28 results about "System under test" patented technology

This invention discloses a method for dynamic virtual testing and evaluation of power grids based on digital twins: a virtual power grid dynamic simulator is connected in series between the power grid signal sensors and the controller of the system under test; the host computer transmits the dynamic parameters of the power grid to be simulated to the simulator; the simulator modulates the parameters with the actual power grid signal to generate a power grid signal containing virtual disturbances, which is sent to the controller of the system under test to disturb the operation of the system under test; the simulator can also receive control signals from the system under test and generate control signals containing disturbances, which are sent to the controller of the system under test; simultaneously, the control and output responses under disturbance are collected and analyzed to evaluate the system's stability, controllability, or resilience. The dynamic parameters of the power grid are generated by a digital twin model of the actual power grid; the response of the system under test is fed back to the digital twin model, reflecting the interaction with the power grid after connection. This invention integrates digital twins and virtual simulation to achieve safe, efficient, and low-cost testing and evaluation of grid-connected equipment under dynamic and fault conditions of the power grid.

The application relates to an intelligent test case generation method based on an AI adversarial model, and belongs to the technical field of computer software testing, which comprises the following steps: constructing an initial training set according to system information to be tested, test requirements and historical test data; generating a test case by using a generator of the AI adversarial model based on the initial training set; evaluating the quality of the test case by using a discriminator, and iteratively optimizing the generator based on the evaluation result; executing the generated test case, recording execution logs and intermediate results; and evaluating the execution logs and the intermediate results until a preset test termination condition is met. The test case generated by using the AI adversarial model has stronger adversarialness and pertinence, and can effectively find hidden defects that are difficult to be found by traditional methods.

The application provides a method and system for automatically generating a network security test task outline based on subjects, comprising the following steps: S1, based on task information file decomposition index requirements, analyzing network security index keywords related to network security test in the index requirements; S2, based on the network security index keywords, using a related entity discovery technology to obtain recommended subjects corresponding to the index; S3, using a mind map to display the corresponding relationship between the measured system, the index and the subject; and S4, based on the corresponding relationship between the measured system, the index and the subject, using a network security test task outline template to automatically generate a test task outline.

This invention discloses an active simulation system and method for harsh ground planes in DC testing, belonging to the field of electromagnetic environment simulation technology in electrical testing. The system employs a dual DC source architecture with a grounding switch. Two DC sources are connected to the DC power supply circuit of the device under test (DUT), and the grounding switch enables controllable switching between the dual DC sources and the ground plane. By configuring the DC output of the two DC sources and superimposing controllable ripple, while ensuring zero AC component of the voltage between the positive and negative terminals of the DUT and stable power supply, the voltage between the ground plane and the negative terminal of the DUT forms independently adjustable DC and AC components. It also provides two implementation architectures that can flexibly adapt to different testing scenarios. This invention achieves full-parameter active controllable simulation of harsh DC ground planes, accurately reproducing the actual operating conditions of DC tests such as power batteries, motor test benches, and high-power charging and discharging, significantly improving test quality and the verification accuracy of the safety and reliability of the DUT.

This application discloses a stress testing method, apparatus, device, and computer-readable storage medium, belonging to the field of system performance testing technology. The method includes: determining the concurrency level based on the number of centralized test data sets of the system under test and the number of concurrent processing data sets of a single server in a server cluster; generating a stress testing application corresponding to the server cluster; sending the stress testing application and the concurrency level to the server cluster; and obtaining the stress testing data fed back by the server cluster. The above technical solution can easily obtain the stress testing data fed back by the server cluster and does not require the use of a dedicated stress testing machine, thus simplifying the stress testing method.

The present application relates to a kind of chaos engineering case design method, device, electronic equipment and storage medium.The chaos engineering case design method includes stage: requirement analysis, in requirement analysis stage, the system portrait of the system under test is carried out, and system portrait list is output;Scene design, in scene design stage, fault location, fault type, steady-state index are gradually determined according to requirement analysis result;Case output, in case output stage, case writing is carried out according to scene design result, wherein, in requirement analysis stage, the system under test is imaged from application service, product component, high availability requirement three aspects, the high availability verification point of the system under test is sorted out, and system portrait list is output.The chaos engineering case design method according to the present application, after case design, execution, defect repair, can reduce the probability of system reliability production event occurrence and influence degree to a certain extent, and can be applicable to most bank cloud native business system.

This invention provides a method and apparatus for joint system simulation verification based on multi-source data injection. Based on a preset task objective, the invention constructs a virtual training environment model in a simulation platform, including geographical environment, force units, task scenarios, and dynamic interference factors. Realistic simulation data is dynamically generated based on the virtual training environment model. False feature codes and dynamic intensity noise signals are generated, purified, and then injected into the real system under test to generate corresponding control commands. These control commands are fed back to the simulation platform, driving the entity state update in the virtual environment and evaluating performance indicators through a digital twin module. This invention can accurately reproduce the joint system operation state under complex real-world scenarios, comprehensively evaluate system functionality, real-time performance, anti-interference capabilities, and decision optimization, significantly reduce verification costs, and provide technical support for the stability and reliability of multi-system joint operation.

The invention discloses an ESC power-on and power-off dormancy durability test method and system, and the method comprises the steps: S1, building a test environment, enabling a to-be-tested ESC vehicle body stabilization system, a network test tool and a VBA message analysis simulation tool to be connected to the same test bench communication network, and deploying a TAE automatic test tool; s2, regulating and controlling the network test tool to enable the network test tool to inject a high load into the test bench communication network, and enabling a bus load rate to be stabilized in a preset target interval; s3, starting a durability test, controlling and activating the VBA message analysis simulation tool by the TAE automatic test tool so that the VBA message analysis simulation tool begins to collect an ESC core message according to a set sampling rate, and starting log recording; s4, the TAE automatic testing tool executes the power-off-dormancy-power-on circulation process according to the preset number of cycles until all cycles are completed, and meanwhile the network testing tool continuously monitors and maintains the load rate stable. According to the method, the ESC communication can be fully, effectively and reliably verified, and the communication fault risk of the ESC under the cyclic dormancy power-on working condition is eliminated.

The application particularly relates to a kind of natural ecology-based multi-agent automated testing system construction methods, comprising: obtaining the system change data corresponding to the measured system, and configuring the corresponding agent according to the system change data Intelligent body Agent;Determine the association between each Agent based on the function of the measured system;According to the function type of the measured system corresponding to each Agent, the association between the related Agents, the Agent of the target task type is constructed Corresponding agent cluster;Based on the agent cluster of the target task type and the Agent of other task types, an automated testing system is constructed.The method associates the growth process of natural ecological system with the structure of automatic testing system, simulates the structure of natural ecological system to construct intelligent automated testing software system according to the self-evolution mechanism of nature, so as to achieve the purpose of intelligently testing the measured system.

The application relates to an unmanned vehicle simulation test method, system, device and storage medium. The unmanned vehicle simulation test method comprises the following steps: receiving an interface call request of a measured system, and determining a standard interface call request conforming to a standard interface protocol based on the interface call request of the measured system; forwarding the standard interface call request to an adaptive plug-in corresponding to a target simulation tool, converting the standard interface call request into a native call instruction of the target simulation tool through the adaptive plug-in, and sending the native call instruction to the target simulation tool; and converting native response data returned by the target simulation tool into standard response data conforming to the standard interface protocol, and returning the standard response data to the measured system. The application realizes bidirectional conversion between the standard interface and the native interface of the target simulation tool through the adaptive plug-in, a new project does not need to redevelop adaptive codes, "one piece of measured code, seamless switching of multiple simulation tools" is realized, the adaptation cycle and the labor cost are greatly shortened, and the consistency of test results is improved.

In one example, a method includes receiving one or more test scenarios based on requirements for a system under test having one or more inputs, wherein a value for at least one input of the one or more inputs is undefined for at least one test scenario of the one or more test scenarios. The method further includes determining system intermediate values and system output values that are unambiguously derivable from defined system inputs for the one or more test scenarios. The defined system inputs are defined in the one or more test scenarios and not assumed or default input values. The method further includes determining coverage of one or more functional characteristics of each function of the system under test executed based on the defined system inputs. The method further includes validating the determined system output values that are unambiguously derivable from the defined system inputs.

This disclosure provides a simulation testing system, method, train, equipment, and medium for trains, applicable to the field of train simulation technology. The simulation testing system includes: a sensor simulation module for outputting operating status signals through virtual sensors corresponding to the system under test; a data acquisition card simulation module for processing the operating status signals and outputting digital operating status signals; a communication protocol simulation module for enabling the data acquisition card simulation module to transmit the digital operating status signals to a computer simulation module via a predetermined communication protocol; a computer simulation module for collecting its own performance index data using a virtual computer with a predetermined system configuration type; and a server simulation module for generating simulation test results based on the performance index data, and determining a predetermined configuration scheme as the target configuration scheme for the system under test if the simulation test results meet preset conditions.

The application discloses a test case generation method based on reinforcement learning, which is used for solving the problems of strong manual dependence and low coverage rate of the existing state machine graph test case generation method. The method comprises the following steps: obtaining a state machine graph of a system to be tested, extracting states, transition conditions and assignment operations, and parsing a test path into an operation node queue; assigning a wide value interval to an initial input variable; constructing a reinforcement learning environment model based on dynamic promotion, encoding node progress, variable interval and constraint into a state space, and narrowing the interval boundary into an action space; training an intelligent agent by using deep reinforcement learning, dynamically narrowing the variable interval in node promotion, and obtaining an optimal narrowing strategy; and solving a new test path by using the trained intelligent agent, and outputting a variable feasible region and a representative test case satisfying the constraints of the whole path. The application can be widely applied to software system testing of state machine modeling, and improves path coverage rate and test case generation efficiency.

The application relates to a test case combination optimization method and system and an optical quantum computing device. The method comprises the following steps: constructing a candidate test case set based on the configuration parameter dimension and constraint relationship of a system to be tested; mapping and encoding the set and a functional coverage requirement into a quadratic unconstrained binary optimization model; solving the model by using the optical quantum computing device to obtain a binary solution vector; extracting a target test subset according to the solution vector and converting the target test subset into a standardized test case data structure containing operation sequences for sequentially executing by a classical computer. The application realizes combination optimization through quantum computing, significantly compresses the number of test cases while ensuring high coverage, and decouples quantum decision and classical execution through a standardized data structure, thereby realizing efficient and engineering feasible heterogeneous collaborative automatic testing, and further solving the effective collaboration problem of test case combination optimization and automatic execution in a multi-dimensional and multi-constrained software test space in the related art.

The application discloses a test-oriented software quality evaluation method and device, which is used for rapid, automatic and multiple quantitative evaluation of a quality state of a software or system under test in a software test process. The method and device are used in the software test process, and only test data such as software problem scale can drive the evaluation model to automatically operate, so that the cost of carrying out a software quality evaluation activity in the software test process can be reduced, and the efficiency and feasibility of the software quality evaluation can be improved. The extended comprehensive evaluation set vector used can be customized and adjusted by a user, so that flexibility of the evaluation model is ensured.

This application provides an automated testing method and system for circumvention control based on multi-dimensional identification rules. The method includes acquiring the configuration information of the network system under test and generating a rule verification list based on the configuration information; the rule verification list is used to mark specific test indicators of the network system under test; generating a test case set based on the rule verification list; performing scenario simulation based on the test case set and extracting the circumvention system response dataset during the scenario simulation; performing full-dimensional analysis based on the circumvention system response dataset to obtain a test report; the test report includes rule vulnerabilities, performance bottlenecks, and optimization suggestions; generating an optimized test case set based on the rule vulnerabilities in the test report, performing iterative testing until preset indicators are met, and adjusting parameters based on the configuration information of the network system under test according to the performance bottlenecks and optimization suggestions. This application solves the limitations of existing circumvention identification technologies through the above solution.

Embodiments of the present disclosure relate to methods and apparatuses for improving test case efficiency for vulnerability detection. A method for testing operation of a system under test (SUT) includes obtaining, by a test evaluation system, an automation job request for implementing an automation job on the SUT, obtaining a current state of the SUT in response to the automation job request, performing factor analysis on the current state using a test result database to determine a set of factors that potentially cause a failure of the SUT; determining an action based on the set of factors using an experience module and an exploration-exploitation trade-off (EET) value; modifying the automation job based on the action to obtain a new automation job, executing the new automation job on the SUT to obtain a result; calculating a reward corresponding to the result, and updating the experience module based on the reward, the current state, the action, and a new state of the SUT.

This application provides a resilient testing method and apparatus for unmanned systems, relating to the field of artificial intelligence technology. Step 1: Input the initial test cases of the proxy prediction model corresponding to the actual system under test into the criticality prediction model to determine the criticality score of the initial test cases; Step 2: Determine key test cases from the initial test cases based on the criticality score and criticality threshold, and predict test deviations based on the actual test cases and key test cases of the actual system under test; Step 3: Correct the criticality prediction model based on the test deviations while collecting actual test cases online to generate an updated criticality prediction model; Step 4: Repeat steps 1-3 using the updated criticality prediction model according to the preset maximum number of tests to determine the final key test cases. This improves the resilience of intelligent testing technology in testing different models of unmanned systems and enables rapid optimization and adaptation of the test case library.

This application relates to the field of software testing technology, specifically to an interface testing method, apparatus, device, and storage medium, to address the problems of inflexibility, low efficiency, and poor security in software testing processes. The method is applied to a testing tool server and includes: receiving pre-configured encryption / decryption rules from a testing tool client, wherein the encryption / decryption rules are determined by the testing tool client based on the system characteristics of the system under test; dynamically loading the encryption / decryption rules; receiving test information of the interface under test of the system under test from the testing tool client; dynamically invoking an encryption function associated with the interface under test to encrypt the plaintext request message in the test information according to the interface under test and the encryption key associated with the interface under test; receiving a response message returned by the system under test after processing the encrypted ciphertext request message, and decrypting the response message using the decryption function associated with the interface under test and the decryption key.

The invention relates to a computer-implemented method and system (1) for determining the probability of occurrence (10) of a trigger condition (11) for a system weakness (12) of a system (14) to be tested, in particular an automated driving function (15) of a motor vehicle, comprising modeling (S3) of the trigger condition (11) by a prediction model (18), in particular a Markov model, for determining the probability of occurrence (10) of the trigger condition (11) for the respective system weakness (12) of the system (14) to be tested based on the first and second data set (DS1, DS2).

This invention discloses a network security level protection risk analysis system, comprising a system connection unit, a pre-assessment unit, a formal assessment unit, and a result verification unit. The system connection unit is used to establish a connection with the system under test. The pre-assessment unit is used to pre-assess the system under test before the formal assessment and to obtain rectification points. The formal assessment unit is used to submit the system under test and formally conduct the level protection assessment. The result verification unit is used to compare and analyze the results of the pre-assessment unit and the formal assessment unit. The pre-assessment unit includes an information filing module, a self-assessment module, and a physical security assessment module. The network security level protection risk analysis system disclosed in this invention optimizes the efficiency of the formal assessment, reduces the cost of repeated submissions, and is easy to operate, can be implemented on the same computer, and also reduces the frequency of data turnover of the system under test.

A pressure testing method, a pressure testing system and a pressure testing program product can realize efficient pressure testing of heavy interaction logic services such as games and social services while improving pressure testing coverage and maintainability. The pressure testing method is applied to the pressure testing system for controlling multiple virtual robots to perform multiple rounds of pressure testing tasks on the system under test. The virtual robot is a computing instance simulating the behavior of a client, comprising: a first step of dividing the multiple virtual robots into multiple collaboration units according to a preset collaboration configuration, and establishing an association relationship between the collaboration units and the virtual robots; a second step of generating a round identifier and binding the round identifier to the collaboration units and the virtual robots; a third step of completing wake-up based on synchronous call requests initiated by the virtual robots in the collaboration unit for the collaboration unit, realizing the consistent timing of the virtual robots in the collaboration unit; and a fourth step of performing round switching according to a preset round strategy.

This application provides an automatic debugging system and a portable handheld device. The system includes: a scanning unit that scans at least two devices in a system under test and acquires device information for the at least two devices; an identification unit that determines the product models of the at least two devices in the system under test and the connection method between the at least two devices based on the device information; a modeling unit that models the system under test based on the product models and connection method to obtain an engineering architecture diagram of the system under test; and a programming unit that generates a test program for testing the system under test based on the engineering architecture diagram. This reduces the technical requirements for operators, shortens testing time, and improves the programming efficiency of the testing system.

The application discloses a test method, system, device and electronic equipment. The method comprises the following steps: receiving a first request message initiated by a test device in a test process; comparing the first request message with a request interception rule to obtain a comparison result; converting the first request message into a second request message based on a request processing strategy in the case that the comparison result indicates that the first request message meets a matching condition; receiving response data corresponding to the second request message returned by a server, and determining a test result of the test device based on the response data. The application solves the technical problem that the automatic test method in the related art needs to modify the code of a system under test to simulate multiple test scenarios, which results in low test efficiency and invasiveness to the system under test.

This invention discloses a method and system for intelligent verification of load synchronization vectors. The method includes: generating a test experiment wiring diagram marked with test points by calling a corresponding preset template based on configuration parameters input by the user and the real-time operating status of the power system under test; deploying data acquisition nodes at the process layer and interval layer of the power system under test according to the test experiment wiring diagram to construct a distributed acquisition network for collecting multi-source test data, and performing synchronization processing on the collected data; preprocessing the synchronized multi-source test data according to preset test tasks, and extracting key features after completion; analyzing the extracted key features according to preset test rules and discrimination criteria, determining whether the verification passes based on the analysis results, and generating a report. This invention can achieve efficient, accurate, and intelligent verification of load synchronization vectors.

This application discloses a testing method, a test data injection method, and a testing system. The method includes: obtaining a test plan for the system under test (SUT), wherein the test plan reflects the test requirements of the SUT under a target test scenario; determining test data corresponding to the test requirements; injecting the test data into the SUT through an upper-layer data interface, wherein the upper-layer data interface provides data services to upper-layer applications in the data link of the SUT; receiving the response result from the SUT after the test data injection, and determining the test result based on the response result. This application solves the technical problem of related technologies where testing methods directly inject data into the underlying server by modifying system configuration, resulting in strong invasiveness and poor flexibility in the SUT.

A system may receive information from a system under test, such as an automotive system under test, and capture multiple display streams from the system under test. The display streams may be processed and composited using virtual serializer / deserializer (virtual SerDes) operations that combine the multiple streams into a single super-frame format. The composited stream is then encoded and broadcast. The system may enable multiple users to simultaneously access and interact with the display streams remotely, with the virtual SerDes operations supporting numerous logical displays for software development and validation. The system may provide synchronized display viewing and allows dynamic switching between multi-display tiled views and single display views while preserving spatial and interleaved super-frame formats.