26 citations · 29 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
An Empirical Study of Challenges in Converting Deep Learning Models
Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed +3
There is an increase in deploying Deep Learning (DL)-based software systems in real-world applications. Usually DL models are developed and trained using DL frameworks that have th…
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…
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…
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)…