9 citations · 16 across the 11 of their papers we have counts for
11 papers
A Taxonomy of Distance Metrics for Time-Sensitive Importance Splitting: Timer Bounds, Resampling, and the Global Age
Gabriel Dengler, Carlos E. Budde, Laura Carnevali
Importance splitting (ISPLIT) evaluates the probabilities of rare events in non-Markovian models. It requires a heuristic importance function (IFUN) that estimates the distance to…
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…
Vulnerability anti-patterns in Solidity: Increasing smart contracts security by reducing false alarms
Tommaso Oss, Carlos E. Budde
Turing completeness has made Ethereum smart contracts attractive to blockchain developers and attackers alike. To increase code security, many tools can now spot most known vulnera…
How hard can it be? Quantifying MITRE attack campaigns with attack trees and cATM logic
Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga +2
The landscape of cyber threats grows more complex by the day. Advanced Persistent Threats carry out attack campaigns - e.g. operations Dream Job, Wocao, and WannaCry - against whic…
Transient Evaluation of Non-Markovian Models by Stochastic State Classes and Simulation
Gabriel Dengler, Laura Carnevali, Carlos E. Budde +1
Non-Markovian models have great expressive power, at the cost of complex analysis of the stochastic process. The method of Stochastic State Classes (SSCs) derives closed-form analy…
Tools at the Frontiers of Quantitative Verification
Roman Andriushchenko, Alexander Bork, Carlos E. Budde +20
The analysis of formal models that include quantitative aspects such as timing or probabilistic choices is performed by quantitative verification tools. Broad and mature tool suppo…
Cross-ecosystem categorization: A manual-curation protocol for the categorization of Java Maven libraries along Python PyPI Topics
Ranindya Paramitha, Yuan Feng, Fabio Massacci +1
Context: Software of different functional categories, such as text processing vs. networking, has different profiles in terms of metrics like security and updates. Using popularity…