26 citations · 37 across the 6 of their papers we have counts for
6 papers
What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow
Amin Ghadesi, Maxime Lamothe, Heng Li
Machine learning (ML), including deep learning, has recently gained tremendous popularity in a wide range of applications. However, like traditional software, ML applications are n…
Studying the Characteristics of AIOps Projects on GitHub
Roozbeh Aghili, Heng Li, Foutse Khomh
Artificial Intelligence for IT Operations (AIOps) leverages AI approaches to handle the massive amount of data generated during the operations of software systems. Prior works have…
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…
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…
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)…
Logram: Efficient Log Parsing Using n-Gram Dictionaries
Hetong Dai, Heng Li, Weiyi Shang +2
Software systems usually record important runtime information in their logs. Logs help practitioners understand system runtime behaviors and diagnose field failures. As logs are us…