39 results about "Combinatorial testing" patented technology

The invention relates to the technical field of Web component testing, in particular to an automatic test case generation method, system and device for a Web component and a medium, and the method comprises the following steps: extracting a front-end frame type and code features to which the Web component belongs, constructing a visual state transition network, and constructing a unified data flow diagram; based on the code features, the visual state transition network and the unified data flow diagram, semantic reasoning is carried out by utilizing a large language model to generate a test path combination, and a minimum complete test case set is generated by applying a combination test algorithm; generating a composite assertion logic; frame type conversion is executed, and the minimum complete test case set and the composite assertion logic are converted into test codes capable of being executed by a front-end frame type; the test code is executed, and the minimum complete test case set and the composite assertion logic are updated and circulated based on Web component change or test failure in the execution process. According to the method and the device, the Web component automatic test which is high in accuracy, cross-frame adaptive and capable of realizing continuous self-healing can be realized.

The present disclosure relates to a system for a test. More particularly, the present disclosure relates to a continuous loadable module-typed system for a test, a computer readable storage medium containing instructions to configure a processor to enable a continuous loadable module-typed system for a test, and a method for testing a sample. The exemplary embodiment of the presently disclosed system may be configured to support (i) single tests, (ii) batch tests, (iii) syndromic tests and / or (iv) combination tests. In addition, the exemplary embodiment of the presently disclosed system automatically processes and tests samples based on identification information, without requiring the user to classify and load the samples according to test type.

The invention provides a coverage-driven OSC2.0 format scene generation method and device, and the method comprises the steps: analyzing an OSC2.0 abstract scene file, extracting parameters and constraint conditions, and discretizing continuous parameters according to a preset step length; defining a coverage index based on a k-wise combination test idea, and determining a to-be-covered parameter value and a combination set P; calculating a potential value of each parameter combination com and a vulnerability hole set, preferentially selecting the com with the most vulnerabilities, and determining a parameter value of the com; updating the vulnerability set for the remaining unassigned parameters, selecting the parameter with the most vulnerabilities, determining the value of the parameter in combination with the k-wise combination coverage improvement effect, adding the value into the current com, repeating until the remaining parameters have no vulnerabilities, and completing assignment according to constraints to generate an OSC1.0 concrete scene; and adding the concrete scene into the test set, updating the coverage degree and the vulnerability set, and stopping generation until the coverage degree reaches the standard or no vulnerability exists. According to the application, the OSC2.0 and the OSC1.0 can be efficiently connected, the scale of the test set is controlled, and the coverage integrity is guaranteed.

The invention relates to the technical field of computer networks, and particularly provides an interconnection test method and system for the access of a swan gap system, and the method comprises the steps: obtaining interconnection transmission associated data of access equipment of the swan gap system, carrying out the preprocessing of the interconnection transmission associated data, and obtaining a multi-dimensional test data set; extracting interconnection adaptation features and data intercommunication features from the multi-dimensional test data set, and constructing a combined test index matrix containing feature linkage logic; inputting the combined test index matrix into a distributed test platform, simulating a multi-network and multi-protocol interconnection transmission scene and collecting test indexes to obtain interconnection test data; analyzing and visualizing the interconnection test data to generate an interconnection test report; and identifying and extracting interconnection access defects in the interconnection test report, and generating optimization suggestions according to the interconnection access defects. According to the invention, the stability and compatibility of cross-terminal and cross-brand interconnection of the swan gap system are remarkably improved, and the high-standard test requirement in a complex interconnection scene is met.

The invention discloses a parameter sensitive database fuzzy testing method and system based on combination testing, and the method comprises the steps: obtaining a coverage basic block set of each parameter through static taint analysis, generating a weight value of each parameter, and further determining a priority parameter combination set; training the condition generation probability of each SQL characteristic class under specific parameters through coverage rate feedback, and constructing a test sample generation scheme corresponding to the parameters; and finally, generating parameters and corresponding test samples through the weight data generated in the training stage, and checking execution results of the test samples through an oracle machine. According to the method, the parameter weight and the characteristic generation probability are adjusted through static analysis and the code coverage rate, intelligent scheduling of high-value test paths is achieved, the test efficiency and the coverage rate are improved, meanwhile, the problem of parameter combination space explosion is solved, and an innovative solution is provided for quality assurance and performance optimization of a database system.

The invention discloses a surge protection device board-level function on-line test method, particularly relates to the technical field of electric measurement and power electronic protection, and is used for solving the problem that fine on-line evaluation on the real protection capability and the degradation state of a plurality of surge protection devices on a circuit board is difficult under the condition that equipment is not stopped and the board is not disassembled. A node topology model and baseline equivalent parameters of a circuit board bus, a load and each surge protection device are established, a fluctuation-controlled online test window is selected during operation, controlled micro-surge excitation is applied to a target node, and a state index of each surge protection device is solved by combining multiple rounds of combined tests on the basis of multi-node synchronous acquisition; therefore, the real protection capability of a plurality of surge protectors on the board is subjected to refined online evaluation under the conditions of no shutdown and no board disassembly, degenerated but incompletely invalid devices are identified in time, and the surge protection margin of the credible circuit board is given.

The invention relates to a driver monitoring system test evaluation method based on a simulation robot. Comprising the following steps: step 1, constructing a simulation robot for a DMS test; 2, designing a DMS test simulation robot control system; step 3, establishing a DMS system; step 4, generating and evaluating a test case; according to the method, firstly, a simulation robot used for DMS testing is constructed, then a steering engine is selected and arranged, and fine control over fatigue actions of the simulation robot is achieved through control of a microcontroller; a python language is used as a development basis, modular design is adopted, eye detection, head posture estimation, attention evaluation, parameter configuration, a camera interface and the like are included, and a detected DMS system is deployed; and finally, based on the national standard and the actual driving behavior, generating an efficient and high-coverage test case set by adopting a combined test theory, and executing through a control system, so that the problems of low efficiency, high cost, uncontrollable action, insufficient scene coverage, lack of a standardized evaluation system and the like of the existing DMS test method are solved.

Disclosed are methods and systems for determining the contribution value of content used to train a machine learning model and for detecting whether specific content was used in model training. In some embodiments, a processor encodes input sequences and ground truths, performs a plurality of tests for rarity or salience, and combines test results to quantify contribution value. The approach may support various data types and enables efficient, reproducible assessment of informational value for content attribution, licensing, and compliance.

The invention relates to the technical field of water conservancy and hydropower engineering deformation monitoring equipment, in particular to a communicating pipe type monitoring equipment pipeline system response time and measurement error automatic testing device which comprises a communicating liquid supply system, a sensor device, a communicating pipe system, a data acquisition device and a control workstation. According to the communication pipe type monitoring equipment pipeline system response time and measurement error automatic testing device, through integration of the high-precision sensor and the simulation system, whole-process automation from data acquisition to time response is achieved, compared with a traditional manual testing method, the testing efficiency is improved by 90% or above, manual reading errors are eliminated, and the testing accuracy is improved. The original programmable modular pipeline system realizes accurate control and combined test of multivariable variables such as temperature, pipe diameter, pipe length and liquid type for the first time, improves the applicability of the hydrostatic leveling device in hydraulic structure deformation monitoring, expands the application range, and solves the problem that automation of hydraulic structure deformation monitoring cannot be realized.

The invention relates to an API test case generation method and device and a medium. The invention provides an API (Application Program Interface) test case generation method. The method comprises the following steps: extracting parameter metadata of one or more API parameters from an API definition document; a dependency relationship model among the one or more API parameters is established according to the API definition document, the dependency relationship model comprises one or more constraint rules, and the constraint rules in the one or more constraint rules are used for describing constraints among values of the corresponding API parameters in the one or more API parameters; generating one or more value combinations of the one or more API parameters using a combinatorial test algorithm and weighted random sampling according to the dependency model; and inputting the generated one or more value combinations into a predefined test template to generate one or more API test cases.

This application discloses a switch testing method applied to an automated testing platform, comprising: obtaining a test command; retrieving target test cases from a test case library corresponding to each functional module according to the test command; combining the target test cases to obtain combined test cases; and testing the target switch using the combined test cases. Applying the technical solution provided in this application enables more comprehensive switch testing, covering more probabilistic issues and reducing subsequent maintenance costs. This application also discloses a switch testing device, electronic device, and computer-readable storage medium, which similarly possess the aforementioned technical effects.

The invention discloses a combined test method and device, a storage medium and electronic equipment. The method is applied to a satellite internet system, and specifically comprises the following steps: firstly, acquiring at least two configuration parameters, a combined constraint condition and a target number for indicating parameter dimensions in the satellite internet system, and further generating a combined test case based on the configuration parameters, the combined constraint condition and the target number; by analyzing the coverage rate of the combined test case and the full test case to optimize and update the combined test case, the test accuracy of the satellite internet system is effectively improved, so that the technical problem that the generation accuracy of the combined test case is relatively low is solved.

The invention provides a personalized federal learning method based on server dynamic combination optimization, which comprises the following steps that: firstly, a central server initializes a global model and issues the global model to a client, and the client trains a personalized model based on local data and uploads parameters; then, the central server receives the parameters and forms a public data set, loads a global model set and divides the data set; then, the central server generates a combination model and tests performance, records indexes, and sorts and selects an optimal combination model; and finally, the central server issues the optimal combination model to the client for local reasoning, the optimal combination model is output after a convergence condition is reached, and training is continued if the convergence condition is not reached. According to the method, the combined test is migrated to the central server, so that the calculation burden of the client is remarkably reduced, the global model and the personalized model are dynamically matched, cross-client common knowledge is reserved, global information loss is reduced, the method is excellent in performance under non-independent identically distributed data, and the performance and reliability of federal learning are remarkably improved.

The present application provides a multi-core consistency test method, device, electronic device and storage medium, which relate to the field of chip testing technology. The method includes: obtaining at least one set of test parameter combinations, the test parameter combination is used to indicate the identity of the processing core participating in the test, the test model to be used and the attribute information required for the test; parsing the test parameter combination, respectively determining the tester processing core, the checker processing core and the test model; according to the test model and the test parameter combination, respectively controlling the tester processing core and the checker processing core to execute the corresponding test process, and obtaining the test results corresponding to the test parameter combination; according to the test results corresponding to each test parameter combination, analyzing and obtaining the consistency test results between each processing core. This method can control the processing cores participating in the test to execute the consistency test according to the test process of the test model indicated in the test parameter combination, thereby realizing multi-core consistency testing based on software programs, with high test efficiency.

The application discloses a kind of communication tunnel test data generation method and its device, electronic equipment, it is related to automatic test technical field, wherein, the test data generation method includes: determining initial configuration item;Based on target strategy dependency graph, configuration item extension is carried out to initial configuration item, obtains multiple target extension configuration items and at least one target extension configuration item value corresponding to each target extension configuration item, wherein, target strategy dependency graph is constructed by multiple configuration items and multiple constraint relations;Based on initial configuration item, all target extension configuration items and all target extension configuration item values, at least one combination test data for communication tunnel is generated.The present application solves the technical problem that different test data combinations are difficult to cover in related technologies, and there is a risk of missing measurement.

The present invention discloses a method for evaluating the adaptation of an MCU chip. The method comprises: determining the corresponding MCU computing power requirements based on each application scenario of a vehicle controller; abstracting the computing power requirements of each MCU based on computing elements to construct MCU operation assessment test cases corresponding to each application scenario; determining the assessment ratio or weight of each MCU operation assessment test case based on the proportion of the demand for MCU computing power of each application scenario, combining each test case based on the assessment ratio or weight to form a combined test case; performing MCU operation assessment tests on each MCU chip based on the combined test case to obtain the minimum execution time of the typical algorithm corresponding to the combined test case for each MCU chip to complete; and determining the most suitable MCU chip based on the minimum execution time. The present invention implements the evaluation of the computing power adaptability of the MCU chip based on the computing requirements of the vehicle controller application scenario, which can reduce the time and cost of MCU selection and adaptation.

The invention discloses a function test method and device for an Internet of Things platform and a medium, and relates to the technical field of data processing. Comprising the following steps: injecting predicted continuous operation state parameters of each target device into a dynamic field of a corresponding attribute template to obtain a basic test scene; querying an abnormal event in an abnormal strategy table according to the service scene label, and injecting the abnormal event into the basic test scene to obtain a combined test scene; constructing a first test case for testing basic functions of the Internet of Things platform according to the equipment normal behavior event sequence in the combined test scene, and constructing a second test case for testing an abnormal problem processing function of the Internet of Things platform according to the equipment abnormal behavior event sequence in the combined test scene; and executing the first test case and the second test case on the Internet of Things platform to obtain a basic function test result and an abnormal problem processing function test result. The problem that the modeling and automatic coverage capability for complex scenes of equipment dynamic evolution and multi-terminal collaborative dependence is lacked at present is solved.

This invention discloses an adaptive testing optimization method for AI card hybrid precision mode, belonging to the field of artificial intelligence and AI accelerator card testing technology. The invention first classifies AI tasks and collects load characteristics, constructing an AI business load library containing the operational characteristics of multiple AI tasks. Based on the operator precision sensitivity classification, corresponding precision types are matched. Precision combination test cases are adaptively generated in conjunction with the business load library. Then, the resource constraints of AI card computing power partitioning instances are used to complete the matching, screening, and parameter adjustment of test cases. Finally, testing is completed through dynamic load injection, and an adapted configuration scheme is output after multi-dimensional quantitative evaluation. This invention realizes intelligent testing of AI card hybrid precision mode, improves test scenario coverage and execution efficiency, effectively adapts to single-card multi-instance deployment scenarios, and provides reliable parameter support for the business implementation of hybrid precision mode.

The invention relates to a software testing method and device based on use case automation, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a test request of to-be-tested software, obtaining a request file corresponding to the test request, and generating a test case corresponding to the request file; updating case parameters in the test case to obtain an updated test case; performing combination processing on the updated test case to obtain a combined test case; debugging the combined test case to obtain a debugging result of the combined test case; under the condition that the debugging result shows that the combined test case is debugged successfully, sending the combined test case to a server side corresponding to the client side; and the server side is used for distributing the combined test case to an execution server corresponding to the server side, so that the execution server performs test processing on the combined test case to obtain a test result of the to-be-tested software. By adopting the method, the software testing efficiency can be improved.

The application relates to the technical field of HiL testing, and discloses a single and joint debugging HiL testing method based on multi-controller dynamic switching, which comprises the following steps: S1, configuring test parameters, selecting a test mode and a measured controller combination through an upper computer control unit, wherein the test mode comprises a single test mode and a joint debugging mode; S2, constructing a target test loop through a relay switch box according to the test parameters, wherein the target test loop is a single controller test loop or a multi-controller linkage loop; S3, running a simulation model through a real-time processor, generating simulation working condition signals and transmitting the simulation working condition signals to the measured controller, and realizing signal interaction between an integrated HiL test cabinet and the measured controller through IO board cards and communication interface cards; and S4, collecting feedback signals of the measured controller and operation data of the target test loop, uploading the feedback signals and the operation data to the upper computer control unit for analysis and processing to generate a test report, so that full coverage of single testing and joint debugging of multiple controllers is realized, and the completeness of the test is ensured.

The invention discloses a Pairwise combination test case generation method based on mixed integer programming, and aims to solve the problems of more redundancy of test cases, insufficient complex business constraint expression, unstable result and the like in a multi-parameter system. According to the method, a Pairwise test problem is modeled into a mixed integer programming (MIP) problem, design comprises constraints such as factor level unique selection, parameter mutual exclusion and key combination inclusion, linear processing of a nonlinear target and constraints is completed by introducing auxiliary variables, and the problem is converted into a mixed integer linear programming (MILP) model. And global optimization is carried out by utilizing an existing mathematical programming solver, so that a minimum test case set covering all parameter pairs is generated, the test redundancy is remarkably reduced, and the test efficiency and quality are improved. The method has strong complex constraint processing capability and result stability, is suitable for combination testing of embedded complex software systems, Internet of Things complex software systems and the like, and has good practical value and popularization prospect.

The invention discloses a vertical unauthorized detection system based on dynamic role configuration and automatic batch testing. The vertical unauthorized detection system comprises a CSV test case management module; an authority simulation module; the test scheduling and execution module is used for integrating a Jenkins scheduling center and a JMeter test engine; a time sequence storage module; and a visual billboard module. Through combination of a Jenkins dispatching center and a JMeter test engine, unauthorized detection of thousands of interfaces can be completed at a time, and the efficiency is improved by more than 90% compared with manual test; and moreover, an allowable role combination field is defined in the test case file, a multi-role combination test is covered, more than 99% of permission boundary scenes can be covered, and repeated work of a traditional single-role test is avoided.

This invention relates to the field of autonomous driving simulation data processing technology, and discloses an autonomous driving simulation testing method and system based on a large-scale agent model. The method includes: acquiring autonomous driving test requirement text; executing risk scenario combinations; performing test case orchestration preprocessing; executing autonomous driving closed-loop simulation testing; and performing anomaly attribution and iterative control. Compared to existing technologies where autonomous driving simulation testing relies on manual breakdown of test requirements, especially under complex risk conditions such as sudden crossings by traffic participants, it fails to achieve continuous linkage between test cases, test execution, and anomaly attribution within the simulation scenario. This application achieves continuous closed-loop processing of autonomous driving simulation testing from requirement analysis to test iterative control by using a large-scale agent model to structurally parse test requirements and sequentially applying the test task description set to risk scenario combinations, test case orchestration, and closed-loop simulation execution.

The application discloses a kind of test case generation method for SCADE model, by reading the XML document of SCADE model automatic generation, obtain the information of safety state machine in model, the state and transition in safety state machine model are converted into the node and edge in directed graph;Then depth traversal directed graph, obtain state transition path;To alleviate the combination explosion problem of transition condition, using combination test algorithm AETG, optimize transition condition, obtain transition condition path;And using shielding algorithm carries out the logic value of meeting MC / DC coverage, according to the mapping of transition condition restriction to specific data, generate specific test case for each transition condition, to realize a kind of test case generation for SCADE model.

The embodiment of the invention provides a solid state disk wide-temperature reliability test system and method. The system comprises an upper computer, a test board, a control board and a high-low temperature box. The upper computer can obtain a test work order, issues a work order configuration instruction according to the one-way control panel and the high-low temperature box of a tester, and generates test result information according to test data. A temperature cavity is arranged in the high-low temperature box, the measurement and control module of the control board is arranged outside the temperature cavity, and the test interface is arranged in the temperature cavity and connected with the test board. The control board can convert the work order configuration instruction into an operation execution instruction and send the operation execution instruction to the test board. The test board can execute test control on at least one tested hard disk in the temperature cavity and collect test data. According to the system, a plurality of instruction combination tests can be realized, a plurality of test items are covered, and complex and changeable test requirements are met. Moreover, the next instruction test is automatically switched after the single instruction test is finished, so that the test efficiency is improved.

The invention discloses a loader cooling system testing device and a control method, belongs to the technical field of engineering machinery, and solves the problems that the design of an existing cooling system lacks heat radiator and fan permutation and combination test data, the whole machine heat balance test is repeated, the cycle is long, and the cost is high. The device comprises a heat source simulation module, a temperature acquisition module, a control module, an execution module, a data acquisition module, a human-computer interaction interface and a data storage module. The heat source simulation module simulates the environment and the temperatures of engine inlet air, cooling liquid and the like. The temperature acquisition module acquires temperature and transmits the temperature to the control module and the data storage module; the control module controls the execution module to adjust the distance between the core body and the fan and the fan angle; the data acquisition module acquires adjustment parameters for storage, and the man-machine interaction interface sets parameters; the method comprises the following steps: simulating working conditions, comparing temperature with preset limits, adjusting parameters, keeping the temperature standard, and accumulating data; the performance of the cooling system can be tested, matching of the radiator and the fan is verified, and support is provided for design improvement.

The present invention proposes a credibility measurement method and system for unmanned driving multimodal perception algorithms, constructs a data-driven virtual simulation test platform, and statistically analyzes its characteristic distribution based on real measured data. The end-to-end closed-loop perception process is characterized by dynamic model modeling and state transition. Subsequently, in response to the problem that the high dimensionality of scene parameters leads to the inefficiency of traditional combination testing methods, the present invention establishes a black box substitution model between scene parameters and perception test results, and uses a Bayesian optimization algorithm to evaluate historical test data to generate the most adversarial scene parameters in the next iterative test. In this way, the adversarial nature of the test environment is continuously improved, and the test efficiency is effectively improved. Finally, the present invention constructs a perception algorithm credibility measurement module, extracts perception failure scenarios by replaying test data, and constructs a credibility evaluation index system to achieve a comprehensive credibility evaluation of the perception system under test.

A model content security evaluation method based on a multi-modal risk evaluation data set relates to the technical field of artificial intelligence, and comprises the following steps: constructing a security evaluation reference data set containing texts and images; selecting a test category according to the test parameters, determining corresponding image test data according to the test category, dynamically associating corresponding text test data according to the image test data, and generating combined test data; inputting the combined test data into a to-be-tested generative large model, and outputting generated contents including pictures and / or videos; and inputting the generated content into an AI detection system to automatically identify the risk, and carrying out manual confirmation to obtain a content risk assessment result. According to the method and the device, more comprehensive, dynamic and accurate safety assessment of the multi-modal generative model is realized.

The invention discloses an automatic test method and system for a solid-state relay matrix switch card, and belongs to the technical field of relay matrix switch testing, and the method comprises the steps: a control end generates a traversal test instruction and issues the traversal test instruction to a tested card; the tested card forwards the current conduction instruction to the testing device; the test device applies a test voltage between the target row line and the column line and collects a response current; judging an electrical state according to the current and generating a result; the system comprises the test upper computer, the special test board and the power supply, the special test board is connected to the tested card at a time and matched with the upper computer to conduct automatic traversal scanning, signal lines do not need to be manually and repeatedly disassembled and assembled, forward and reverse test voltages can be automatically switched through the H-bridge circuit, and the test efficiency is improved. The test efficiency and accuracy are greatly improved, and the method is suitable for large-scale production automatic test of the solid-state relay matrix switch card.