3 citations · 8 across the 6 of their papers we have counts for
4 papers · 1 filter
"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…
Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?
Antonio Vitale, Antonio Mastropaolo, Rocco Oliveto +2
Automated code summarization is a long-standing goal for code comprehension. This task automatically generates documentation using a given method. Deep Learning (DL)-based approach…
An Empirical Analysis of Machine Learning Model and Dataset Documentation, Supply Chain, and Licensing Challenges on Hugging Face
Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro +4
The last decade has seen widespread adoption of Machine Learning (ML) components in software systems. This has occurred in nearly every domain, from natural language processing to…
Do LLMs Provide Links to Code Similar to what they Generate? A Study with Gemini and Bing CoPilot
Daniele Bifolco, Pietro Cassieri, Giuseppe Scanniello +2
Large Language Models (LLMs) are currently used for various software development tasks, including generating code snippets to solve specific problems. Unlike reuse from the Web, LL…