8 results about "Standard result" patented technology

The invention discloses a DO385 test case set-based ACAS X software standard conformity verification method, which comprises the following steps of: generating a test sequence table according to 7 groups of 422 test cases specified by DO385 through software programming, and supporting realization of various programming languages; aCAS X software is operated, and TRM, STM and COST result files are generated by taking the test sequence table cases as input; comparing a result file with a standard result file provided by DO385 through computer software programming, recording variables and errors which do not meet the tolerance requirement, and updating the test sequence table according to a comparison result; correcting the ACAS X software for the failed use case, and iteratively testing until all 422 test cases pass; the standard conformity can also be compared in batches and visually by using automatic folder comparison software. By setting and updating the test sequence table, a systematic and optimized test process is provided, iteration is achieved, the implementation mode has flexibility and universality, and an effective method is provided for standard conformity verification of ACAS X software.

The application relates to a test method, a test device, a computer device, a storage medium and a computer program product. The method comprises the following steps: obtaining a to-be-tested process identifier; obtaining a standard process corresponding to the to-be-tested process identifier in a test case library according to the to-be-tested process identifier, and updating a standard result corresponding to the standard process in the test case library to obtain an updated standard result; executing an operation corresponding to the standard process to obtain a target result corresponding to the to-be-tested process identifier; and determining a test result corresponding to the to-be-tested process identifier according to the target result and the updated standard result. The method can improve test efficiency.

This invention provides a method, apparatus, and device for automatic conversion of API result codes. The method includes: implementing the CommandLineRunner interface to perform a data refresh upon project startup, converting the result codes into data stored in memory; defining static variables to store the API return result description key value and the API return result encoding key value in memory; periodically reading or manually refreshing the memory data to update the pre-stored result code data in memory; and before controlling the API to finally return the result, determining whether error code conversion is enabled. If not enabled, no conversion is performed; if enabled, regular expression matching is performed on the result codes to convert them into standard result codes and result descriptions for return. In this way, automatic conversion of error codes and descriptions is achieved by customizing whether error code conversion is enabled, configuring dictionary table data, and enabling external error code conversion.

The present application provides a chip verification system, method and verification device based on a generative constraint model. After the model generation module of the system obtains a test case in text form, it determines the generative constraint model by parsing the test case. The model includes constraint conditions for testing the to-be-tested functions of the chip and register configuration values of the registers for executing the to-be-tested functions. The register configuration module configures the register configuration values into the registers according to the constraint conditions so that the chip design module can execute the to-be-tested functions. The data transmission module receives the result after executing the to-be-tested functions and compares the result with the standard result for each sub-module. The entire simulation process runs on a hardware accelerator, and a simulation report is generated after the operation ends. Through the present application, the testing of the chip functions can be realized, and the test cases applied are in text form, so that the test cases can be obtained without compiling the code, improving the efficiency of obtaining the test cases and correspondingly improving the efficiency of chip verification.

Embodiments of this disclosure disclose a processor testing method, an electronic device, and a storage medium. The method includes: obtaining an initialization instruction; initializing a preset parameter in a storage space to a test input value based on the initialization instruction; controlling an operation unit to perform operation on the test input value, to obtain an operation result; and determining a test result based on the operation result. In the embodiments of this disclosure, the preset parameter in the storage space is initialized as the test input value based on the initialization instruction, so that a same type of operation units in all processor cores of a processor can concurrently perform same operation on the test input value to obtain the operation result. Frequent loading and caching of the standard result can be avoided during a testing process, thereby efficiently improving testing efficiency.

The invention belongs to the technical field of software testing, and discloses an airport operation index comparison testing method and system based on a large language model. The method comprises the following steps: constructing a standard case set in a standard case set construction module on the basis of collected operation index data; preliminary checking of the automatic inquiry test condition is completed; inquiry result acquisition is completed in a result acquisition module; inputting the inquiry result in the result acquisition module and the case set standard result in the standard case set construction module into a result comparison script for comparison; and a visual test report is automatically generated. According to the method, the time consumed by batch scene testing is shortened from the manual hour level to the minute level, automatic execution of daily average ten thousand level inquiry cases is supported, the test comprehensiveness is improved, numerical and text type indexes are covered, numerical error calculation and semantic similarity analysis are combined, the deviation between LLM output and a standard result is quantified, and accurate comparison is achieved.

The invention relates to a DRC test result verification method and device, equipment and a storage medium, and the method comprises the steps: executing a test case based on a to-be-tested tool, obtaining a test report of a to-be-tested circuit, and obtaining a standard result file corresponding to the to-be-tested circuit; establishing a matching instruction based on a preset test violation, establishing a to-be-tested matching instruction by adapting to the test report, and establishing a standard matching instruction by adapting to the standard result file; capturing a corresponding test result from the test report based on the to-be-tested matching instruction, and capturing a corresponding standard result from the standard result file based on the standard matching instruction; and matching the captured test result aiming at the same test violation with a standard result, and if the matching is detected to be successful, judging that the test result of the to-be-tested tool is correct. By adopting the method, the test accuracy of the self-developed to-be-tested tool can be efficiently determined.

The embodiment of the invention discloses a test method and test equipment of an application interface and a computer readable storage medium. The method comprises the steps of obtaining a target picture and an initial prompt word set of a target application interface, analyzing the target picture by a target multi-modal large model in response to the initial prompt word set to obtain a test result set, screening out a target visual question and answer task according to the test result set and a preset standard result set, and displaying the target visual question and answer task. And determining a composite prompt word set corresponding to the target visual question and answer task, and transmitting the composite prompt word set to the target multi-modal large model, so that the target multi-modal large model responds to the composite prompt word set to test the target application interface. The target multi-modal large model provided by the embodiment supports a question-asking mode of cue words to output the answer result of the visual question-answering task, even if the version of the target application interface is iterated, the visual question-answering task of the UI test is not easy to change, which means that the cue words corresponding to the visual question-answering task are not changed, and the user experience is improved. The embodiment of the invention has relatively high reusability.