[HTML][HTML] Efficient synthesis of robust models for stochastic systems

R Calinescu, M Češka, S Gerasimou… - Journal of Systems and …, 2018 - Elsevier
We describe a tool-supported method for the efficient synthesis of parametric continuous-
time Markov chains (pCTMC) that correspond to robust designs of a system under …

[HTML][HTML] Bayesian statistical parameter synthesis for linear temporal properties of stochastic models

L Bortolussi, S Silvetti - Tools and Algorithms for the Construction and …, 2018 - Springer
Parameterized verification of temporal properties is an active research area, being extremely
relevant for model-based design of complex systems. In this paper, we focus on parameter …

[HTML][HTML] Model checking Markov population models by stochastic approximations

L Bortolussi, R Lanciani, L Nenzi - Information and Computation, 2018 - Elsevier
Many complex systems can be described by population models, in which a pool of agents
interacts and produces complex collective behaviours. We consider the problem of verifying …

Probabilistic model checking for continuous-time Markov chains via sequential Bayesian inference

D Milios, G Sanguinetti, D Schnoerr - … 2018, Beijing, China, September 4-7 …, 2018 - Springer
Probabilistic model checking for systems with large or unbounded state space is a
challenging computational problem in formal modelling and its applications. Numerical …

An assertion graph based abstraction algorithm in GSTE and Its application

D Zheng, X Li, G Yang, H Wang, L Tian - Integration, 2018 - Elsevier
Abstract Generalized Symbolic Trajectory Evaluation (GSTE) is an alternative model
checking technique based on particular automata to specify the properties. Despite the …

Towards software performance by construction

M Tribastone - … Applications of Formal Methods, Verification and …, 2018 - Springer
Performance is an important extra-functional factor that directly impacts on the quality of a
software system as perceived by its users. It indicates how well the software behaves, thus …

Bayesian statistical parametric verification and synthesis by machine learning

L Bortolussi, G Sanguinetti… - 2018 Winter Simulation …, 2018 - ieeexplore.ieee.org
We consider the problem of parametric verification, presenting a recent statistical method to
perform parametric verification of linear time properties of stochastic models, estimating the …

Data-driven methods for statistical verification of uncertain nonlinear systems

JF Quindlen - 2018 - dspace.mit.edu
Due to the increasing complexity of autonomous, adaptive, and nonlinear systems,
engineers commonly rely upon statistical techniques to verify that the closed-loop system …

Combining Machine Learning and Formal Methods for Complex Systems Design

S Silvetti - 2018 - air.uniud.it
During the last 20 years, model-based design has become a standard practice in many
fields such as automotive, aerospace engineering, systems and synthetic biology. This …

[PDF][PDF] 3.2 Shield Synthesis

R Bloem - Machine Learning and Model Checking Join Forces - drops.dagstuhl.de
Shield synthesis is an approach to enforce safety properties at runtime. A shield monitors the
system and corrects any erroneous output values instantaneously. The shield deviates from …