356 results about "Test item" patented technology

The invention relates to a test case generation method and system based on multi-agent efficient collaboration, belongs to the technical field of software testing, and solves the problems of incomplete scene coverage, logic disorder and the like when a single large model processes a complex task. The method comprises the following steps: constructing a multi-modal professional field knowledge base; the task planning agent module generates a test case generation task based on a project development document and a software source code file of a to-be-tested project and distributes the test case generation task to the test demand analysis agent module; based on the test case generation task, extracting a test demand point related to the tested software configuration item, describing the test demand point, and labeling a corresponding tracking relationship between a test demand point ID and a code snippet or a function in the software source code file to construct a test demand-code snippet / function set; and generating a test case and a test description document based on the test demand-code snippet / function set and the multi-modal professional domain knowledge base. And the ability of generating the test case of the large model is enhanced through organic and efficient cooperation of multiple agents.

The invention discloses a POL power supply automatic test method based on modular design, and belongs to the technical field of power supply test. The method comprises the following steps: firstly, under the control of an upper computer, automatically reading POL power supply basic parameters including key characteristic parameters such as input / output voltage, rated current and frequency from a preset Excel table, and establishing a judgment reference for testing; then, instrument initialization is completed, communication connection with test equipment such as an oscilloscope, an electronic load and a direct-current power supply is established, and configuration of initialization function parameters is completed; then, executing a measurement task of each core parameter of the POL power supply to be tested, and in the test process, executing a parallel measurement management mechanism, namely configuring each instrument parameter and channel state in real time according to a specific test item, and triggering a retry or interrupt logic under the conditions of communication abnormality, data timeout and the like until the test recovers a running state; and finally, after the test is completed, performing Excel storage and interaction on the standardized test data and the waveform screenshot, and finally safely exiting. According to the POL power supply automatic test method based on the modular design, the whole test process is divided into a plurality of serial or parallel function processing units such as parameter reading, instrument initialization, test execution and test management, data storage and interaction and the like, and high efficiency and usability of a test system are achieved.

The invention provides an aero-engine test whole-process business management method and system, and belongs to the technical field of whole-process business management, and the method comprises the steps: extracting information in a test item information document and a tester information document, and determining structured data; on the basis of the structured data, forming an initial test plan, performing test personnel allocation optimization on the initial test plan, and determining a target test plan; generating a target test card on the basis of the target test plan, and continuously updating the target test card by adopting an editable block chain according to the data in the test process until the test is finished; and after the test is finished, the operation authority of the target test card is removed, and non-tampered and decentralized aero-engine test whole-process business data is formed. The information utilization efficiency of each link is effectively improved, the distribution rationality of testers is improved, and the safe storage of test data is ensured.

The embodiment of the invention discloses a test case generation method and device based on a service scene and related equipment. The method comprises the following steps: acquiring historical test data, and identifying and extracting entities and corresponding entity relationships in the historical test data through a pre-trained identification model; according to the entities and the corresponding entity relationships, storage is carried out in a triple form, and a test knowledge graph is constructed; analyzing based on the test document of the current test item, and determining the test requirement and the test item of the test document; based on the test requirements and the test items, matching corresponding standard triads and reference test cases from the knowledge graph and a preset test case library to obtain a target triad set and a target reference case; and generating a target cue word based on the test requirement, the test item, the target triple set and the target reference case, and generating a target test case through a pre-trained large language model. According to the method, the scene coverage of the test case is higher, and the logic continuity of the test case is improved.

The invention relates to the field of wireless product testing, and provides a multi-device cooperative closed-loop testing method based on state machine driving, and the method comprises the steps: monitoring the data output of a universal asynchronous receiver / transmitter (UART) interface of a tested device in real time; analyzing the data output by the UART interface of the tested equipment to identify the current running state of the tested equipment; dynamically generating at least one control instruction according to a preset state transition rule set and the identified current operation state; distributing the at least one control instruction to corresponding external test equipment to drive the external test equipment to execute corresponding test operation on the tested equipment; and repeatedly executing the steps of monitoring, analyzing, generating the control instruction and distributing, and automatically and continuously propelling the test process based on the response state of the tested equipment until all test items are completed. According to the technical scheme, multi-device closed-loop testing is driven through the state machine, and the testing automation degree and the process continuity are remarkably improved.

The invention relates to a test system based on a multi-modal knowledge base, belongs to the technical field of software testing, and solves the problems of insufficient reuse of historical project data and expert knowledge, lack of professional domain knowledge, illusion, low test case adoption rate and low practicability. The system comprises a knowledge base construction module used for constructing a hierarchical multi-mode professional field knowledge base; the preprocessing module is used for forming a standardized project development document and a software source code file of a to-be-tested project; the test case generation module is used for generating a test case and a software test description thereof based on the multi-modal professional domain knowledge base, the project development document of the project to be tested and the software source code file; and the test execution module prepares execution conditions according to the test case and the software test description thereof, and then executes the software test steps in sequence according to the input and operation description steps described by the test process to obtain an execution result of the test case. And knowledge-based and deep structured multiplexing of test assets is realized, and the test quality and efficiency are improved.

The invention provides a test data processing method and device, equipment and a storage medium, chip test data in a test file is read according to a preset frequency, and the latest read part of chip test data is refreshed and displayed on a data display interface, so that a user can monitor a test flow in real time in a chip test process, and moreover, the test efficiency is improved. A virtual batching function is provided, statistical analysis can be performed on obtained chip test data according to a preset statistical dimension at any time in a chip test process, statistical analysis data can be displayed, a sub-test file which can be analyzed by a test analysis tool is generated based on the statistical analysis data, and an analysis report is generated by utilizing the test analysis tool. A user can determine the test condition of each test item or each to-be-tested chip in the chip test process without waiting for the end of a chip test project, and abnormity can be found in time.

The invention provides an aero-engine test process data processing method and system, and belongs to the technical field of data processing, and the method comprises the steps: training a deep learning model based on sample test process data and a corresponding sample label, and obtaining a test process data processing model; the method comprises the following steps: acquiring multichannel original data in an aero-engine test process, and preprocessing to obtain preprocessed test process data; identifying the preprocessed test process data by adopting a test process data processing model to obtain an engine test data identification result; the test process data, the recognition result, the test item information corresponding to the recognition result and the test item progress form structured data and are stored in blocks; when the structured data is accessed, decryption is carried out, and a visual data model is generated and displayed. According to the invention, the data processing efficiency, the data utilization efficiency, the test efficiency and the data analysis capability in the test process of the aero-engine are improved.

The invention discloses an aerospace field test case generation method based on a knowledge graph. The method comprises the following steps: establishing a test field knowledge graph model comprising four layers of entities, namely a test item, a test case, a test process and a problem list; identifying test entities from a historical test document, and establishing inclusion, execution, generation and association relationships among the entities; filling the identified entities and relationships into the knowledge graph model to construct a knowledge graph, and optimizing the constructed knowledge graph; based on an input test item of a to-be-tested item, recommending a most relevant test case entity and a relevant test process and question list information thereof in the constructed and optimized knowledge graph; and inputting the recommended test case, test process and question list information into the large model to generate a structured test case text conforming to a project language style and a test environment. The invention aims to solve the problems of insufficient structuralization, weak reasoning ability and poor dynamic adaptability of the existing test case generation.

The invention discloses a high-speed parallel EMMC (Embedded Multi Media Card) test method and system. The method comprises the following steps: generating a test script; the test script comprises the steps of generating a protocol setting instruction based on an interface protocol type of the to-be-tested EMMC, generating a test command based on a test item type of the to-be-tested EMMC, and setting a test ending condition; based on the test script, testing a plurality of to-be-tested EMMCs in parallel through a plurality of test daughter boards comprising multiple channels, and collecting test parameters in real time; wherein different test items of each to-be-tested EMMC are tested according to a preset sequence; in the testing process, follow-up testing is adjusted based on testing parameters collected in real time and a preset optimization rule; and for each tested EMMC, when it is judged that a test ending condition is met, ending the test, returning a test result, analyzing the test result and outputting a test report. Through the automatic optimization strategy and the parallel test, the test efficiency can be improved, and the labor dependence and the test cost can be reduced.

The invention discloses an STDF file offline generation method and system suitable for various ATEs. The method comprises the steps that the composition sequence of STDF files is determined; acquiring a configuration file, wherein the configuration file comprises batch information, wafer information, test site configuration information, pin configuration information, hardware Bin definition and software Bin definition; analyzing ATE native test data, and obtaining a chip test start mark, multiple types of test item results and a chip test result; checking whether the first test site information is consistent with the second test site information or not, and checking whether hardware Bin information and software Bin information in a chip test result accord with a hardware Bin definition and a software Bin definition in a configuration file or not; and when all the verification results pass, generating an STDF file according to a composition sequence based on the configuration file, the chip test start mark, the test item result and the chip test result. The test efficiency can be improved, and the supply chain cost can be reduced.

The invention relates to the technical field of mainboard function test, and discloses a PCB mainboard function test strategy dynamic optimization method based on deep reinforcement learning. Comprising the steps of initializing a simulation environment, and obtaining an initial state vector; the actor network of the agent outputs a current action vector based on the state vector; the simulation environment executes the current action vector, updates the test probability of each test item, and simulates the test process; calculating a state vector at the next moment, and calculating a current reward value; storing the experience tuple in an experience playback buffer area; sampling an experience tuple from the experience playback buffer area, and updating parameters of an actor network and a comment network of the intelligent agent by using a near-end strategy optimization algorithm; the above process is repeated, and the test strategy is converged to a multi-target equilibrium solution under the maximum cumulative reward target. According to the method, the problem that an existing strategy cannot respond to the dynamic change of the production line in real time is solved, and multi-target collaborative optimization of the test cost, the defect omission ratio and the production line beat time is achieved.

This invention relates to an online testing method for engine assembly status, belonging to the field of engine testing technology. Addressing the problems of low efficiency and poor consistency in existing technologies, such as the difficulty in simultaneously assessing spatial installation and appearance using single-image testing methods, and the tendency to miss measurements in complex structural areas, this invention proposes acquiring color and depth images of the engine under test. Based on the component characteristics, it selects a camera mode from color-only testing, depth-only testing, and collaborative testing. Multi-view image acquisition is performed according to a preset testing scheme, and the results of each test item are obtained through a preset testing algorithm. Finally, the results are fused and judged to generate an overall result. This invention improves the targeting, accuracy, and coverage of the inspection, and is applicable to the field of online testing of engine assembly quality.

This application provides a testing method, system, device, and medium for power module alarm functions. The method includes setting up a standard storage environment within a current storage system and writing a test script into the current storage system; executing the test script; generating a test initiation prompt to guide the user to select test items and test types; receiving first feedback data generated by the user in response to the test initiation prompt, wherein the first feedback data includes the selected target test item and test type; if the test type included in the first feedback data is a functional test, then executing a first test rule to determine whether the power module alarm function corresponding to the target test item in the current storage system is normal; if the test type included in the first feedback data is a stability test, then executing a second test rule to determine whether the power module alarm function corresponding to the target test item in the current storage system is stable. This verifies the functionality and stability of the power module alarm function reporting.

This invention relates to the field of medical intelligent technology and discloses a method and system for intelligent recommendation of laboratory tests based on patient diagnosis and treatment information. The method includes: extracting clinical events from time-series diagnosis and treatment information to obtain standardized clinical events; determining the medical logical relationships of the standardized clinical events and labeling causal, temporal, and co-occurrence relationships to obtain labeled clinical events; constructing a disease evolution network with labeled clinical events as nodes and medical logical relationships as edges; analyzing the topology of the disease evolution network to obtain critical paths and hub nodes, and resolving the hub nodes as core clinical diagnosis and treatment intentions; associating and matching the core clinical diagnosis and treatment intentions with a pre-constructed dynamic correlation graph of test-intentions to obtain test item combinations; and ranking the test item combinations according to the clinical path fit based on the current diagnosis and treatment stage and individual characteristics to obtain a personalized test item recommendation list. This invention can improve the efficiency of test item recommendation.

The invention discloses a solid state disk test method and device, and relates to the technical field of computers, and the method comprises the steps: generating test environment configuration information based on a test environment adaptation benchmark of a plurality of versions of solid state disks, decomposing the NVMe protocol test of the plurality of versions of solid state disks into a plurality of atomic test items, clustering the plurality of function test items to generate a test case set of the solid state disk, and identifying an actual version of the target solid state disk; and calling the corresponding test environment configuration information from the test environment configuration information to execute the corresponding multiple function test items called from the test case set, and generating a structured test result of the multiple function test items. According to the method and the device, the problems that testing mostly focuses on basic function verification, coverage on new protocol characteristics and abnormal scenes is seriously insufficient, the testing time is very long and systematic analysis cannot be performed in related technologies are solved, and the technical effects of unified testing environment, full protocol characteristic coverage, one-button automatic execution and complete engineering of structured result output are achieved.

This application discloses an electronic document testing method, apparatus, storage medium, and electronic device. The method includes: searching for generation request message templates based on the identifier information of the target test item to obtain a target generation request message template for the electronic document to be generated corresponding to the target test item; performing data processing based on a preset parameter table of the target test item and the target generation request message template to obtain generation request messages corresponding to each test case of the target test item, wherein each generation request message carries randomly generated target identifier information; performing data processing based on the target identifier information and a preset download request message template to obtain download request messages corresponding to each test case of the target test item; and downloading each electronic document based on the download request messages to obtain test results. This application can improve the testing efficiency of the electronic document generation process.

The application discloses a method and system for unmanned aerial vehicle metrological test requirement analysis facing multi-parameter coupling, relates to the technical field of metrological test, and comprises the following steps: acquiring real environment interference parameters when a logistics unmanned aerial vehicle executes a delivery task; constructing a multi-environment coupling simulation test platform to simulate a real flight environment; controlling the logistics unmanned aerial vehicle to execute a predetermined flight action, collecting dynamic change data of key performance parameters of the logistics unmanned aerial vehicle; analyzing a coupling relationship between the real environment interference parameters and the key performance parameters, and establishing a parameter coupling model; and performing test items, test conditions and test indexes in the real flight environment to generate a metrological test requirement analysis report. The application solves the technical problem that, in the prior art, the dynamic change law of key performance parameters under the coupling action of multi-environment parameters cannot be explored, and as a result, the flight safety and performance reliability of an unmanned aerial vehicle in a real environment cannot be guaranteed.

This application relates to the field of electronic equipment technology, and discloses a device testing method, testing equipment, and storage medium. The method includes: loading and initializing a traffic classification module, a traffic isolation module, and an algorithm module at the kernel network protocol stack of the operating system of the device under test; using the traffic classification module to divert the test data of different test items to different queues based on the information of the test data of each test item in multiple test items; using the algorithm module to perform network impairment processing on the test data flowing through the traffic isolation module, so that the traffic isolation module outputs the impaired data; based on the impaired data, determining whether the network state of the device under test has been configured to a weak network state; if the network state of the device under test has been configured to a weak network state, evaluating the working state of the device under test, and determining the test result of the device under test based on the working state of the device under test. This application can test whether the device under test meets the requirements under a weak network state.

The invention provides a test method for testing a semiconductor device, which comprises the following steps of: executing at least one test item in a group of test items on the semiconductor device under a first environment condition; generating, by the machine learning model, an identification result based on the test results of the at least one test item, the identification result predicting at least one test result of performing one or more test items of the set of test items on the semiconductor device under a second environmental condition; and determining whether to perform one or more test items in the set of test items on the semiconductor device under a second environmental condition based on the identification result. According to the invention, based on the test result under the first environment condition, the machine learning model is utilized to predict and obtain the corresponding identification result, so that whether the test needs to be executed again under the second environment or not is determined according to the identification result.

The invention relates to the technical field of clinical examination quality control, in particular to an examination result quality evaluation system based on clinical specimen examination data, which comprises a data acquisition and processing module, a sequence construction and analysis module, a reference model construction module, an outlier identification and doubtful point marking module and a hierarchical evaluation and calibration module. The system constructs a time track sequence of a test item according to a detection timestamp, automatically divides stable and non-stable state time periods by calculating local fluctuation characteristics, and establishes a reference model based on stable time period data. The system can identify outlier records in an unstable period and automatically associate the outlier records with multi-dimensional information such as operators, instruments and specimen processing conditions to form a quality tracing chain. According to the method, the dynamic quality evaluation and root cause analysis of the test result are realized, the accuracy and tracing efficiency of anomaly detection are improved, and the construction of a hierarchical targeted calibration process is supported.

The embodiment of the invention provides a document generation method and device. According to the method, the test item can be hierarchically split through mind map node arrangement provided by the editing window, so that a tester can more clearly control the test coverage range, the risk of case omission is reduced, and the document generation precision is improved. Based on the document template and the target mind map, a test design document and a test case document are generated, and a demand tracking table is generated in the test design document. Due to the fact that the test design document and the test case document are from the same target mind map, the problem of information splitting of traditional scattered documents is avoided in the mode, the test design, the test requirements and the test cases have strong relation, and efficient tracking is facilitated.

The invention provides a chip test data writing method, a chip test data reading method and chip test data writing equipment. Relates to the technical field of chip testing, and is used for a metadata table and a test data table, the first dimension of the test data table is used for arranging multiple test items, the second dimension is used for setting multiple data steps, and the total number of the test items corresponding to each data step is smaller than or equal to a first numerical value. The metadata table is used for storing each test item included in the test data table and a main key value corresponding to the test item, the main key value is generated according to a to-be-written test item of the chip and a test result of the to-be-written test item, and the test item number of the test item and the main key value are correspondingly stored in the metadata table; according to the primary key value and the first numerical value, determining a target position of a test result in a test data table, the test result being a result obtained by executing the test item by the chip; and writing the test result in the target position of the test data table. Therefore, excessive rows or columns in the test data table are avoided, and the processing efficiency of the data table is improved.

The invention belongs to the technical field of semiconductor manufacturing and testing, and discloses a matching evaluation method, system and device of a WAT testing machine and a storage medium. The method comprises the following steps: acquiring test data of a target and a reference machine, generating comparability conditions based on information such as products and stations to perform data alignment and preprocessing, and outputting an alignment data set and a quality index; calculating a multi-dimensional feature vector including distribution, risk, trend and wafer spatial features for each test item based on the alignment data; the feature vector and the alignment quality index are fused, a difference score is calculated, and evaluation is carried out in combination with a self-adaptive threshold value dynamically generated based on historical data and parameter importance; and finally, outputting a difference parameter list and an evaluation result, simultaneously introducing an AI model to carry out comprehensive judgment, and continuously optimizing through a feedback closed loop. Through the method, automation, quantification and intelligentization of machine matching evaluation are realized, and evaluation efficiency, consistency and accuracy are remarkably improved.

A multifunctional integrated ground testing system for spaceborne equipment is disclosed, covering the multifunctional testing field of spaceborne equipment. It provides reliable support for the functional performance testing of spaceborne equipment. The system includes an integrated management module, a telemetry and data processing unit, an interface forwarding simulator, a Ka-band converter, an RF link network, an interface forwarding network, and power supply equipment. Adopting a modular design, it features data interaction between the various components of the integrated ground testing system, human-machine interaction, remote control command parsing and distribution, telemetry information parsing, display and storage, health information monitoring, and dynamic signal simulation parameter calculation and distribution. This system solves major problems such as the limited number of connected spaceborne equipment and the single nature of functional performance test items, providing reliable and stable technical support for the ground testing of spaceborne equipment.

According to some embodiments, a battery diagnosis device includes an interface configured to acquire battery data from a diagnosis target battery for each collection interval when a current cycle is initiated and a controller configured to determine whether the battery data passes test items for each collection interval and generate a first count value of the current cycle, accumulate a number of times the determination of the test items fails in the current cycle and generate a second count value of the current cycle, perform a first diagnosis on the diagnosis target battery based on a first accumulated value of the first count value for a first number of cycles, and perform a second diagnosis on the diagnosis target battery based on a second accumulated value of the second count value for a second number of cycles.

The application relates to a TBOX testing method, device, equipment and storage medium. In the scheme, first, the test item of the TBOX needs to be determined, then the corresponding first target data is generated according to the test item, the TBOX is controlled to upload the first target data to a national standard platform, second target data corresponding to the test item is grabbed from the national standard platform, and then the test result is generated according to the second target data and a test standard. The test standard is a test standard corresponding to the test item. It can be seen that the application can automatically generate the corresponding first target data according to the test item, automatically upload the first target data to the national standard platform through the TBOX, and automatically generate the test result according to the test standard and the second target data grabbed from the national standard platform. The whole process can realize the automatic test of the test item without the participation of the test personnel, and the test speed and accuracy of the TBOX are improved.

The present application relates to the field of integrated circuit automatic test equipment, and discloses an asynchronous execution method and system for ATE test machines.The asynchronous execution method comprises the following steps: an SDK module forms a plurality of executable tasks from test item interface instructions issued by an upper computer and stores the executable tasks in a task stack; the SDK module polls tasks in the task stack, judges the executability of the tasks and processing modules; if the tasks are executable, the SDK module further judges whether lower modules participate; according to the judgment result, the SDK module processes the tasks by itself or distributes the tasks to an ATOS module for processing or distributes the tasks to an FPGA module through the ATOS module for processing; the SDK module, the ATOS module and the FPGA module asynchronously process the assigned tasks at the same time; and after the tasks are completed, the processing results are returned to the task stack; after all subtasks of the current test item are completed, the SDK module loads tasks of the next test item until all test items are completed.

The application provides an air traffic control primary radar signal processing automatic test method and system, relates to the radar test field, and solves the technical problems of fragmentation of the prior art process, single evaluation dimension and poor traceability. The method specifically comprises: obtaining radar test data and structured test configuration; recursively analyzing the test configuration to generate an instruction set; loading data and executing signal replay according to the instructions to drive the software; synchronously collecting video data and processing results of each stage to form a multi-dimensional feature sequence; correlating and analyzing the two and extracting features to generate a holographic feature vector sequence; progressively comparing the sequence with a baseline determination model in layers to obtain a test determination result; integrating test item identifiers, video data, multi-dimensional feature sequences, holographic feature vector sequences and test determination results to record and generate a final test log report. An end-to-end automatic, multi-dimensional deep analysis and full-link evidence tracing radar automatic test method is realized.