scholarly journals Formal verification of probabilistic SystemC models with statistical model checking

2017 ◽  
Vol 30 (3) ◽  
pp. e1890 ◽  
Author(s):  
Van Chan Ngo ◽  
Axel Legay
Keyword(s):  
Model Checking ◽  
Statistical Model ◽  
Formal Verification ◽  
Statistical Model Checking

scholarly journals Formal Verification of Heuristic Autonomous Intersection Management Using Statistical Model Checking

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4506
Author(s):  
Aaditya Prakash Chouhan ◽  
Gourinath Banda
Keyword(s):  
Model Checking ◽  
Statistical Model ◽  
Formal Verification ◽  
Autonomous Vehicles ◽  
Timed Automata ◽  
Autonomous Systems ◽  
Statistical Model Checking ◽  
Stage Of Development ◽  
Verification Techniques ◽  
Intersection Management

Autonomous vehicles are gaining popularity throughout the world among researchers and consumers. However, their popularity has not yet reached the level where it is widely accepted as a fully developed technology as a large portion of the consumer base feels skeptical about it. Proving the correctness of this technology will help in establishing faith in it. That is easier said than done because of the fact that the formal verification techniques has not attained the level of development and application that it is ought to. In this work, we present Statistical Model Checking (SMC) as a possible solution for verifying the safety of autonomous systems and algorithms. We apply it on Heuristic Autonomous Intersection Management (HAIM) algorithm. The presented verification routine can be adopted for other conflict point based autonomous intersection management algorithms as well. Along with verifying the HAIM, we also demonstrate the modeling and verification applied at each stage of development to verify the inherent behavior of the algorithm. The HAIM scheme is formally modeled using a variant of the language of Timed Automata. The model consists of automata that encode the behavior of vehicles, intersection manager (IM) and collision checkers. To verify the complete nature of the heuristic and ensure correct modeling of the system, we model it in layers and verify each layer separately for their expected behavior. Along with that, we perform implementation verification and error injection testing to ensure faithful modeling of the system. Results show with high confidence the freedom from collisions of the intersection controlled by the HAIM algorithm.

Statistical Model Checking in Drug Repurposing for Alzheimer’s Disease

2020 ◽  
pp. 64-80
Author(s):  
Herbert Rausch Fernandes ◽  
Giovanni Freitas Gomes ◽  
Antonio Carlos Pinheiro de Oliveira ◽  
Sérgio Vale Aguiar Campos
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Model Checking ◽  
Statistical Model ◽  
Drug Repurposing ◽  
Statistical Model Checking

scholarly journals Automated parameter estimation for biological models using Bayesian statistical model checking

2015 ◽  
Vol 16 (S17) ◽  
Author(s):  
Faraz Hussain ◽  
Christopher J Langmead ◽  
Qi Mi ◽  
Joyeeta Dutta-Moscato ◽  
Yoram Vodovotz ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Model Checking ◽  
Statistical Model ◽  
Biological Models ◽  
Statistical Model Checking
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