7 results about "Specific test" patented technology

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 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.