28results about How to "Improve test coverage" patented technology

The invention relates to an SPD hub chip testing method and device, equipment and a storage medium. The method comprises the steps that if it is determined that a to-be-tested SPD hub chip is placed in a replaceable limiting frame of a test seat and communication connection is established with an upper computer, target environment parameters are set, the to-be-tested SPD hub chip is initialized, the upper computer is in communication connection with the test seat, preset test data are written into an EEPROM of the SPD hub chip based on the target environment parameters, then read-back comparison is carried out, and the to-be-tested SPD hub chip is initialized; the static verification data is used for judging the static storage reliability of the to-be-tested SPD hub chip in the current environment, executing continuous read-write operation on the to-be-tested SPD hub chip to obtain a dynamic pressure test data set, and generating a test result of the to-be-tested SPD hub chip based on the static verification data and the dynamic pressure test data set.

This application relates to the field of wired remote control technology, and discloses a testing method, a wired remote control, and a wired remote control testing system. The wired remote control includes: a button control chip configured to acquire simulated button signals during testing, the simulated button signals being used to simulate the signals generated when a physical button is pressed; and a main control chip connected to the button control chip, configured to receive the simulated button signals and use these signals to test the firmware under test in the main control chip. Through this method, the dependence on physical mechanical structures can be eliminated, and the testing of the firmware under test in the main control chip can be achieved through interaction between the button control chip and the main control chip within the wired remote control, thus verifying the robustness, fault tolerance, and stability of the firmware under test in the main control chip.

The application discloses an SPI communication module and an SPI communication system, and belongs to the technical field of integrated circuits.The SPI communication module comprises an SPI function module and a test module, and the test logic of the test module and the function logic of the SPI function module are independent of each other.The test module comprises a plurality of test registers; the plurality of test registers are configured based on a CPU, and control the SPI communication module to work in a normal mode or a test mode; when the SPI communication module works in the normal mode, the test module does not work, and the SPI function module normally performs a communication function; when the SPI communication module works in the test mode, input signals and output signals of the SPI function module can be monitored through read-write access to the plurality of test registers, so that the test of the SPI communication module is realized.The design can help users to quickly locate an error source, reduces the test difficulty, improves the test efficiency, and simultaneously improves the test coverage.

The application relates to the technical field of mobile terminal automatic testing, in particular to a mobile terminal full-scene automatic testing system based on AI visual identification and a testing method thereof, which comprises a backend control layer, an automatic driving layer, an AI visual identification layer, a time execution layer, a cross-platform adaptation layer and a tool support layer. The application reduces the dependence on UI element IDs in the mode of AI visual identification, does not need to modify scripts in iteration, can directly realize version control, improves the maintenance and testing efficiency, and has high positioning accuracy and compatibility.

The application discloses a test case generation method and device based on weighted graph double-path fusion and a product, relates to the technical field of software testing, and automatically extracts an entity list and a relationship triple from a requirement document and constructs a directed weighted graph, thereby replacing a traditional manual design and preset rule mode and improving the design efficiency of test cases; forward paths and reverse paths are generated by respectively performing forward search and reverse search, and a defect type value is added in the reverse search process, so that defects of the prior art which focus on normal flow verification and are insufficient in abnormal scene coverage are overcome, bidirectional coverage of normal flow and abnormal scene is realized, and test coverage and defect discovery capability are significantly improved; test cases are generated by matching and fusing the forward paths and the reverse paths and performing priority sorting on the fused paths, automatic and standardized generation of a test case set is realized, and the efficiency, comprehensiveness and quality stability of the test case set are improved.

The invention belongs to the technical field of avionics testing and signal simulation, and discloses an LVDT analog simulation circuit and a signal simulation method thereof, and the LVDT analog simulation circuit comprises a main control module, a communication interface module, an excitation signal processing module and a sensor signal simulation output module. The main control module receives an external displacement setting instruction through the communication interface; the excitation signal processing module comprises a DAC unit and an excitation conditioning unit and is used for generating amplitude control voltage and conditioning an external LVDT excitation signal; the sensor signal simulation output module serves as a core and comprises a difference value control unit, a sum value control unit, a summation unit and a differencing unit, a conditioned excitation signal and amplitude control voltage are synthesized through an analog multiplier and an operational amplifier circuit, and finally three-phase differential signals (a high end, a low end and a center tap) simulating a real LVDT sensor are output. A mechanical LVDT is replaced by a full-electronic mode, high-precision, programmable and flexible simulation of displacement signals is achieved, the device is particularly suitable for occasions needing high-reliability LVDT interface testing and verification such as an aviation flight control system, and the device has the advantages of being low in cost, high in flexibility and easy to integrate automatic testing.

This application provides a testing method, apparatus, device, and storage medium for intelligent cockpit interaction functions, relating to the field of software testing technology. The method includes: receiving a test command sent by a user through an instant messaging tool on a mobile terminal; wherein the test command describes the test intent in natural language; performing semantic parsing on the test command to generate structured test parameters; wherein the structured test parameters include at least the intelligent cockpit interaction module to be tested and the corresponding test environment; testing the interaction module to be tested according to the structured test parameters to obtain test result data; and providing feedback of the test result data to the user through the instant messaging tool. This method aims to reduce environmental dependence, improve testing flexibility and convenience, and increase testing efficiency and coverage.

The invention provides an automatic generation method and system for an expected function security scenarized test case, and the method comprises the steps: constructing an SOTIF real scene library based on an AI model, and the real scene library comprises scene metadata, an environment parameter template, an interference variable template and a security criterion template; a scene keyword input by a user is received, keyword analysis, scene library matching, parameter instantiation and case assembly are carried out through an AI model, and a scene test case is automatically generated; and scene logic verification is carried out according to the generated test cases, in response to meeting the scene logic verification, the priority score of each test case is calculated based on a pre-constructed priority ranking model, and the sequence of the test cases is determined according to the priority scores. According to the method, the test coverage rate is improved, the research and development period is shortened, the generated use case meets the ISO21448 standard, the method can be directly used for expected function safety test verification, and safe development and landing of intelligent driving products are supported.

The embodiment of the invention discloses an intelligent report testing method and device, computer equipment and a storage medium. The method comprises the steps of obtaining report test configuration information for a target report; collecting multi-modal page information of the target report through the access path; analyzing the multi-modal page information through an AI large model to generate configuration parameters and an adaptive script; before the target report is adjusted, acquiring a reference data snapshot and a reference visual snapshot of the target report through the configuration parameters and the adaptive script based on the access path; after the target report is adjusted, acquiring a real-time data snapshot and a real-time visual snapshot of the target report through the configuration parameters and the adaptive script based on the access path; and performing two-dimensional comparison on the target report according to the reference data snapshot, the reference visual snapshot, the real-time data snapshot and the real-time visual snapshot to obtain a test result of the target report. Through the scheme, the report test efficiency, the report test coverage and the test accuracy can be improved.

A method, apparatus, device, and storage medium for testing displays are disclosed. The method includes: determining multiple displays to be tested and display identifiers corresponding to each display; generating multiple initial injection events based on a preset event generation mechanism; determining the correspondence between the multiple initial injection events and the multiple display identifiers; binding each initial injection event to its corresponding display identifier based on the correspondence to obtain multiple final injection events; and executing the final injection events to test at least one display to be tested. The technical solution of this disclosure, by binding different initial injection events to their corresponding display identifiers to obtain multiple final injection events and executing the final injection events, can solve the problem that existing testing tools only support testing the main screen, thereby improving the system's test coverage.

This application belongs to the field of oil well logging tool technology, specifically a well logging tool reliability analysis method based on digital twins and dynamic stress boundaries. The method includes: constructing a digital twin model of the well logging tool; establishing a virtual-physical interactive connection; performing virtual accelerated testing using the digital twin model to acquire virtual test data; performing high-acceleration life testing on a physical prototype based on dynamic stress boundaries generated from historical operating data; simultaneously acquiring physical test data; comparing and verifying the physical test data with the virtual test data; adjusting the simulation process based on the comparison and verification results; regenerating virtual test data; fusing the virtual test data and physical test data; using graph neural networks for correlation analysis; identifying coupled failure modes; and constructing a predictive health management model. This forms a complete closed loop from virtual design verification to physical test calibration and then to on-site data feedback optimization, enabling reliability to continuously increase throughout the product's entire lifecycle.

This application discloses a method, apparatus, and electronic device for evaluating vehicle performance. The method includes: determining multiple test dimensions for inputting multiple test parameters to the vehicle, wherein different test dimensions correspond to different functional modules to be tested in the vehicle; determining simulation models of the vehicle that match the multiple test dimensions, wherein the simulation models are used to simulate simulation scenarios of the vehicle; inputting the test parameters under the test dimensions into the simulation models matching the test dimensions, simulating the simulation scenarios indicated by the test parameters, and obtaining response state data of the functional modules under the simulation scenarios; evaluating the vehicle based on the multiple response state data corresponding to the multiple simulation models, and obtaining vehicle performance indicators, wherein the performance indicators are used to represent the performance of different functional modules under the combined effect of multiple simulation scenarios. This application solves the technical problem of low efficiency in vehicle performance evaluation.

The invention discloses a test scene intelligent simulation method, system and device for a real-time control system and a medium, and the method comprises the steps: receiving a test demand, carrying out the analysis of the test demand based on a large language model and a test domain knowledge graph, and generating a structured test demand; calling a corresponding generative artificial intelligence model, and generating a cross-modal test data set associated in time sequence and semantics; based on a structured test requirement, a cross-modal test data set and a test domain knowledge graph rule, automatically generating a test script and arranging a time sequence test scene process so as to drive the real-time control system and collect response of the real-time control system; and analyzing a test execution result, optimizing decision logic of data generation or protocol simulation through reinforcement learning based on the analysis result, and updating the decision logic to the test domain knowledge graph. Compared with the prior art, full-link automation of real-time control system testing from scene construction and execution to autonomous evolution is achieved.

The invention provides a database stability testing method and device, equipment, a storage medium and a program product, and relates to the technical field of computers. The method comprises the following steps: acquiring a full-quantity SQL case set, wherein the full-quantity SQL case set comprises SQL statements related to business in a production environment; filtering the full SQL case set, and removing invalid cases to generate a to-be-tested case set; the invalid case comprises at least one of a user-defined excluded SQL (Structured Query Language) statement, a grammar error SQL statement and a file deletion operation SQL statement, and the file deletion operation refers to a command related to user-defined file or system file deletion operation in the SQL statement; executing the to-be-tested case set to obtain an execution result; the execution result is used for verifying the stability of the database; and outputting a stability report according to the execution result. The method is used for achieving the effect of improving the test efficiency.

The invention discloses an equipment multi-version circulating upgrading method and device, equipment and a storage medium, and relates to the technical field of software upgrading queries, the method comprises the following steps: obtaining a target equipment set, a plurality of software upgrading versions and an upgrading sequence of the plurality of software upgrading versions according to pressure test task configuration, generating a corresponding circulating upgrading sequence according to the plurality of software upgrading versions and the upgrading sequence; for each target device in the target device set, sequentially sending an upgrading instruction corresponding to the current software upgrading version to the target device according to a circular upgrading sequence; and receiving state information returned by the target equipment after finishing the upgrading instruction, and executing the upgrading of the next software upgrading version according to the state information, or stopping the current round of upgrading. Through the mode, the stability and the reliability of the upgrade link in the limit scene are simulated by switching the software upgrade version back and forth at a high frequency, the test coverage is improved, upgrade instructions do not need to be manually issued one by one, and the test efficiency is improved.

The invention provides a game prize pool expectation regression testing method and device, electronic equipment and a storage medium, and relates to the technical field of regression testing. The method comprises the following steps: receiving a Taiyte-level production data flow of a game prize pool, and labeling according to a business risk level, an access frequency and a historical defect rate in a partitioned manner; based on a preset four-dimensional weight formula, calculating a sampling weight of each partition data stream, and performing differential sampling by using a dynamic sampling probe; the KL divergence of the current weight distribution and the target weight distribution is calculated by taking a preset time window as a unit, and if the KL divergence exceeds an alarm threshold value, a weight drift root cause is positioned through LIME sensitive path analysis and call chain tracking; calculating a weight deviation compensation value through a PID (Proportion Integration Differentiation) controller, and adjusting the sampling weight in real time; long-tail scene coverage is enhanced based on a GAN model and a traffic playback amplification technology; and carrying out KS test and quantile anchoring on the test data to verify the weight distribution consistency. A long-tail scene is fully covered, and a verification-drift-correction closed loop is realized.

The invention relates to the technical field of automatic testing of financial and medical scenes, and discloses an automatic interface testing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining all interface requests and response data triggered when a front-end interface is operated through a proxy gateway; then aggregating the discrete requests into a sequential sequence based on a user session ID, and identifying a dynamic parameter dependency relationship multiplexed by a subsequent interface; therefore, a user behavior path graph can be constructed, nodes in the graph represent interfaces, and directed edges represent calling sequences and data circulation; extracting a core path from the atlas and automatically converting the core path into an executable test script, wherein the script integrates dynamic parameter transfer logic; after the test is executed, if failure is caused by interface change, root cause diagnosis is carried out in combination with change information, and the script is automatically repaired by using effective data in the new recorded traffic, so that the self-healing of the test case is realized. According to the invention, the generation and maintenance cost of the test case is obviously reduced.

The application relates to the technical field of computers and discloses a general transmission control system bus signal simulation method.The method comprises the following steps: acquiring device node topology, protocol types and historical load data; constructing a bus network abstract model; extracting a message flow timing template; generating a concurrent message scheduling sequence conforming to arbitration logic; fusing a high-fidelity signal base; superimposing physical layer interference signals based on measured data; and injecting a measured system through a hardware-in-the-loop interface.The system comprises bus topology analysis, network modeling, timing template extraction, scheduling generation, signal fusion, interference injection and hardware output modules.The method significantly improves test authenticity, coverage and platform universality through joint modeling of logic and physical layers.

The invention discloses an electric drive system NVH dynamic test system and method based on XIL. The system comprises a driver-in-the-loop module, a real object-in-the-loop module and an NVH data acquisition system. The driver in-the-loop module is used for collecting a driver real-time operation signal and providing a virtual driving environment; the real object in-the-loop module receives a signal through a real-time simulation machine, and a co-simulation model is used for resolving vehicle dynamic operation parameters; and the rack system drives the dynamometer to apply a dynamic load to the tested electric driving system by adopting a composite control framework based on rotating speed closed-loop control and combined with dynamic compensation according to the parameters. By constructing a human-vehicle-road closed-loop coupling mechanism, the problem that transient load change in a complex driving scene cannot be reproduced in a traditional rack test is solved, working conditions such as urgent acceleration and braking can be simulated in a high-fidelity manner, vibration and noise response of an electric driving system in real dynamic operation can be accurately captured, and the reliability of the electric driving system is improved. And the authenticity and the effectiveness of the NVH test are obviously improved.

The invention belongs to the technical field of software development, and discloses an intelligent auxiliary method and system for software development, and the method comprises the following steps: obtaining a software development demand text, and generating a structured demand model based on a natural language processing model and a software development domain knowledge graph; generating a plurality of sets of candidate technical schemes based on the structured demand model in combination with a technical stack adaptation rule, and performing scoring; on the basis of a pre-training coding model, in combination with context information of a current development scene, real-time generation of codes is achieved; based on the structured demand model and the generated code, automatically generating a test case and generating a test report; data of all links in the whole development process is collected, and continuous parameter optimization is conducted through a reinforcement learning algorithm. By the adoption of the method and system, intelligent assistance of whole-process software development from demand analysis to iterative optimization is achieved, the development efficiency and code quality are improved, the development threshold is lowered, and the technical problems that an existing auxiliary tool is fragmented and poor in adaptability are solved.

The invention relates to the technical field of wireless sensing testing, and discloses a wireless sensing testing method, system and platform, and the method comprises the steps: setting a testing task for wireless sensing equipment, and the testing task comprises a wireless sensing parameter, the sensing size of a wireless sensing target, and a moving task; controlling the wireless sensing target to move according to the moving task, and obtaining an actual moving coordinate; acquiring a wireless sensing result of the wireless sensing device on the wireless sensing target based on the wireless sensing parameters; and determining a test result according to a comparison result of the wireless sensing result and the actual moving coordinate. According to the wireless sensing test method, test tasks including wireless sensing targets of different sensing sizes and different wireless sensing parameters can be set, the repeatability and controllability of the test are improved, the test coverage and research and development efficiency of the wireless sensing equipment are improved, the influence of human factors can be avoided, and the test efficiency of the wireless sensing equipment is improved. Therefore, the accuracy and efficiency of test results are improved.

The invention provides a wind power conversion controller hardware-in-the-loop joint simulation test platform. The wind power conversion controller hardware-in-the-loop joint simulation test platform comprises an RT-LAB real-time simulation subsystem, a wind power conversion controller and a PLC industrial simulation subsystem. The RT-LAB real-time simulation system simulates and realizes electromagnetic transient simulation of a converter main circuit, a motor and a power grid, and the PLC industrial simulation system simulates and realizes peripheral industrial communication and peripheral logic simulation of a converter controller, so that a controller closed-loop test environment under a dual-simulation system collaborative architecture is formed. The method has the beneficial effects that the wind power conversion controller works in a fan system environment close to the reality, and a complete signal system of the converter in actual operation is restored to the maximum extent by improving the simulation coverage rate of a hardware interface and the precision of a test model; united closed-loop verification of the wind power conversion controller under a high-precision electrical environment and a real industrial communication protocol is realized, and the consistency of hardware-in-loop simulation operation of a controller product and actual prototype operation is ensured.

This application belongs to the field of oil well logging tool technology, specifically a well logging tool reliability analysis method based on digital twins and dynamic stress boundaries. The method includes: constructing a digital twin model of the well logging tool; establishing a virtual-physical interactive connection; performing virtual accelerated testing using the digital twin model to acquire virtual test data; performing high-acceleration life testing on a physical prototype based on dynamic stress boundaries generated from historical operating data; simultaneously acquiring physical test data; comparing and verifying the physical test data with the virtual test data; adjusting the simulation process based on the comparison and verification results; regenerating virtual test data; fusing the virtual test data and physical test data; using graph neural networks for correlation analysis; identifying coupled failure modes; and constructing a predictive health management model. This forms a complete closed loop from virtual design verification to physical test calibration and then to on-site data feedback optimization, enabling reliability to continuously increase throughout the product's entire lifecycle.

This invention discloses a BSDL-free model I / O open / short circuit testing system and method. The BSDL-free model I / O open / short circuit testing system, used for boundary scanning, includes: a boundary scanning test card, a constant current source circuit, an ADC acquisition circuit, a switching circuit, an FPGA, and a test host computer. The constant current source circuit, ADC acquisition circuit, and switching circuit are integrated within the boundary scanning device. The output terminal of the constant current source circuit is connected to the BSDL-free model I / O pin of the chip under test (DUT) to output a constant current. The input terminal of the ADC acquisition circuit is connected to the DUT pin to acquire the pin voltage. The switching circuit connects the constant current source circuit and the ADC acquisition circuit to switch the protection diode test type. The ADC acquisition circuit is connected to the FPGA via an I2C interface, and the FPGA communicates with the test host computer. This invention enables open / short circuit testing of BSDL-free model I / O pins within a boundary scanning device, improving test coverage, reducing test costs, and increasing test efficiency.

This invention relates to the field of battery management system (BMS) testing, and more particularly to a BMS testing method and system. The method includes: acquiring test parameters and battery model parameters; initializing a preset battery model algorithm based on the test parameters to provide different battery operating conditions; calculating real-time battery simulation data using the initialized battery model algorithm based on the battery model parameters; acquiring control commands from a hardware-in-the-loop (HIL) device; controlling the HIL to output corresponding physical signals to the BMS device under test (BMS) based on the real-time battery simulation data and the control commands, to test the BMS device under test; and collecting response data from the BMS device under test to complete the test. This method solves the problem of test conditions that cannot be triggered in physical testing; and it also enables the construction of corresponding test platforms for different batteries, effectively improving testing efficiency.

The invention provides a rail transit vehicle automatic servicing control device and method, and the device comprises a central control unit which is used for receiving a servicing starting command from a human-computer interaction interface through a rail transit vehicle communication control network, and analyzing the servicing starting command into an automatic one-key servicing instruction or a manual single servicing instruction; the central control unit is also used for sending corresponding test commands to a traction system, an auxiliary system, a control system or a storage battery system of the rail transit vehicle through the rail transit vehicle communication control network; the central control unit is also used for sending the whole vehicle servicing result, the test result of each servicing item point and the link and maintenance guidance information when the test fails to the HMI for display through the rail transit vehicle communication control network; the electrical principle and the control strategy of the rail transit vehicle are used as supports, the servicing process is optimized by introducing an intelligent means, the servicing content especially for key devices and functions of a key system is perfected, and the servicing efficiency and the servicing quality are improved.

The application provides a kind of corner module architecture automobile chassis comprehensive evaluation method, system and equipment, based on the test requirement of the vehicle to be evaluated, the test parameter set of the vehicle to be evaluated is constructed;Based on the test requirement and the test parameter set, the test path of the vehicle to be evaluated is generated;Based on the test path of the vehicle to be evaluated, the test scene of the vehicle to be evaluated is constructed;Based on the vehicle dynamic data, the multidimensional evaluation index of the vehicle to be evaluated is calculated;Based on the multidimensional evaluation index, the comprehensive evaluation result of the vehicle to be evaluated is determined;Through the construction of test requirement and test parameter mapping mechanism, the adaptive generation of test path is realized, and combined with the multi-scene test system of maneuverability, stability and passability, multidimensional dynamic evaluation index is introduced, a unified comprehensive evaluation system is established, which improves the test coverage capability while enhancing the accuracy and reproducibility of the evaluation result, so as to realize the systematic quantitative evaluation of the comprehensive performance of the corner module architecture chassis under complex working conditions.

The application discloses a software verification method and system based on reverse engineering, and relates to the technical field of software engineering.The system comprises a reverse analysis module, a requirement analysis module, a consistency verification module, a self-adaptive test generation module and a result comparison module.The application realizes efficient, comprehensive and accurate automatic verification and problem positioning of whether binary software implementation meets natural language requirements by automatically performing reverse analysis and requirement analysis, constructing a three-dimensional alignment engine for multidimensional quantitative verification, dynamically generating self-adaptive tests based on verification deviation, and performing intelligent comparison and backtracking analysis, and solves the problems of low reverse efficiency, large requirement alignment error, inaccurate test coverage, single verification dimension and difficult root cause positioning in the prior art.