61 citations · 181 across the 12 of their papers we have counts for
4 papers · 1 filter
A Preliminary Investigation of MLOps Practices in GitHub
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
Background. The rapid and growing popularity of machine learning (ML) applications has led to an increasing interest in MLOps, that is, the practice of continuous integration and d…
Assessing the Quality of Computational Notebooks for a Frictionless Transition from Exploration to Production
Luigi Quaranta
The massive trend of integrating data-driven AI capabilities into traditional software systems is rising new intriguing challenges. One of such challenges is achieving a smooth tra…
Pynblint: a Static Analyzer for Python Jupyter Notebooks
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Jupyter Notebook is the tool of choice of many data scientists in the early stages of ML workflows. The notebook format, however, has been criticized for inducing bad programming p…
Eliciting Best Practices for Collaboration with Computational Notebooks
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Despite the widespread adoption of computational notebooks, little is known about best practices for their usage in collaborative contexts. In this paper, we fill this gap by elici…