2 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
How are MLOps Frameworks Used in Open Source Projects? An Empirical Characterization
Fiorella Zampetti, Federico Stocchetti, Federica Razzano +2
Machine Learning (ML) Operations (MLOps) frameworks have been conceived to support developers and AI engineers in managing the lifecycle of their ML models. While such frameworks p…
"Let it be Chaos in the Plumbing!" Usage and Efficacy of Chaos Engineering in DevOps Pipelines
Stefano Fossati, Damian Andrew Tamburri, Massimiliano Di Penta +1
Chaos Engineering (CE) has emerged as a proactive method to improve the resilience of modern distributed systems, particularly within DevOps environments. Originally pioneered by N…
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs
Filippo Scaramuzza, Giovanni Quattrocchi, Damian A. Tamburri
As Artificial Intelligence (AI) systems, particularly those based on machine learning (ML), become integral to high-stakes applications, their probabilistic and opaque nature poses…