70 results about "Formal methods" patented technology

The present invention relates to a method of circuit verification in digital design and in particular relates to a method of register transfer level property checking to enable the same. Today's electrical circuit designs frequently contain up to several million transistors and circuit designs need to be checked to ensure that circuits operate correctly. Formal methods for verification are becoming increasingly attractive since they confirm design behavior without exhaustively simulating a design. The present invention provides a digital circuit design verification method wherein, prior to a property checking process for each property of a non-reduced RTL model, a reduced RTL model is determined, which reduced RTL model retains specific signal properties of a non-reduced RTL model which are to be checked. A linear signal width reduction causes an exponential reduction of the induced state space. Reducing state space sizes in general goes hand in hand with reduced verification runtimes, and thus speeding up verification tasks.

The present invention facilitates the analysis of binaries, components, configurations, and their footprints for component design and optimization. Complete and meaningful binary, component, configuration, and footprint information allows formal methods for component analysis and configuration optimization. A binary dependency database persists and stores binary dependency information. The binary dependency database provides detailed dependency information among binaries.

The invention discloses a system and method oriented to supermatic formal verification of a smart contract of a blockchain. By using a code converter tool, the smart contract source code of the blockchain can be automatically converted into a language interlayer code for formal verification and identification so as to be used for formal verification input; by adopting a formal method, supermatic formal safety verification can be carried out on a converted source code so as to judge whether the security attribute requirement of the smart contract is safe or not. By relatively high-degree automation, formal safety verification can be carried out on the smart contract of the blockchain, wherein an automatic code converter can be used for automatically generating a formal to-be-verified program, the automatic checking calculation strategy improves verification efficiency, and the measures can be used for greatly improving the formal verification efficiency of the smart contract and reducing the artificial degree of participation.

The invention provides a medical management system based on a block chain. The system comprises a block chain subsystem, an identity authentication subsystem, an intelligent contract subsystem and anEMR subsystem. The block chain subsystem is used for storing partial electronic medical recording information, verification abstracts and electronic medical recording indexes and is compatible with anoriginal electronic medical recording (EMR) system; the identity authentication subsystem is used for user registration, safety certification and key management; the intelligent contract subsystem isused for achieving the functions of government (National Health and Family Planning Commission of the People's Republic of China) medical data monitoring management, prescription authentication, prescription medicine purchasing, medical insurance compensation and patient medical record authentication and sharing. The medical management system based on the block chain provides tools for writing, combination, formation verification and generation of an intelligent contract, and through a formation method, the full life circle of description, modelling, verification, generation and execution ofthe intelligent contract is managed; the EMR subsystem is used for storing a specific medical treatment record and providing service of management and querying for the electronic medical record.

The invention relates to a model conversion and formalization verification method of semantic Web service combination, which belongs to the field of semantic network and Web service. The invention is characterized in that a semantic Web service combination storage unit, a semantic Web service coloring Petri network storage sub module, a correctness verification sub module and a body tool Protege are established on the computer. The method uses a module conversion sub module for converting the OWL-S type semantic Web service combination module into the semantic Web service coloring Petri network module, the converted module can clearly represent the logic relationship between all sub processes in the service combination, and in addition, the correctness verification of the service combination can be carried out through a coloring Petri network formalization method. According to the invention, the correctness of the semantic Web service combination can be verified by a formalization method, so the correct execution of the service combination can be ensured.

The invention discloses a model-based automated test method for a spacecraft system and belongs to the field of system testing. The method comprises the steps of firstly building a window tree model of a tested spacecraft system through a formalization method, classifying behavior states of the tested spacecraft system during operation according to business processes, and constructing a system behavior state transition diagram; secondly traversing a window tree to generate a test case set, running the test case set in a tested spacecraft digital model and validation prototype system, setting tracking points, obtaining system behavior states and recording a state transition sequence; and finally checking whether the obtained state transition sequence obeys a state transition rule or not through a model detection algorithm, thereby automatically validating overall design of the tested spacecraft system and interface design among modules. According to the method, the test cost of the spacecraft system and the whole research and development cycle of the spacecraft system are reduced and shortened by adopting a model-based test technology; and the quality and accuracy of spacecraft system testing are improved by adopting the formalization method and the model detection algorithm.

One embodiment of the present invention provides a method and a system that facilitates structural coverage of a design during a design verification process. During operation, the system receives a hardware description of the design, which contains one or more module instances and a set of structural coverage targets for a set of structures in the design. The system then extracts a control flow, the set of structural coverage targets, and a set of structural coverage metrics for the hardware description, and creates a shadow module with the same control flow as the hardware description. This shadow module contains a set of parallel structures that correspond to the set of structural coverage targets in the control flow of the hardware description and serve as targets for formal methods used to analyze the design. The system also generates a set of cross-module references to link the set of parallel structures in the shadow module with signals from the set of structures in the hardware description. The system then applies a formal verification tool to the design, including the shadow module and the cross-module references in an attempt to achieve the desired structural coverage.

The invention belongs to the field of formalization methods, and discloses a blockchain system modeling and safety verification method and system based on an MSVL. The method comprises the following steps: modeling a blockchain system by using the MSVL in MC, and representing the blockchain system by a program p; describing the property of the blockchain system by using a PPTL, and expressing theproperty by a formula phi; and in the MC, adding a modeling program p of the MSVL and the property phi described by using the PPTL, and verifying the safety of the blockchain system. According to theblockchain system modeling and safety verification method based on the MSVL provided by the invention, the blockchain is modeled by using an MSVL program, and the safety property of the blockchain isdescribed by using the PPTL; the PPTL is a proposition subset of PTL, and the MSVL is an executable subset of the PTL, so that the MSVL and the PPTL can be executed in the MC in a unified mode; compared with other methods, the method does not need to use another formal languages and also does not need to call other tools and a lot of manual certifications, and only needs to provide a PPTL formulaof the property to be verified, so that the proof process is automatically completed by the MC.

According to the formal verification-based software development model verification method provided by the invention, formal verification and a software development process are combined, so that the high credibility of software is improved, and the reliability of software development is logically guaranteed; the effect of formalized verification on the development logic in the software developmentprocess in the field of software error detection is exerted; and the possibility that the program operates in an abnormal state is reduced. According to the method, the high credibility of the software is improved, and the reliability of software development is logically guaranteed; verification is carried out in the demand stage, and the serious consequence of redevelopment caused by unreasonablesoftware demand analysis can be avoided; the function logic correctness in the software development process is verified in the field of formal verification in time; the formal method is introduced into the software development process, a specific model is given, and the limitation problem of the test technology in the field of software error detection is solved.

The invention provides a C language program software validation method and device based on an expanded symbol transition system. The method comprises the following steps: inserting verification attribute description into C language program source codes of an object to be tested; establishing an ELTS program model for the C language program source codes to which verification attribute is inserted according to an expanded symbol transition system ELTS syntax; generating a model path of a satisfiability solving SMT according to the ELTS program model; performing accessibility analysis and validation on the model path of the ELTS program model through an SMT tool; generating an ELTS program model counter-example according to an accessibility analysis and validation result, and generating a C language program counter-example according to ELTS program model counter-example mapping. The embodiment of the invention automatically establishes the ELTS program model, and obtains the validation result through model detection and strict mathematical reasoning, and compared with other formalization methods, the method has the characteristics of higher accuracy rate and better program coverage rate, and improves the efficiency and accuracy of software validation.

The invention provides a ground autonomous mobile robot safety navigation method based on formal description. An abstract model of an autonomous robot navigation system is established, a formal method is used to describe a robot safety navigation algorithm, safety constraints of the navigation system are analyzed, and the algorithm is solved and verified under the constraints. The system model is established on the basis of a robot omnidirectional movement platform, the provided autonomous navigation algorithm follows restrictions of passive friendly safety, and the formal method is used to resolve control input to be verified in the navigation system. The effective robot autonomous navigation algorithm is provided, and differential dynamic logics are used to solve safety control input of next moment according to the present operation state of the system. The method can be applied to the autonomous navigation system of the robot, and the completeness of a safety mechanism of the navigation system is ensured.

Provided is a formalization method for verification and performance analysis of a high reliable communication system. The formalization method includes five steps. The formalization method is a method for communication system formal verification and analysis based on the combination of model testing and theorem proving. Based on the method of hypothesis guarantee, an environmental state machine is established to achieve layering modeling for design of a network communication system, the formal verification for determinant attributes is achieved, high order logical formalization with a random variable statistic character is achieved for protocol transmission processes and the method and design of attributive high order logical formal modeling, and based on the high-order logic model and the correlation theorem which are established on HOL4, automatic verification and dynamic performance analysis based on the formal model are achieved. The formalization method has good practical value and wide application prospects in the technical field of formal verification engineering.

A simulation of software test program executing upon a primary model of a portion of a data processing apparatus is performed to identify uncovered (undetected) failures. A formal method analysis is then performed upon a combination of the primary model and a fault-simulating model simulating the uncovered failures in order to identify software stimuli that can render the uncovered failures detectable. The identified software stimuli are then added to the software test program to increase the failure coverage. The process is performed iteratively until a desired level of failure coverage is achieved.

The present invention relates to the field of traffic information release and traffic management and control and discloses a road traffic flow parameter prediction method based on granular computing. The method comprises the steps of (1) replacing a data point by information particulate to be the basic unit of data mining analysis, (2) with granular computing ideology throughout the whole prediction framework, taking granular processing as a data processing method with a unified structure, allowing a policy maker to clearly understand the positions of various forms of systems in mutual interaction, grasping the communication mode of the systems, and establishing an enhanced harmonious environment among different ways, (3) with a fuzzy time series and the Gath-Geva cluster theory as the basis, by focusing on the commonalities of existing formal methods, recognizing the orthogonality of an existing good frame ( such as the probability theory and the probability density functions of various variables), with variable granularity concept as a basis, establishing the interval length analysis model of a granularity range according to a numerical entity, and thus realizing pattern recognition and speculation on the above basis.

A method of applying formal verification methodologies to event processing applications is provided herein. The method includes the following stages: representing an event processing application as an event processing network, being a graph with event processing agents as nodes; generating a finite state machine based on the event processing network, wherein the finite state machine is an over-approximation of the event processing application; expressing stateful rules and policies that are associated with the event processing application using temporal logic, to yield a temporal representation of the event processing application; combining the temporal representation and the finite state machine into a model; generating a statement associated with a user-selected verification-related property of the event processing application, wherein the statement is generated using the temporal representation; and applying the statement to the model, to yield an indication for: (i) a correctness of the statement or (ii) a counter example, respectively.

The invention relates to a verification method and system of a robot joint communication system model. The method comprises the steps of modeling for and analyzing a CAN-based field bus type control system in a formalization manner, wherein model abstracting is performed on the system, and then formal modeling and verification are performed; determining whether a timed automata meets constraints of correctness and timeliness; if the time automata does not meet the constraint of correctness, replanning a system solution; if the time automata does not meet the constraint of timeliness, improvingthe timeliness through deploying a dynamic priority policy. According to the method, a timed automata model is built in a formal description manner, and the correctness and timeliness of the timed automata are verified in a UPPAAL tool; if the constraint of timeliness is not met, the dynamic priority policy is deployed.

Soft error detection is performed by computation of states based on formal methods and by simulating a synthesized target identification logic together with the design. Soft errors may be simulated in response to detecting that a simulated state of the design is comprised by the states. A BDD representation of the design may be utilized to determine the states. A Boolean satisfiability problem may be defined and solved using an all-SAT solver in order to determine the states.

The invention relates to data processing and testing. In order to test a measuring object efficiently and accurately, the technical scheme used by the invention is a Z-specification-based test method which comprises the following steps of: 1, describing the specification of a software system by using a Z language to make the description of a formalization method accurate and sufficiently exert an advantage without ambiguity; 2, generating a precondition in a predicate part of a basic module mode of the Z language and ensuring the integrity of a module and the non-verbosity of the precondition simultaneously; 3, generating a usable test case with high coverage ratio by a proper algorithm according to the acquired precondition; and 4, verifying whether the code of a user accords with the predicted code of a program or not by detecting the code, and providing a corresponding test report by comparing the output of a target code with the output of the acquired test case. The method is mainly applied to data processing and testing.