8results about How to "Improve test coverage" patented technology

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 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.

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.

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.

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.

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.