Daniele Codecasa

13 papers A 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
How is Google Using AI for Internal Code Migrations?
SEIP@ICSE
Stoyan Nikolov, Daniele Codecasa, Anna Sjövall, Maxim Tabachnyk, Satish Chandra, Siddharth Taneja, Celal Ziftci
2025 J jnl
How is Google using AI for internal code migrations?
CoRR
Stoyan Nikolov, Daniele Codecasa, Anna Sjovall, Maxim Tabachnyk, Satish Chandra, Siddharth Taneja, Celal Ziftci
2025 — conf
Migrating Code At Scale With LLMs At Google.
SIGSOFT FSE Companion
Celal Ziftci, Stoyan Nikolov, Anna Sjövall, Bo Kim, Daniele Codecasa, Max Kim
2025 J jnl
Migrating Code At Scale With LLMs At Google.
CoRR
Celal Ziftci, Stoyan Nikolov, Anna Sjovall, Bo Kim, Daniele Codecasa, Max Kim
2015 J jnl
Classification and clustering with continuous time Bayesian network models.
J. Intell. Inf. Syst.
Daniele Codecasa, Fabio Stella
2014 J jnl
CTBNCToolkit: Continuous Time Bayesian Network Classifier Toolkit.
CoRR
Daniele Codecasa, Fabio Stella
2014 — —
Continuous time bayesian network classifiers.
Daniele Codecasa
2014 J jnl
Learning continuous time Bayesian network classifiers.
Int. J. Approx. Reason.
Daniele Codecasa, Fabio Stella
2013 — conf
A Classification Based Scoring Function for Continuous Time Bayesian Network Classifiers.
NFMCP
Daniele Codecasa, Fabio Stella
2012 — ch.
An Empirical Study of Parallel and Distributed Particle Swarm Optimization.
Parallel Architectures and Bioinspired Algorithms
Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
2011 J jnl
A Comparative Study of Four Parallel and Distributed PSO Methods.
New Gener. Comput.
Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
2010 — conf
A study of parallel and distributed particle swarm optimization methods.
BADS@ICAC
Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri
2010 A conf
An empirical comparison of parallel and distributed particle swarm optimization methods.
GECCO
Leonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri