Study on the Usage of Automated Machine Learning Tools

Forough Majidi, Moses Openja, Foutse Khomh +1

The popularity of automated machine learning (AutoML) tools in different domains has increased over the past few years. Machine learning (ML) practitioners use AutoML tools to auto…

cs.SE2022★ 26 cited

Studying the Practices of Deploying Machine Learning Projects on Docker

Moses Openja, Forough Majidi, Foutse Khomh +2

Docker is a containerization service that allows for convenient deployment of websites, databases, applications' APIs, and machine learning (ML) models with a few lines of code. St…

cs.SE2022★ 1 cited

Technical Debts and Faults in Open-source Quantum Software Systems: An Empirical Study

Moses Openja, Mohammad Mehdi Morovati, Le An +2

Quantum computing is a rapidly growing field attracting the interest of both researchers and software developers. Supported by its numerous open-source tools, developers can now bu…

cs.SE2022

Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues

Mohamed Raed El aoun, Heng Li, Foutse Khomh +1

With the advance in quantum computing, quantum software becomes critical for exploring the full potential of quantum computing systems. Recently, quantum software engineering (QSE)…

cs.SE2020

Are Multi-language Design Smells Fault-prone? An Empirical Study

Mouna Abidi, Md Saidur Rahman, Moses Openja +1

Nowadays, modern applications are developed using components written in different programming languages. These systems introduce several advantages. However, as the number of langu…