12 results about "Specific test" patented technology

The present invention discloses a method for automatically generating test cases for a spacecraft controller software based on a model, including: 1), formalizing and modeling the test requirements of a space vehicle, and modeling the states of the spacecraft and their transitions in the test requirements with a UML state diagram to obtain a standard model; 2), preprocessing the standard model, and converting the test information contained in the state diagram into a directed graph for storage; 3), obtaining test paths under different coverage criteria through the directed graph; 4), dividing the system input and output for each test path, and performing an equivalent class partitioning on the input space of this path. 5), performing an assignment operation on each equivalent class to obtain a sequence of specific test cases on this logical sequence. The present invention solves the disadvantage that there is no unified description method for spacecraft software requirements; it solves the disadvantage that in the current test process, the design of test scenarios completely depends on the experience of testers and cannot guarantee that the designed test scenarios effectively cover all the requirements of autonomous functions.

The present invention relates to the field of computer testing technology, and discloses a blockchain system testing method, system, computer device, and storage medium, including: obtaining attribute information and indicator information of a test item of the blockchain system; selecting a test case and a test script template for the test item from a preset test template library based on the attribute information of the test item; parsing the indicator information of the test item to obtain test variable data for the test item, and generating a test script for the test item based on the test variable data and the test script template for the test item; and calling the test script for the test item to perform blockchain system testing based on the test case of the test item to obtain a blockchain system test result. This method achieves test script solidification, requiring only obtaining test variable data to maintain the test script template to generate a test script, without the need to rewrite the test script for a specific test item. This method is highly flexible and greatly improves the testing efficiency of the blockchain system.

Disclosed are a genotoxicity test automation system and a method. The genotoxicity test automation system according to an embodiment of the present invention includes: a design unit that provides a plurality of preset test layouts for each test in response to receiving a test request for a specific test material from a user terminal and implements a complete test cycle design including test items and a test procedure according to one or more test layouts selected by a user through the user terminal; a test unit that receives and stores test data, obtained during a test carried out in accordance with the complete test cycle design, from the user terminal, provides report forms in the form of electronic documents pre-matched with each of the one or more test layouts, receives the test data transmitted in accordance with input items in the report forms, and generates a final report; and a verification unit that carries out a verification procedure for the test results according to preset test guidelines.

A system that automatically reduces test cycle time to save resources and developer time. The present system selects a subset of tests from a full test plan that should be selected for a particular test cycle, rather than running the entire test plan. The subset of tests is intelligently selected using metrics such as tests associated with changed code and new and modified tests.

The application discloses a kind of test device and test method for measuring front and rear stage fuze ignition delay time, test device includes simulation cabin section, probe, control console, oscilloscope, the measured fuze is installed in simulation cabin section, simulation cabin section is equipped with probe in front and rear two ends, probe is connected oscilloscope by wire, oscilloscope is connected control console, control console is connected measured fuze product by long-distance control cable.Testing method includes setting test equipment output, measured fuze product power on, product release, ignition output, delay time measurement.This test device is composed of test tooling and commonly used test equipment, tooling is convenient to make, equipment is simple to operate, and test device cost is low;This test device and test method are a kind of new test method, solve the safety factor problem of equipment and person in test process, also solve the problem that specific test is limited by test environment;The ignition delay time of measured fuze is accurate, can be accurate microsecond level.

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.

This invention discloses an evaluation method and system for AI-assisted tools based on a tag tree. The method includes: creating a corresponding source tag object and a source tag tree for each test case generated by the AI-assisted tool to be evaluated; in response to a test case generation event under specific testing requirements, inserting the corresponding source tag object into the source tag tree, initializing its tag state, and recording a first evaluation parameter; in response to a test case review event, locating the target tag object by querying the source tag tree and updating its tag state, and determining a second evaluation parameter based on the target tag object and the review operation type; upon completion of the review, generating a first evaluation indicator based on the first and second evaluation parameters, and generating a second evaluation indicator based on the source tag tree at the end of the statistical period; and generating an evaluation result based on the first and second evaluation indicators. This invention improves the accuracy of AI-assisted tool performance evaluation.

The invention discloses a test method and device, a storage medium and computer equipment, and the method comprises the steps: obtaining a use scene of a to-be-tested product in response to a test instruction; based on the sentence components, intercepting a plurality of first keywords from a preset test corpus associated with the use scene; randomly combining the plurality of first keywords based on the grammatical structure to generate a target test corpus; transmitting the target test corpus to the to-be-tested product; and determining a performance test result of the to-be-tested product based on the feedback response information and / or the feedback corpus of the to-be-tested product. According to the method provided by the invention, the new test corpus can be randomly spliced through the vocabularies of the existing preset test corpus for testing, so that the unpredictability of the test is increased, and the performance of the to-be-tested product under unexpected input can be found; and the test system can execute specific test tasks in different scenes without frequently modifying the test script and the automatic framework, so that the generalization ability of the test is improved, and the comprehensiveness of the test is ensured.

The invention relates to a dangerous scene discrimination method based on accident data, and the method comprises the following steps: 1, obtaining accident video data through related equipment, and recording a data source; step 2, analyzing constituent elements of an accident scene in the accident video data, and identifying causes and parameters of an accident; 3, reconstructing the scene in the simulation environment according to the constituent elements of the scene, generalizing and combining the parameters according to the identified parameters, and constructing a series of related simulation scenes in the simulation environment; and 4, performing a simulation test in a simulation environment, formulating a corresponding test standard according to a specific tested object, and screening out a dangerous scene according to the test standard. Compared with the prior art, the method has the advantages of solving the problem that key parameters cannot be directly determined through accident data, improving the test efficiency and the like.

This invention relates to the field of computer simulation and vocational skills assessment technology, and discloses an automatic assessment method for a simulation system applicable to vocational qualification certification. The invention establishes a simulation operating environment, configuring a distributed system including multiple candidate workstations, an assessment server, and a simulation model. Simultaneously, a set of benchmark parameters for the current assessment is set in the assessment server. Based on the benchmark parameter set, a fault template is randomly selected from a question bank, and specific test question data is dynamically generated in conjunction with the current simulation conditions. The test question data is distributed to designated candidate workstations. The system collects the sequence of operational events during the candidate's examination and the trajectory of the working conditions output by the simulation model in real time, thereby scoring the candidate. The scoring dimensions are based on two dimensions: the candidate's operational step matching rate and the final working condition deviation, making the candidate's final score more objective and realistic. An assessment report is generated based on the candidate's final score.

The invention provides an automatic test case generation method and system based on code change semantic analysis, computing equipment and a computer readable storage medium. In the method, when a user submits codes to a code hosting platform, code differences are obtained through a monitoring function; automatically extracting a changed function context through a code analyzer according to code differences, and analyzing a cross-file and cross-module calling relationship; in a test case generation and execution link, a standard test case format is output through a large language model, and an existing automatic test framework is automatically docked; besides, automatic and standardized test suggestion generation is realized through a customized large language model, and clear and definite test key points, risk prompts and test method suggestions are automatically output in combination with business contexts such as a historical defect library, a project background and a user scale; complete analysis records, case data, execution results and defect information are uniformly stored in a knowledge base to serve as basic data for continuous training of the large language model, and continuous optimization and iteration of the model are supported.

The invention relates to the technical field of embedded hardware debugging and testing, and discloses an OpenOCD-based automatic test platform, which comprises a test script library, a control module, an OpenOCD debugger, a log recording module and a version updating module, and is characterized in that the test script library, the control module, the OpenOCD debugger and the log recording module are sequentially connected; the test script library is used for storing and managing all test scripts, and each test script corresponds to a specific test case; the control module is used for controlling the OpenOCD debugger to automatically execute all test scripts in the test script library; the log recording module is used for recording and storing a test result of executing a test case by the OpenOCD debugger; and the version updating module is used for checking and downloading the updated version of the OpenOCD debugger and the updated version of the test script. According to the method and the device, manual errors can be reduced, the test efficiency is improved, and the reusability of the test case and the platform compatibility are improved.