3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.SE2024★ 3 cited
When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems
Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci +2
Context. The adoption of Machine Learning (ML)--enabled systems is steadily increasing. Nevertheless, there is a shortage of ML-specific quality assurance approaches, possibly beca…
cs.SE2023★ 3 cited
Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review
Sergio Moreschi, Gilberto Recupito, Valentina Lenarduzzi +3
MLOps tools enable continuous development of machine learning, following the DevOps process. Different MLOps tools have been presented on the market, however, such a number of tool…