52 results about "User testing" patented technology

The invention discloses a software automatic testing system based on generative artificial intelligence, which is characterized in that a software analysis module identifies attribute information of a UI component based on a multi-modal large model for a test object, and constructs a UI component knowledge graph according to a structured information document; the knowledge retrieval module receives the test requirements and retrieves related historical test cases, test scripts and related test data; the organization interaction module sends a test intention and demand information to the knowledge retrieval module for retrieval according to the input user test intention, and test demand knowledge is returned; sending the UI component knowledge graph to the software analysis module for searching the knowledge graph of the test object, and returning the UI component knowledge graph; a test generation module receives test demand knowledge and the UI component knowledge graph, and generates a test case and a test script; and the script execution module receives the test case and the test script, starts a test process and records a test result.

The invention provides an interactive system virtual test method and device based on multi-mode cognitive twin bodies. The method comprises the following steps: 1) constructing user cognitive twin: outputting a behavior decision tree with confidence through an adversarial generative network based on population attributes, cognitive preferences and behavior history; 2) creating a dynamic interaction environment: encoding a to-be-tested interface into a semantic graph structure which can be analyzed by a machine, and associating a physical operation constraint rule base; 3) running a multi-agent test: deploying a twin cluster in the virtual sandbox, and recording an operation path, an attention thermodynamic diagram and decision delay; and 4) generating a design defect map, namely, positioning an interface cognitive friction point by comparing the deviation degree of an expected interaction flow and an actual behavior track. According to the method, the problems that a traditional user test period is long and scene coverage is limited are solved, and early interception of interaction risks and design optimization preposition are achieved. The method can be widely applied to high-risk / high-cost / high-cycle test scenes of the man-machine interaction system.

The invention discloses a pediatric nursing practice teaching VR model generation method and system based on a training video, and relates to the technical field of artificial intelligence and virtual reality, and the method comprises the steps: collecting a pediatric nursing operation video for preprocessing, extracting a key motion frame, separating medical staff, a child patient and a medical tool, converting the key motion frame into an editable 3D model, and carrying out the recognition of the editable 3D model; acquiring multi-modal data corresponding to the pediatric nursing operation, matching the converted 3D actions with semantics through a multi-modal large model, and optimizing 3D conversion; key contact points are marked in the 3D action sequence to carry out collision detection point burying, an operation process is defined to generate a 3D animation sequence with interaction logic to construct a VR teaching scene, the reasonability of the operation logic is verified through user testing, and scene correction is carried out. Through video analysis, 3D element replacement and animation point burying technologies, intelligent generation of pediatric nursing VR teaching resources is realized, and a more efficient and more immersive solution is provided for nursing education.

The invention discloses an intelligent cabin user demand determination method and related equipment, and relates to the technical field of intelligent automobiles, and the method comprises the steps: carrying out the preprocessing of initial data generated by a user based on an intelligent cabin, and obtaining target data; inputting the target data into a target large model to obtain an initial demand report of the user output by the target large model; updating functions of the intelligent cabin according to the initial demand report; inputting test data generated by the user based on the intelligent cockpit after function updating into the target large model to obtain a user demand optimization result output by the target large model; and adjusting the initial demand report based on the demand optimization result until a target demand report meeting a preset requirement is obtained. According to the method, the user demands can be comprehensively and accurately collected and analyzed through the target large model, and the demand development efficiency and quality are improved; through user testing and demand adjustment, it is ensured that the developed intelligent cabin product better meets user demands, and the user experience is improved.

The invention provides a dynamic twinborn classification method and device for rule management, equipment and a storage medium, and the method comprises the steps: obtaining a static storage business rule and a logic classification tree with a hierarchical structure, and creating a copy of the logic classification tree for each user as a corresponding initial actual classification tree; acquiring historical data operated by each user in the logic classification tree, and adjusting the initial actual classification tree by using a machine learning algorithm based on the historical data to obtain a first classification tree; based on user test operation, using a reinforcement learning algorithm to adjust the first classification tree in real time to obtain a second classification tree; the logic classification tree and the second classification tree form a dynamic twinborn model; and performing rule management by using the dynamic twinborn model, controlling the display permission of the second classification tree at the corresponding user side through permission management, and updating the dynamic twinborn model by adopting a synchronization mode. According to the method, the dynamic twin double-model structure for rule management is set, so that the query efficiency is improved.

The invention relates to the technical field of vehicle testing, and discloses a testing system and method of an intelligent cabin car infotainment. The method comprises the following steps: receiving a touch instruction through the intelligent cabin car infotainment; in response to the touch instruction, triggering a first target preset function control in a preset function module; calling a background control service in the intelligent cabin vehicle-mounted terminal to execute a first target vehicle control function through the first target preset function control; recording data when the first target vehicle control function is executed through a log module, and generating a test log; and generating a test report according to the test log through a report module. According to the invention, the vehicle-mounted test application is developed in the intelligent cabin vehicle-mounted infotainment, the preset function control is independently configured, the user test directly triggers any one preset function control, the corresponding vehicle control test process can be automatically executed, the log module generates the test log, the report module generates the test report, a scheme of integrated automatic test is realized, and the test efficiency is improved. And the test efficiency of the intelligent cabin car infotainment is obviously improved.

The embodiment of the invention provides a simulation multi-user test method and device, and the method comprises the steps: loading at least one piece of user information through a preset user data pool; after a login request of the at least one piece of user information is obtained, configuring corresponding user test data; establishing at least one test scene based on a preset test requirement and at least one piece of user test data; and performing a simulation test through the at least one test scene to obtain a simulation test result. User information is loaded through a preset user data pool, test data is dynamically configured after login, a test scene is built based on a preset test requirement, a simulation test is executed to obtain a test result, multi-user concurrent operation is simulated, data consistency and performance stability of a system in a high-load environment are ensured, abnormal conditions are effectively recognized, and the system performance is improved. And the test efficiency and the coverage rate are improved.

The invention discloses a penetration test method and device based on a large language model, and the method comprises the steps: carrying out the analysis processing of input data according to the type of the obtained input data, and obtaining a penetration test target; the penetration test target comprises a user test target, first structured key information, second structured key information and an analysis result; based on the penetration test target, reasoning by constructing a penetration test task tree to obtain an optimized sub-task; the execution terminal executes the command to carry out penetration test to obtain a penetration test result; the terminal execution command is obtained by converting the preferable subtask. According to the invention, an automatic penetration test process driven by multi-source input data analysis and task reasoning can be realized, and the intelligent level and test efficiency of penetration test are improved.

A biological test system has receptacles for a variety of removable electro-mechanical biological blood test-based elements having multiple features such as lancets or strips. Testing is through an analysis biological test processor that provides results to a user test output with all designed to be contained in a pocket-transportable user biological test form factor that houses all elements. Biological test elements can be interchanged for multiple sensing modalities with automatic activation based on cartridge insertion of a glucose test element, an A1C test element, a ketone test element, or the like. Designs can include a user sampler configuration selector for a user sampling selection that may be analyzed so a user-personalizable, biological sampler control processor can automatically disable operation for test safety if a user sampling selection is determined to be unacceptable. The system can also provide a user cartridge action prompt, a user reselection prompt, or other action to clear the disable.

The embodiment of the application provides a performance test system and method of a memory access system, an electronic device and a storage medium, the system comprises a configuration module, a test starting module and a universal verification methodology (UVM) memory access performance test platform; wherein the configuration module is configured to form a data file according to user test requirements; the test starting module is configured to obtain the data file, generate a test case set according to the data file, and call the UVM memory access performance test platform to construct a verification environment according to a test case in the test case set and perform performance test on the memory access system; and the UVM memory access performance test platform is configured to construct a verification environment according to a test case in the test case set, perform performance test on the memory access system, and output a UVM test log.

A system, computer program product, and method for training users in phishing prevention may challenge a user with gamified user-specific phishing attacks for a user to encounter in a temporal pattern. Phishing data, including data relating to phishing techniques and actual and non-actual (fake) phishing attacks, may be generated or obtained and input to the training engine. User-related data, including user information, one or more social engineering vectors, or organization information relating to an organization, may be obtained and digitally manipulated. A sequential cross model training engine may process the phishing data and digitally manipulate the user-related data to generate training activities that include test phishing attacks. A gamification engine may generate gamified user-specific testing that includes two or more of the test phishing attacks in a sequence in real time. The test phishing attacks, which may be in a non-question format, may target the user in an XR environment.

The invention provides a comprehensive testing method and device for an agricultural machine microcontroller and a storage medium, and relates to the technical field of microcontroller testing. The method comprises the steps of firstly building a bidirectional data transmission link with a microcontroller to be tested, then converting a user test demand into a corresponding test instruction, issuing the test instruction, collecting original test data after a test is executed, carrying out standardization processing on the original data, evaluating a test state, if a result is abnormal, creating a correction response flow according to an abnormal type, and if the result is abnormal, completing the test. Re-establishing a link or evaluating to obtain a new result; according to the invention, automation and integration of the whole testing process are realized through a closed-loop process, a splitting link is not needed, manual equipment switching is not needed, comprehensive testing is completed in a one-stop manner, operation is greatly simplified, and efficiency is improved; the abnormality correction mechanism can optimize the process automatically, avoids test interruption, guarantees test continuity and reliability, and provides an efficient and stable solution for factory detection and regular maintenance of the agricultural machine microcontroller.

The invention belongs to the technical field of vehicle testing, and particularly relates to an intelligent analysis method, system and device for intelligent network connection vehicle test data and a medium, initial test data is received, and a test item identifier is printed based on a test event; generating a candidate test item option set according to a user test demand, and aggregating related data to form a target test item; generating a test strategy including test scenes, steps and evaluation indexes in combination with the knowledge base; analyzing data required by the strategy, and outputting an execution scheme; monitoring the environment and the data flow in real time during execution, and automatically repairing and recording when the environment and the data flow are abnormal; and if the test case fails, re-checking the associated exception record, and retrying after repairing if it is confirmed that the test case is caused by the exception. According to the invention, the intelligent and automatic formulation of the test scheme is realized, the reuse rate of historical test data is improved, and the reliability of test execution and the result accuracy are improved through environment monitoring and failure analysis.

The application discloses a dynamic plugging method in Java unit testing and belongs to the technical field of big data, and comprises defining three types of point interfaces, a point declaration and a point embedding, so as to solve the technical problem of providing different point implementation contents according to different user test scenes through the point declaration and the point embedding. The application is comprehensive and can cover more test scenes through plugging, including but not limited to extreme test condition construction, multi-thread scene testing, process / service shutdown testing and the like, and is flexible. In comparison with JMockit, the point embedding declaration position follows business code instead of unit test code.

The invention discloses a test case management method and device, equipment, a medium and a product. The method comprises the following steps: analyzing historical test data through a large model and a fault mode recognition model to obtain a private knowledge base of the large model; the private knowledge base comprises a base knowledge base and a dynamic association rule; based on user test requirements and a private knowledge base, test parameters meeting the user test requirements are determined through a large model; and generating a target SQL test case meeting the test requirements of the user according to the test parameters. According to the embodiment of the invention, the coverage rate and accuracy of the test case can be improved.

The present invention discloses a hierarchical software radio communication device testing system and method. The testing system adopts a hierarchical design, including an integrated management layer, an application layer, an intermediate layer, and a hardware resource layer, which decouples the application software from the hardware resources, improving the openness and scalability of the system; the system conducts tests hierarchically to ensure the comprehensiveness and efficiency of the tests; the test content includes the overall system architecture, hardware platform, software platform, and waveform tests, comprehensively covering the existing software radio technology institution standards and having a complete testing ability. The testing method includes: processing the user test tasks and the configuration parameters of the software radio communication device under test to obtain test task instructions and configuration parameters, using the test task instructions and configuration parameters to test the software radio communication device under test to obtain test data, and judging the compliance of the test data to obtain the test results.

The FPGA prototype verification platform of the verifiable EMMC user interface of the application, by introducing the testcase module to output the user test instruction data corresponding to the same test operation of the EMMC chip connected with the user design interface to the EMMC chip, so as to determine whether the user design interface is correctly connected to the hardware link in the external EMMC chip through the FPGA prototype verification platform, and the problem positioning process is simplified.

The invention discloses an automatic test method and device for a vehicle, the vehicle and a storage medium, and the method comprises the steps: obtaining a plurality of vehicle test instructions and a user test demand, and the plurality of vehicle test instructions comprise a use case generation instruction, a task generation instruction and a use case execution instruction; generating a vehicle test case according to a user test demand and the case generation instruction; generating a vehicle test task according to the vehicle test case and the task generation instruction; and automatically testing the vehicle according to the vehicle test task and the use case execution instruction. The technical problem that in the prior art, when a large model is used for carrying out automatic testing on a vehicle, due to the fact that the large model is prone to illusion, the testing accuracy is low is solved.

The present invention discloses a Beidou short message communication test method and system with cloud collaboration, belonging to the technical field of satellite navigation and satellite communication. The method includes connecting multiple Beidou short message PPP-RTK positioning devices, converting the message data format; formulating a user test plan, and conducting Beidou communication tests for the test plan based on the spatio-temporal information of the positioning devices; visually displaying the status of the Beidou communication test plan; conducting visual display according to the Beidou communication test results, and establishing a test database; outputting a customized Beidou short message communication test report. The present invention realizes the automated and less-manpower PPP-RTK satellite-based augmentation positioning test based on Beidou short messages, and fully evaluates the service efficiency of Beidou short message communication in PPP-RTK.

The embodiments of the present invention provide an AP test method and system based on PCF to simulate multi-user access. When a single network card simulates multi-user data transmission, it is simulated into the working state of real multi-network cards through a central coordination method. When switching users, the wireless network card parameters are reset to achieve the simulation of multi-user hardware differentiation. At the same time, the wireless network card controller uses the central coordination method for data transmission. Each simulated user will communicate with the AP as a real network card according to the scheduling of the wireless network card controller, making full use of the characteristics of WiFi half-duplex communication. At the same time, there is no longer any medium resource competition operation among the simulated users. Only when data is transmitted, the communication medium is occupied by interacting with the AP through RTS / CTS. It can simulate the scenario where the same number of real network cards are distributed to compete for access to the AP communication, which can not only meet the differences required for multi-user testing, but also meet the requirements for the number of multi-users on the premise of cost savings.

The invention provides an automatic testing method and device for man-machine interaction software of a Kylin system, and solves the technical problem that an existing testing method consumes a large number of testing manpower resources. The method comprises the following steps: preparing a test environment and test data according to a test scene, and forming behavior quantitative data of user interaction according to an interaction purpose of a test process; forming a test script according to the behavior quantification data to simulate user operation in the test process; continuously capturing an interactive interface feedback area formed by user operation feedback in the test process, and identifying effective information of the feedback area to form test feedback data; and forming a test report by analyzing the test expected data and the test feedback data. The test efficiency is improved through simulation of user test behaviors, human errors are reduced, and the test reliability is improved. Meanwhile, the consumption of human resources is reduced, the time and cost of manual testing can be greatly reduced, more testing scenes and function points are covered, and the coverage rate of testing is increased.

The application discloses a user identification method, device, equipment and computer storage medium. The specific scheme comprises the following steps: obtaining user test report MR data of a target area to be identified in a preset time period, wherein the user MR data comprises latitude and longitude data of the user; determining a first user of the target area by using a preset clustering algorithm and the latitude and longitude data of the user, wherein the first user is a resident user in the target area; determining a first area in the target area according to the latitude and longitude data of the first user and a preset extension parameter; determining a second user in the first area by using a preset search algorithm according to the latitude and longitude data of the user in the first area and a preset distance threshold; and taking the first user and the second user as target users of the target area. According to the embodiment of the application, the accuracy of user identification of the target area can be improved.

The invention provides a system development workload determination method and device, equipment, a medium and a program product. Relates to the technical field of computers. The method comprises the steps of determining a first workload and a second workload according to a function point unit workload, a function point modification proportion, a function point complexity and a function point number corresponding to a stage in a demand analysis stage and a design development stage aiming at a data line demand in a system development process; in the integration testing stage, third workloads needed by stock function regression integration testing and difference function integration testing are determined, and in the user testing stage, fourth workloads needed by participation of developers are determined on the basis of the third workloads; and determining the total workload corresponding to the data line demand in the system development process. According to the scheme, the workload required for executing the function points can be subjected to fine-grained determination, and the workload can be determined more comprehensively and accurately by considering the investment of developers in a user test stage.

The invention relates to the technical field of insurance science and technology, in particular to an insurance product test issuing system and method. The system comprises a generation module used for obtaining a target insurance product issuing link and preset payment information issued by a user test end, and generating target insurance data based on the target insurance product issuing link and the preset payment information; the uploading module is used for generating a target image according to the target insurance data and uploading the target image to a preset insurance system for verification; the signature module is used for performing read file confirmation operation and signature operation of a target person in an insurance buying process under the condition that the target image file passes verification; and the payment module is used for carrying out payment operation by utilizing the preset payment interface and the preset payment information and generating a target insurance policy. Therefore, through the insurance product test issuing system, the problem of long issuing time in the insurance product test process is solved, and the issuing efficiency is improved.

A method is provided for generating tests to distinguish between humans and computers. The computer may include a machine learning model. A reference sample is selected from a first category. A first plurality of samples are selected from the first category. The samples may be images. Adversarial examples are created for one or more of the first plurality of samples. Each of the adversarial examples is created for one or more other categories different from the first category. A second plurality of samples are selected from the one or more other categories different from the first category. Adversarial examples are created for the first category from one or more of the second plurality of samples. The reference sample and the first and second plurality of samples modified into adversarial examples are presented to a user for testing to determine whether the user is a human or a computer.

This invention discloses a method for rapid and stable temperature control of a refrigeration system compartment. The method includes: acquiring the current target temperature and the actual temperature of the temperature-controlled compartment; obtaining the current temperature deviation of the temperature-controlled compartment based on the current target temperature and the actual temperature; determining the current control mode of the electronic expansion valve of the temperature-controlled compartment based on the current temperature deviation and the preset temperature deviation; and adjusting the opening degree of the electronic expansion valve according to the current control mode. This method enables rapid and stable temperature regulation of the compartment, shortening the time for the compartment temperature to reach a stable state, allowing the equipment to quickly reach the testing state, improving user testing efficiency, and simultaneously reducing the output of the heater during temperature balancing, achieving energy-saving operation of the equipment.

The embodiment of the invention discloses an automatic testing method and device for an intelligent mattress, equipment, a medium and a product. The automatic testing method comprises the steps that at least one to-be-tested module is determined from a function module set of the intelligent mattress according to the testing requirement of a user; for any to-be-tested module, detection information corresponding to a test item of the to-be-tested module is extracted from the automatic standard test library, and the detection information comprises detection steps and detection standards; executing a detection step on the to-be-tested module to obtain detection data, the detection data including normal data and abnormal data; determining a test result of the to-be-tested module based on an analysis result of the abnormal data and the normal data; the test result comprises a reference judgment result of abnormal data; and determining a test report of the intelligent mattress based on the test result of each to-be-tested module. According to the technical scheme, automatic testing of the intelligent mattress is achieved, the labor cost and personal errors are reduced, and the accuracy and reliability of intelligent mattress testing are improved.

The application provides a multi-user test method, system and electronic device, comprising: in response to receiving a session creation request, generating a test session corresponding to the session creation request and storing; in response to receiving at least one test instruction, obtaining a target test session corresponding to each test instruction in the at least one test instruction in at least one configured test session respectively, and respectively delivering test engineering information of each target test session to a corresponding test head, so that the test head corresponding to each target test session tests a device under test based on the corresponding test engineering in parallel. Thus, the same chip test equipment can support differentiated test tasks of different devices under test, greatly improving the utilization rate, test concurrency rate and execution efficiency of the chip test equipment, and significantly enhancing the business competitiveness.

The invention discloses an ARM-based test method, device and equipment and a storage medium, and belongs to the technical field of computers, the method comprises the following steps: obtaining a test demand instruction input by a user, and analyzing the test demand instruction to obtain user test demand information; extracting a test demand type based on the user test demand information; based on the test demand type, obtaining a first test data set corresponding to the test demand type; analyzing the test data, and updating the first test data based on an analysis result to obtain a second test data set; and testing the second test data set to obtain a test result. According to the method and the device, the corresponding first test data set is accurately acquired according to the type of the test requirement, and the first test data set is analyzed and further updated, so that the test is more accurate, and the technical problem that the test effect is poor when the test is performed based on the ARM embedded platform is solved.

The invention provides a function test method and device, a test server, a test client and a system, and relates to the field of data processing, in particular to the technical field of large language models, artificial intelligence, cloud computing and smart cities. The specific implementation scheme is as follows: obtaining a user instruction sent by a target user, wherein the user instruction is sent by calling a test monitoring port; performing intention recognition processing on the user instruction to obtain a user test intention corresponding to the user instruction; generating a test task according to the user test intention and the target user; and the test task is sent to an execution server, so that the execution server executes a test process corresponding to the user test intention to obtain a response result corresponding to the user test intention, and the response result is displayed in the test permission window and the target user is prompted. According to the embodiment of the invention, the regional limitation of automatic testing can be reduced, and the efficiency and accuracy of automatic testing are improved.