Incremental Development of a Safety Critical System Combining formal Methods and DSMLs

2019 ◽  
pp. 93-109 ◽  
Author(s):  
Akram Idani ◽  
Yves Ledru ◽  
Abderrahim Ait Wakrime ◽  
Rahma Ben Ayed ◽  
Simon Collart-Dutilleul
Keyword(s):  
Formal Methods ◽  
Critical System ◽  
Safety Critical ◽  
Incremental Development ◽  
Safety Critical System

scholarly journals A Framework for Model and Verification of Safety-Critical Operating System Based on ARINC653

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1934
Author(s):  
Wenjing Xu ◽  
Dianfu Ma
Keyword(s):  
Operating System ◽  
Formal Methods ◽  
Formal Proof ◽  
Sufficient Evidence ◽  
Critical System ◽  
Safety Critical ◽  
Safety Critical System ◽  
Formal Framework ◽  
System Verification ◽  
Functional Correctness

As the scale and complexity of safety-critical software continue to grow, it is necessary to ensure safety and reliability to avoid minor errors leading to catastrophic disasters. Meantime, the traditional method, such as testing and simulation alone is insufficient to ensure the correctness of systems. This leads to using formal methods to provide sufficient evidence for systems. However, design a high assurance safety-critical system by formal methods is challenging due to the complexity of operating systems. In addition, the traditional interactive theorem prover used in system verification requires hand-written proofs, which are more expensive. Therefore, the efforts of providing a standardized formal framework as well as safety proofs, are notable for the develop a safety-critical system. The purpose of this paper is to provide a safety framework to establish a highly reliable and safety-critical operating system based on the ARINC653 standard, a multilevel and standardized formal model. To verify the functional correctness of this model, we propose a context-based formal proof method for programs. To achieve this goal, we first model 57 core services of ARINC653 and define the high-level requirements as pre-and post-conditions. Then, we construct a set of specification statements a formal axiom system transformed into logical sentences, and the core service model is transformed into a logical sentence sequence to be proved. Finally, a context-based formal proof system for specification correctness is developed. We have verified the correctness of safety-critical operating system core services with this system. Experience shows that the verification system we developed can be achieved the functional correctness of a complete OS with a low implement burden, and that can simplify the difficulty of automated verification and increase the degree of automation of proof.

scholarly journals Model-driven Design-Runtime Interaction in Safety Critical System Development: an Experience Report.

2019 ◽  
Vol 18 (2) ◽  
pp. 1:1 ◽  
Author(s):  
Romina Eramo ◽  
Florent Marchand de Kerchove ◽  
Maximilien Colange ◽  
Michele Tucci ◽  
Julien Ouy ◽  
...  
Keyword(s):  
System Development ◽  
Experience Report ◽  
Critical System ◽  
Safety Critical ◽  
Model Driven ◽  
Safety Critical System

scholarly journals Survivability of Ships at Sea: A Proposed Model to Account for Human Factors in a Safety-Critical System

2014 ◽  
Vol 156 (A2) ◽  
Keyword(s):  
Mathematical Model ◽  
Human Factors ◽  
Critical Incident ◽  
Emergency Situation ◽  
Probability Of Failure ◽  
Critical System ◽  
Safety Critical ◽  
Safety Critical System ◽  
Proposed Model ◽  
Hardware Reliability

Most serious accidents at sea are caused by minor incidents that escalated into an uncontrolled situation. This study is aiming to develop a model to investigate the likelihood of fatal accidents, given that a critical incident has already occurred. The focus of the study is on human behaviour, adopting a hardware reliability perspective. The vessel is considered as a safety-critical system to be protected by several barriers. The crew role is modelled as active barriers and distinguishing between different functions: perception, decision and action. A Markov approach is proposed to model different situations on the vessel. A mathematical model to estimate the probability of failure in an emergency situation is formulated. A new parameter is defined for the survivability of a vessel, given that a critical incident has taken place. The methods were applied to examine ship-platform collisions cases and the results show strong benefits for diagnosing and evaluating accidents from a human factors perspective as well as for training purposes.

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