1 citations · 3 across the 4 of their papers we have counts for
5 papers
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…
Quality Issues in Machine Learning Software Systems
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha +3
Context: An increasing demand is observed in various domains to employ Machine Learning (ML) for solving complex problems. ML models are implemented as software components and depl…
Quality issues in Machine Learning Software Systems
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha +1
Context: An increasing demand is observed in various domains to employ Machine Learning (ML) for solving complex problems. ML models are implemented as software components and depl…
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…
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…