1 citations · 1 across the 4 of their papers we have counts for
5 papers
Statistical Model Checking Beyond Means: Quantiles, CVaR, and the DKW Inequality (extended version)
Carlos E. Budde, Arnd Hartmanns, Tobias Meggendorfer +2
Statistical model checking (SMC) randomly samples probabilistic models to approximate quantities of interest with statistical error guarantees. It is traditionally used to estimate…
Time-Sensitive Importance Splitting
Gabriel Dengler, Carlos E. Budde, Laura Carnevali +1
State-of-the-art methods for rare event simulation of non-Markovian models face practical or theoretical limits if observing the event of interest requires prior knowledge or infor…
Digging for Decision Trees: A Case Study in Strategy Sampling and Learning
Carlos E. Budde, Pedro R. D'Argenio, Arnd Hartmanns
We introduce a formal model of transportation in an open-pit mine for the purpose of optimising the mine's operations. The model is a network of Markov automata (MA); the optimisat…
Forecasting the risk of software choices: A model to foretell security vulnerabilities from library dependencies and source code evolution
Carlos E. Budde, Ranindya Paramitha, Fabio Massacci
Software security mainly studies vulnerability detection: is my code vulnerable today? This hinders risk estimation, so new approaches are emerging to forecast the occurrence of fu…
Sound Statistical Model Checking for Probabilities and Expected Rewards (extended version)
Carlos E. Budde, Arnd Hartmanns, Tobias Meggendorfer +2
Statistical model checking estimates probabilities and expectations of interest in probabilistic system models by using random simulations. Its results come with statistical guaran…