Automated formal verification of visual modeling languages by model checking

2004 ◽  
Vol 3 (2) ◽  
pp. 85-113 ◽  
Author(s):  
Dániel Varró
Keyword(s):  
Model Checking ◽  
Formal Verification ◽  
Modeling Languages ◽  
Visual Modeling

A Methodology for Automatic Formal Verification of Enterprise Architecture

2019 ◽  
Vol 10 (1) ◽  
pp. 1-19
Author(s):  
Eduard Babkin ◽  
Pavel Malyzhenkov ◽  
Marina Ivanova ◽  
Nikita Ponomarev
Keyword(s):  
Model Checking ◽  
Formal Verification ◽  
Iterative Process ◽  
Enterprise Architecture ◽  
Description Language ◽  
Architecture Description Language ◽  
Business Modeling ◽  
Business Alignment ◽  
Architecture Description ◽  
Software Prototype

For over a decade, IT-business alignment has been ranked as a top-priority management concern, but there is little research on practical ways to achieve the alignment. EA development is a continuous iterative process, which implicitly ensures the achievement of a specific IT-business alignment level. Therefore, it is necessary to formalize the requirements for architecture and be able to automatically verify them. The authors propose a new methodology for detecting logical contradictions in enterprise architecture models based on a model checking approach adopted in the context of business modeling. In such a methodology, they use ArchiMate standard for a conceptual enterprise architecture description language which is fully aligned with TOGAF. The authors also offer several important verification queries and demonstrate practical applicability of their approach using a software prototype of the modeling tool which exploits MIT Alloy Analyzer model checking framework integrated with AchiMate Archi workbench.

Ontology-Based Evaluation and Design of Domain-Specific Visual Modeling Languages

2006 ◽  
pp. 217-228 ◽  
Author(s):  
Giancarlo Guizzardi ◽  
Luis Ferreira Pires ◽  
Marten van Sinderen
Keyword(s):  
Modeling Languages ◽  
Visual Modeling ◽  
Domain Specific

scholarly journals System Level Formal Verification via Model Checking Driven Simulation

2013 ◽  
pp. 296-312 ◽  
Author(s):  
Toni Mancini ◽  
Federico Mari ◽  
Annalisa Massini ◽  
Igor Melatti ◽  
Fabio Merli ◽  
...  
Keyword(s):  
Model Checking ◽  
Formal Verification ◽  
System Level

scholarly journals A symbolic model checking approach in formal verification of distributed systems

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Alireza Souri ◽  
Amir Masoud Rahmani ◽  
Nima Jafari Navimipour ◽  
Reza Rezaei
Keyword(s):  
Distributed Systems ◽  
Model Checking ◽  
Formal Verification ◽  
Symbolic Model Checking ◽  
Symbolic Model

Model Checking for SpaceWire Error Detection Module

2012 ◽  
Vol 241-244 ◽  
pp. 3020-3025
Author(s):  
Ling Ling Dong ◽  
Yong Guan ◽  
Xiao Juan Li ◽  
Zhi Ping Shi ◽  
Jie Zhang ◽  
...  
Keyword(s):  
Model Checking ◽  
Formal Verification ◽  
Temporal Logic ◽  
Error Detection ◽  
System Model ◽  
Linear Search ◽  
Kripke Structure ◽  
Mathematical Methods ◽  
Safety Critical ◽  
Correctness Of Programs

Considerable attention has been devoted to prove the correctness of programs. Formal verification overcomes the incompleteness by applying mathematical methods to verify a design. SpaceWire is a well known communication standard. For safety-critical applications an approach is needed to validate the completeness of SpareWire design. This paper addresses formal verification of SpareWire error detection module. The system model was constructed by Kripke structure, and the properties were presented by linear temporal logic (LTL). Compared the verification of LTL with CTL (branch temporal logic), LTL properties could improve the verification efficiency due to its linear search. The error priority was checked using simulation guided by model checking. After some properties were modified, all possible behaviors of the module satisfied the specification. This method realizes complete validation of the error detection module.

scholarly journals Safety Assurance of a High Voltage Controller for an Industrial Robotic System

2020 ◽  
pp. 45-63
Author(s):  
Yvonne Murray ◽  
David A. Anisi ◽  
Martin Sirevåg ◽  
Pedro Ribeiro ◽  
Rabah Saleh Hagag
Keyword(s):  
Model Checking ◽  
Formal Verification ◽  
High Voltage ◽  
Software Tool ◽  
Safety Requirements ◽  
Safety Assurance ◽  
Voltage Controller ◽  
Finite State ◽  
Low Threshold ◽  
The Comparative Study

Abstract Due to the risk of discharge sparks and ignition, there are strict rules concerning the safety of high voltage electrostatic systems used in industrial painting robots. In order to assure that the system fulfils its safety requirements, formal verification is an important tool to supplement traditional testing and quality assurance procedures. The work in this paper presents formal verification of the most important safety functions of a high voltage controller. The controller has been modelled as a finite state machine, which was formally verified using two different model checking software tools; Simulink Design Verifier and RoboTool. Five safety critical properties were specified and formally verified using the two tools. Simulink was chosen as a low-threshold entry point since MathWorks products are well known to most practitioners. RoboTool serves as a software tool targeted towards model checking, thus providing more advanced options for the more experienced user. The comparative study and results show that all properties were successfully verified. The verification times in both tools were in the order of a few minutes, which was within the acceptable time limit for this particular application.

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