International audienceStatistical Model Checking (SMC) is a compromise between verification and testing where executions of the systems are monitored until an algorithm from statistics can produce an estimate for the system to satisfy a given property. The objective of this introduction is to summarizes SMC as well as a series of challenges for which contributors at Isola propose a solution. Contributions include new SMC toolsets, new flexible SMC algorithms for larger classes of systems, and new applications
We propose the first tool for solving complex (some undecidable) problems of timed systems by using ...
International audienceThis paper investigates the combined use of abstraction and probabilistic lear...
Ensuring a correct behaviour of Systems of Systems (SoS) has a significant social impact. Their comp...
International audienceStatistical Model Checking (SMC) is a compromise between verification and test...
International audienceThis paper contains material for our tutorial presented at STRESS 2016. This i...
Statistical Model Checking (SMC) is a powerful and widely used approach that consists in extracting ...
We highlight the contributions made in the field of Statistical Model Checking (SMC) since its incep...
Statistical Model Checking (SMC) is a powerful and widely used approach that consists in estimating ...
International audienceVerifying the correctness of systems-of-systems (SoS) is a key challenge, larg...
Also part of the Lecture Notes in Computer Science book series (LNCS, volume 9960)International audi...
International audienceQuantitative properties of stochastic systems are usually specified in logics ...
International audienceTransaction-level modeling with SystemC has been very successful in describing...
Statistical model checking (SMC) has been used to verify both biological and P systems, but differe...
Statistical Model Checking (SMC) is a trade-off between testing and formal verification. The core id...
Statistical model checking (SMC) is an analysis method that circumvents the state space explosion pr...
We propose the first tool for solving complex (some undecidable) problems of timed systems by using ...
International audienceThis paper investigates the combined use of abstraction and probabilistic lear...
Ensuring a correct behaviour of Systems of Systems (SoS) has a significant social impact. Their comp...
International audienceStatistical Model Checking (SMC) is a compromise between verification and test...
International audienceThis paper contains material for our tutorial presented at STRESS 2016. This i...
Statistical Model Checking (SMC) is a powerful and widely used approach that consists in extracting ...
We highlight the contributions made in the field of Statistical Model Checking (SMC) since its incep...
Statistical Model Checking (SMC) is a powerful and widely used approach that consists in estimating ...
International audienceVerifying the correctness of systems-of-systems (SoS) is a key challenge, larg...
Also part of the Lecture Notes in Computer Science book series (LNCS, volume 9960)International audi...
International audienceQuantitative properties of stochastic systems are usually specified in logics ...
International audienceTransaction-level modeling with SystemC has been very successful in describing...
Statistical model checking (SMC) has been used to verify both biological and P systems, but differe...
Statistical Model Checking (SMC) is a trade-off between testing and formal verification. The core id...
Statistical model checking (SMC) is an analysis method that circumvents the state space explosion pr...
We propose the first tool for solving complex (some undecidable) problems of timed systems by using ...
International audienceThis paper investigates the combined use of abstraction and probabilistic lear...
Ensuring a correct behaviour of Systems of Systems (SoS) has a significant social impact. Their comp...