3 citations · 7 across the 4 of their papers we have counts for
4 papers
A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
Gilberto Recupito, Vincenzo De Martino, Dario Di Nucci +1
The rapid adoption of Deep Learning (DL)-enabled systems has revolutionized software development, driving innovation across various domains. However, these systems also introduce u…
Teaching Mining Software Repositories
Zadia Codabux, Fatemeh Fard, Roberto Verdecchia +3
Mining Software Repositories (MSR) has become a popular research area recently. MSR analyzes different sources of data, such as version control systems, code repositories, defect t…
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…
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…