54 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.

A combined test apparatus includes: a selection unit that refers to combined test definition information in which a test automation tool and an execution order are associated with each of a plurality of test scenarios constituting a combined test for an information system and then selects the test scenario and the test automation tool in accordance with the execution order; a test execution unit that executes, for the information system, the selected test scenario by using the selected test automation tool; and a determination unit that determines whether or not the combined test has been successfully performed based on at least some of results of the execution of the plurality of the test scenarios executed in accordance with the respective execution orders.

The invention belongs to the technical field of automatic driving test, and particularly relates to an automatic driving vehicle key test scene generation method based on a large language model. The method comprises the following steps: 1, converting accident video data into semantic text description by a general large model, and establishing an accident video text library; 2, performing parameter fine adjustment on the open source large model by using the accident video text library, so that the large model has key features for identifying accident data; 3, inputting the design operation domain element conditions of the tested system into the fine-tuned large model, and generating a scene type meeting the test requirements according to the characteristics of the tested system; and 4, according to the scene type and the scene key elements output by the large model, performing parameter combination on the key elements by using a combination test method to generate key scene parameters. The invention solves the problem that the existing scene generation method is difficult to comprehensively consider the natural driving accident data characteristics and the design operation domain constraint of the tested system.

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 provides a model selection verification method and system of to-be-tested equipment. The method comprises the following steps: acquiring combined test information corresponding to test positions of to-be-tested modules; for each to-be-tested module, testing by using the corresponding test equipment according to the combined test information, and obtaining test data of each to-be-tested module in each group of preset data; judging whether the to-be-tested module meets a preset test requirement or not when each group of prediction data in the combined test information is tested; the test data comprises voltage, current, temperature and rotating speed of the to-be-tested equipment during testing; and when each to-be-tested module meets the preset test requirement, considering that the to-be-tested equipment meets the verification requirement of model selection. Through simultaneous testing of multiple modules, flexible load simulation, real-time data acquisition and analysis and the like, the problems of single test, poor working condition adaptability, test feedback lag and load simulation are avoided.

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 present invention discloses a resistor test method and a test device, which relate to the field of resistor performance testing. The test device includes a control module, a data acquisition module, and a test basic module. When a start signal is received, a target test experiment is determined according to a preset test sequence, and the test basic module is controlled to construct a corresponding target test environment so that the resistor performs a target test in the environment. When the resistor is determined to have passed the target test according to the test parameters collected by the data acquisition module, a new target test is determined according to the preset test sequence, and finally various tests are automatically completed according to the preset test sequence. The present application only needs to be installed once to complete various tests by constructing a target test environment through the test basic module, and the target test is any one or a combination of several of N test tests, and single or multiple combination test tests can be completed, with better test results, which is beneficial to the performance test verification of the resistor.

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 provides a control combination test method and device, electronic equipment and a storage medium, and the method comprises the steps: analyzing a test demand in a target test scene, and generating a test fragment set based on an analysis result; acquiring controls in a target test scene, and establishing a temporary control set; based on the test fragments in the test fragment set, selecting controls in the temporary control set and generating a test case set; and executing the test cases in the test case set for testing, and obtaining a test result in the target test scene. Compared with the prior art, the design of the test fragment set enables the test cases to be more standardized and normalized, each test fragment aims at specific test requirements and scenes, various test scenes can be covered more comprehensively, the complexity of the test cases is reduced, and therefore the possibility of test omission is reduced; and the test fragments are independent and reusable units, and can be flexibly combined and reused in different test scenes and test cases.

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 discloses a two-parameter combination testing method based on a genetic algorithm, and belongs to the technical field of software testing. The two-parameter combination test method comprises the following steps: defining a priority value for each value of each parameter to be tested through a priority determination rule; obtaining M candidate test cases by adopting a greedy algorithm according to a one-dimensional expansion strategy and the priority of each value of the to-be-tested parameter; encoding candidate test cases to obtain an initial population, then using the genetic algorithm provided by the invention to evolve the initial population, and when the genetic algorithm stops, selecting an optimal individual and adding the optimal individual into a test case set; and limiting the execution of the steps for certain times according to test conditions, and testing according to the sequence of the test cases obtained in the test case set during testing. The problems that under the condition that resources are limited, key parameters and combinations cannot be fully tested, the test case generation time is too long, and the defect detection rate cannot pass are solved.

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.

The invention relates to the field of automatic driving, in particular to an automobile automatic driving system combined test method, electronic equipment and a medium. The automobile automatic driving system combination test method comprises the following steps: determining a matching threshold value corresponding to each functional scene according to the complexity and risk degree of each scene in a scene library; each scene comprises each function scene and each test scene; according to the comprehensive index of each function scene, the comprehensive index of the pre-selected test scene corresponding to each function scene, and the matching threshold value corresponding to each function scene, determining a primarily selected test scene; determining similarity according to each function scene and the primarily selected test scene; determining the effectiveness of the primarily selected test scene according to the comprehensive index and the similarity of the primarily selected test scene and the coverage rate of the primarily selected test scene; and determining the test scene of each function scene according to the validity of the primarily selected test scene. The economical efficiency, comprehensiveness and accuracy of automatic driving testing can be remarkably improved, and the testing period is shortened.

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.

Dynamic Combinatorial Test Design (CTD) modeling includes querying, by a processing device, a system under test (SUT) to be tested based on a CTD model. The processing device receives, based on the querying, system configuration information including one or more system value sets each corresponding to an attribute of the CTD model. The processing device modifies the CTD model based on the received configuration information.

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 discloses a combination test method and device based on a time sequence input space model. The method comprises the following steps: firstly, constructing a time sequence input space model, and adding description of a safety key software input time sequence in the model; processing the input space model based on an improved particle swarm algorithm to generate a test case; and finally, sorting the cases in the test case set through a safety factor concept provided by the invention and a sorting algorithm fusing a hill climbing algorithm and a greedy algorithm, and giving an optimal test sequence. The case generation method provided by the invention consists of a model and an algorithm, realizes automation of the whole process, and solves the problem of automation of safety-critical software combination testing.

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 invention provides a method, apparatus, electronic device and storage medium for user interface testing of components. The method includes: obtaining a plurality of comparison test cases based on a comparison component library, and obtaining a plurality of benchmark test cases based on a benchmark component library; obtaining comparison combined components based on the comparison component library through composite pattern abstraction and permutation and combination of component elements, and obtaining benchmark combined components based on the benchmark component library; obtaining comparison combined test cases based on the comparison combined components, and obtaining benchmark combined test cases based on the benchmark combined components; performing user interface testing on the comparison component elements in the comparison component library based on the comparison test cases and the benchmark test cases, as well as the comparison combined test cases and the benchmark combined test cases, to obtain test results. By combining component elements and performing UI testing on the combined components in combination with the component elements, the present invention can quickly locate single-component errors with higher accuracy.

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.