377 results about "Test quality" patented technology

The invention proposes a semiconductor device test optimization method, and the method comprises the steps: initializing a test environment, obtaining the test data of a semiconductor, and automatically configuring the test environment; constructing a signal adjustment model to dynamically generate a preliminary test signal; designing a sensor network to monitor a preliminary test signal and response of the semiconductor device in real time, dynamically adjusting sensor data, and designing a data optimization acquisition strategy; dividing the parameters into a high priority and a low priority, dynamically compressing the parameters, implementing fast Fourier transform, extracting spectrum components as features, and analyzing the features; decompressing and preprocessing the compressed data, and performing deep fault analysis and positioning; and optimizing test data of the conductor, carrying out secondary test, and verifying a parameter adjustment result. According to the invention, the test quality and efficiency of the semiconductor device can be obviously improved, the product failure rate caused by insufficient test can be reduced, and the method plays an important role in semiconductor manufacturing industry, especially high-end chip production.

The invention relates to the technical field of computer networks, and discloses a method for locating reasons for network dial test quality index abnormity, which comprises the following steps of: multi-source data acquisition and network topology modeling: generating state information of network equipment and links by acquiring performance data of each equipment and flow data of the links in a network, and establishing a network topology model; establishing a network topological graph model; shortest path calculation and abnormal path identification based on the graph theory: calculating a shortest path from source equipment to target equipment by using a shortest path algorithm in the graph theory, and identifying abnormal links and equipment in the path; and load evaluation and bottleneck analysis based on an information theory. Through combination of multi-source data acquisition, graph theory optimization, information theory evaluation, game theory resource allocation, deep reinforcement learning and multi-target optimization, network paths and loads are dynamically adjusted, abnormal sources are accurately positioned, and network performance, stability and adaptive capacity are improved.

The invention belongs to the technical field of float flowmeter detection, and particularly relates to a float flowmeter detection device for a visual imaging small oxygenerator, which comprises a detection bin, a test board is fixed on the left side of the interior of the detection bin, a float flowmeter is arranged above the test board, a pressing cylinder is fixed on one side of the test board, and the pressing cylinder is fixed on the other side of the test board. The output end of the pressing air cylinder makes contact with the upper end of the float flowmeter and presses the float flowmeter. An air pressure valve is fixed to the left side of the upper portion of the detection bin, the lower portion of the float flowmeter is connected with an air inlet pipe, the air inlet pipe is connected with an external air source pipeline, the external air source pipeline is connected with the air pressure valve, the upper portion of the float flowmeter is connected with an exhaust pipe, and the air pressure valve is manually adjusted. In the prior art, the position of the floater is manually identified by naked eyes, the precision is poor, and the pressure on the upper side and the lower side of the floater cannot be kept constant, so that the test quality is greatly reduced.

The invention discloses an aviation airborne software test case intelligent generation and closed-loop optimization method, which comprises the following steps of: knowledge graph construction: analyzing a DO-178C standard document and a related field document, extracting entities and relationships defined in the DO-178C standard document and the related field document, and constructing a field knowledge graph fused with DO-178C standard knowledge; initial test case generation: based on the domain knowledge graph, combining a static analysis result of the source code of the tested airborne software, and utilizing a large language model to drive and generate an initial test case set; and closed-loop iterative optimization: executing the test case, evaluating whether the structural coverage rate reaches the standard or not, automatically identifying uncovered codes when the structural coverage rate does not reach the standard, generating a supplementary test case for iterative optimization, and outputting a final test case set until a coverage rate target corresponding to the software security level is met. According to the method, the test quality and efficiency of the aviation airborne software can be improved.

The invention provides a test method and device, and the method comprises the steps: obtaining a code submission record; determining a code change file based on the code submission record; performing calling relation analysis on the code change file to determine a target interface influenced by code change; wherein the target interface is an externally exposed interface influenced by code change; searching a target test case associated with the target interface from existing test cases; and testing based on the target test case to obtain a test result. According to the method, the interface influenced by the code change is identified based on the code submission record, and the proper test case is searched from the existing test cases based on the influenced interface, so that the comprehensive coverage of the influenced area can be ensured, the test accuracy is improved, and the completeness of the test scene and the test quality can be ensured under the condition that the software complexity is increased.

The invention provides a digital whole-satellite-level spaceborne computer software testing system which comprises a virtual testing platform and a ground testing subsystem, the virtual testing platform is used for simulating the running state of a real satellite and space environment dynamic data, and the ground testing subsystem and the virtual testing platform conduct information interaction. And the test module is used for sending a test instruction to the virtual test platform, receiving a telemetry data packet which is fed back by the virtual test platform and contains a simulation result, executing an automatic test based on the telemetry data packet and carrying out test recording and test interpretation. Therefore, a virtuality and reality combined testing environment is established, limitation of a hardware single machine is avoided, software testing efficiency is improved, testing time is shortened, testing quality is improved, human input is reduced, testing risks are avoided, and the problem that software testing is limited by equipment, sites, environments, time and the like in the prior art is solved.

The invention provides a hydraulic cylinder deep sea simulation test device and method.The hydraulic cylinder deep sea simulation test device comprises a cylinder barrel, cylinder covers are fixedly arranged at the two ends of the cylinder barrel, a supporting adjusting platform and a sliding supporting platform which are horizontally arranged are arranged in the cylinder barrel, a test hydraulic cylinder is fixed to the supporting adjusting platform, and a flat pressing barrel sliding in a sealed mode is arranged on the cylinder barrel at one end; the end of the flat pressing cylinder is connected with the end of a piston rod of the test hydraulic cylinder through a connecting assembly, and the bottom of the connecting assembly abuts against the sliding supporting platform to slide. The deep sea simulation test device not only can simulate a deep sea high-pressure environment more truly, but also can significantly reduce test errors, improve leakage detection capability, enhance reliability and durability of a system, improve safety, and provide comprehensive data recording and analysis support. Therefore, the test quality of the hydraulic cylinder product is greatly improved, and the performance and reliability of the hydraulic cylinder product in practical application are ensured.

The embodiment of the invention discloses a vehicle machine function test system, which comprises a signal simulation circuit board and an output monitoring device, and is characterized in that the signal simulation circuit board is used for outputting a simulation input signal, and the simulation input signal simulates an input signal generated when to-be-tested vehicle hardware is triggered; the analog input signal is used for testing a to-be-tested vehicle machine system; the output monitoring device is used for receiving a control signal generated when the to-be-tested vehicle machine system processes the analog input signal. According to the scheme of the embodiment of the invention, the duration of the test process can be shortened, the test efficiency is improved, the test consistency is ensured, the test quality is improved, and the analysis difficulty and the test cost are reduced.

The utility model discloses a device for testing the resolution of a camera module, and belongs to the technical field of camera modules. The device for testing the resolution of the camera module comprises a machine table, a host, a moving mechanism, a test graphic card and three-dimensional shooting equipment, the moving mechanism is arranged on the moving mechanism, and the test graphic card is connected to the moving mechanism; the three-dimensional shooting equipment is arranged on the machine table, and a lens of the three-dimensional shooting equipment faces the test graphic card so as to shoot image information of a plurality of markers on the test graphic card; the host is connected with the three-dimensional shooting device and the moving mechanism so as to obtain three-dimensional coordinates of the multiple markers based on the image information of the multiple markers, the three-dimensional coordinates are compared with preset coordinates to obtain the adjustment amount of the test graphic card, and then the moving mechanism is controlled to move the test graphic card based on the adjustment amount. The device for testing the resolution of the camera module provided by the utility model can improve the precision of the installation position of the test graphic card and improve the quality of the resolution test.

The invention relates to the technical field of software testing, and discloses an AI-based unstructured test case conversion method and device.The method comprises the steps that a to-be-converted test case is preprocessed, and a text vector is generated according to the preprocessing result; determining a target category based on a preset classification template and the text vector; wherein the preset classification template comprises at least two target categories; and based on the target category and a preset output document, converting the to-be-converted test case to obtain a structured test case. According to the method and the device, the to-be-converted test case is preprocessed, then classification is performed according to the preset classification template, and the target category of the test case is determined, so that the test case is converted according to the target category and the preset output document to obtain the structured test case, a large amount of manpower required by manual conversion is saved, and the conversion efficiency is improved. The accuracy and the efficiency of conversion are improved, so that the test efficiency and the test quality are improved.

The invention belongs to the technical field of function testing, and discloses a dynamic credibility verification function testing method and related device for a credible DCS controller, and the method comprises the steps: carrying out the dynamic credibility verification periodical measurement strategy marking of a predetermined process file; tampering the execution process, and querying the trusted state of the execution process; performing dynamic credibility verification periodical measurement strategy marking on a pre-determined process in the execution process; tampering the process marked with the verification strategy, and querying the credible state of the process marked with the verification strategy; performing dynamic credible verification subject-object strategy marking on the predetermined application program and object file; tampering the preset strategy point execution process, and querying a credible state of the preset strategy point execution process; outputting a credible state query result to obtain a dynamic credible verification function test result of the to-be-tested controller; according to the method, the problem of the dynamic credible verification function can be found earlier, and the test speed and test quality are effectively improved.

The invention belongs to the technical field of automobile testing, and discloses an automobile brake jitter evaluation method and system, and the method comprises the steps: setting a plurality of working conditions, and simulating the cold state, temperature rise, high temperature, cooling and low temperature experiment processes of a whole automobile road test; and under multiple working conditions, brake shake evaluation of a low disc temperature section, a middle disc temperature section and a high disc temperature section is carried out on the vehicle, and the multiple working conditions have different vehicle speed changes, brake strengths and gears. According to the invention, automobile brake jitter evaluation is carried out by adopting different automobile speed changes, different brake intensities and different gears, so that the product development process is closer to the use condition requirements of customers, and the use conditions of the customers can be fully simulated. The method has multiple application verification dimensions, verification working conditions meet the use requirements of customers, and the test quality is greatly improved.

The invention discloses a pressure air tightness test fixture for a rectification bearing casing and a use method, the test fixture comprises a bottom plate and a cover plate connected to the upper space of the bottom plate through a B-level equal-length double-end stud, the bottom plate and the cover plate are respectively provided with a first sealing ring and a second sealing ring in a matched manner, and the cover plate is provided with a plurality of screw holes; a first pressing plate and a second pressing plate are fixed between the bottom plate and the cover plate through an arch-shaped frame and a C-shaped hexagonal head compression screw, a first sealing gasket and a second sealing gasket are arranged on the first pressing plate and the second pressing plate in an attached mode respectively, and an adapter nozzle is connected to the first pressing plate. The fixture realizes the pressure airtightness test of the whole part welding seam, solves the prominent problem of low efficiency of single support plate welding seam one-by-one test, and improves the pressure airtightness test quality and the part processing efficiency.

The invention is suitable for the technical field of driver software testing, and provides a driver software automatic testing method and platform based on an AI agent. According to the method, full-automatic operation of test management, equipment management and a test process of the driver software is realized, a complex environment of a bottom driver software test is flexibly coped with through an artificial intelligence technology, manpower required by the test is reduced, and the test quality and the test efficiency are improved. Meanwhile, by defining the test stage, the uncertainty degree of the artificial intelligence technology in the aspect of content generation is reduced, and the test stability is improved.

The invention relates to the technical field of testing, can be applied to the fields of financial science and technology and medical health, and discloses a software testing method, device, equipment and medium based on heterogeneous multi-agent, the method comprises the following steps: receiving a to-be-tested task, and analyzing the to-be-tested task to generate a task vector; for each heterogeneous agent in an agent pool, constructing a capability vector of the heterogeneous agent, and determining a capability matrix according to the capability vector and the task vector; generating a test workflow of the directed acyclic graph according to the task vector and the capability matrix; aiming at each task node in the test workflow, performing graph enhancement retrieval from a domain knowledge base to obtain a retrieval result, and injecting the retrieval result into a control instruction of the task node as enhancement knowledge; and calling a preset test tool to execute a test case generated by the test workflow. And the test quality and the test efficiency of the complex software system are improved.

The invention relates to the technical field of automatic program testing, and discloses a test case generation method based on a generative large model, a terminal and a readable storage medium, the method comprises the following steps: obtaining user input setting, and generating a cue word according to the user input setting; according to the cue word, generating a test case by adopting a generative large model; and executing a test on the test case to obtain an evaluation result, and outputting the test case and the evaluation result. According to the method and the device, the user input setting is analyzed, the cue word meeting the condition is automatically generated, and then the test case is generated based on the generated cue word, so that the problems that different educators use different cue words, the test quality is possibly inconsistent, and the level quality of the test case cannot meet the requirement are solved.

The invention relates to the technical field of software testing, in particular to an automatic testing method and system, electronic equipment and a readable storage medium, and the method comprises the following steps: obtaining related data of a test case, preprocessing the related data of the test case, inputting the preprocessed data into a target large model, generating a test case by using the target large model; determining code change information, obtaining a mapping relationship between the code and the test case, and generating a test case recommendation list according to the code change information and the mapping relationship; and sequentially executing the test cases in the recommendation list by adopting an automatic test framework to obtain a test result. According to the method, automatic generation of the test cases, automatic execution of the test cases and accurate recommendation of the test range can be realized, and the test efficiency and the test quality are improved.

The invention discloses an equipment interconnection test method and system, electronic equipment and a storage medium, and relates to the technical field of data processing. Through automatic identification and comparison of target debugging parameters, target performance indexes and target specification data, couplet test processing is performed by applying the target debugging parameters in an actual test task execution process; throughput data information for data transmission with the to-be-tested device is obtained, the target response rate for information interaction processing of the network port of the to-be-tested device is determined, then data analysis is carried out through the target performance index and the target response rate, and a final test report, namely the target test report, is output. The technical problem of how to reduce human intervention in the equipment testing process and improve the testing quality and accuracy can be solved, and the technical effects of reducing human intervention in the equipment testing process and improving the testing quality and accuracy are achieved.

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 utility model discloses a fixing device for testing a semiconductor chip module, and belongs to the technical field of chip testing. A fixing device for testing a semiconductor chip module comprises a device body. According to the fixing device for the semiconductor chip module test, a rotating rod rotates to drive a rotating ring to rotate, so that an internal thread is screwed into an external thread, a moving block drives moving seats and a sliding block to move in a sliding groove to extend a spring, and the four moving seats respectively move to drive a rotating plate, a mounting plate, a fixing rod, an insertion box and an elastic piece to move towards the center of a chip body; when the rotating plate makes contact with the boundary of the chip body, the rotating plate is extruded by the surface of the chip body to rotate on the surface of the spring shaft, the chip body is centered under the action of the rotating plate, the angle of the chip body is adjusted, the chip bodies with different thicknesses can be fixed and limited through the two elastic pieces, and the functions of the device body are increased; therefore, the test quality of the semiconductor chip by the test equipment is improved, and the test efficiency of the semiconductor chip by the test equipment is further improved.

The utility model discloses a spring elasticity testing device for spring production, which comprises a base, a sliding chute is arranged at the top of the base in a penetrating manner, a placing table is fixedly mounted at the top of the base, a driving assembly is arranged at the bottom of the base, and a first screw rod is arranged at the bottom of the base through the driving assembly; the surface of the first screw rod is rotatably connected with a mounting plate, the mounting plate is fixedly connected with the base, the surface of the first screw rod is in threaded connection with a moving rod, the moving rod is slidably connected with the sliding groove, a limiting rod is fixedly mounted on the side, close to the placing table, of the moving rod, and a lifting assembly is arranged at the top of the base. A pressure sensor is arranged at the top of the base through a lifting assembly, a pressing block is fixedly installed at the bottom of the pressure sensor, and a display screen is fixedly installed at the top of the base. The springs of different sizes can be conveniently limited, the phenomenon that the springs are prone to off tracking when pressed is avoided, and the testing quality of the springs is guaranteed.

The invention relates to a vehicle automatic test method and system based on a body robot, and the method comprises the steps: obtaining a test task of the body robot, and the test task is a task for simulating the operation behavior of a user on a vehicle; decomposing the test task into an executable subtask sequence according to the test type and the environmental condition; and controlling the robot to execute the current subtask according to the priority of the subtask sequence, monitoring behavior actions of the vehicle when the robot executes the current subtask, and recording a task execution result of the robot. Therefore, the problems that a traditional automobile function testing method depends on manpower, is low in testing efficiency and hard to cover a dynamic scene, network testing is split in testing, and the man-machine cooperation efficiency is low are solved, the dependence of the testing on the manpower is reduced, the testing efficiency and the testing quality are improved, meanwhile, network-function integrated testing is guaranteed, and the testing efficiency is improved. Automatic testing of the automobile in a complex environment is realized by using the robot with the body based on vision, sound perception and information interaction cooperation.

The invention belongs to the technical field of oil seal leakproofness test, and particularly relates to a high-low pressure gas spring oil seal leakproofness test box for an automobile suspension system, the high-low pressure gas spring oil seal leakproofness test box comprises a seal test device and a pressure balance system, the seal test device comprises a box body, a partition plate, an upper cover plate, a lower sleeve and a reinforcing mechanism; a box plate is in shaft connection with the upper portion of the box body, a display screen and a plurality of buttons are fixed to one side of the box body, the partition plate is fixedly installed on the inner wall of the box body, the lower sleeve is fixedly installed in the middle of the partition plate, the inner wall of the partition plate is slidably connected with an air pressure plate, an air pressure rod is fixed to the lower portion of the air pressure plate, and a hole is formed in the middle of the partition plate. According to the device, the problems that the test quality is influenced by a gap generated between an oil seal and a simulated gas spring due to the inaccurate simulation environment of the gas spring oil seal during the current oil seal tightness test, and the accuracy of a test result is greatly influenced by looseness caused by the fact that the simulated gas spring cannot be reinforced in the process are solved.

The invention discloses an intelligent test data generation and optimization method and system based on a low-code platform, and belongs to the technical field of software engineering and artificial intelligence, and the method comprises the steps: analyzing a business rule and data model definition information of a low-code application; according to the business rule and the data model definition information, utilizing a generative model to generate initial test data; performing quality evaluation and fault prediction on the generated initial test data; collecting test execution feedback information, including fault types caused by data, performance bottleneck positions and the like; formulating a data generation parameter adjustment strategy according to the test execution feedback information and the service target; and regenerating test data according to the adjustment strategy, and outputting the optimized test data for a subsequent iterative test. And the optimized test data is subjected to effect evaluation, so that the test quality and efficiency are continuously improved. According to the invention, the test data dynamically adapts to business demand changes, the test coverage rate and the fault discovery efficiency are improved, and the labor cost is reduced.

The invention relates to the technical field of automobile coating testing, in particular to an automobile coating adhesion performance testing machine and a testing method.The automobile coating adhesion performance testing machine comprises a base, a limiting block used for limiting a sample plate is fixedly installed on the upper end face of the base, an n-shaped frame located above the limiting block is fixedly installed on the upper end face of the base, and a downward pressing mechanism is arranged on the n-shaped frame. A limiting, cutting and adhering integrated operation model is adopted to complete cross-grid testing of different intervals of the automobile coating sample plate, an efficient, accurate and standardized testing process is achieved, uniform pressure control ensures that the cutting depth and force of grids with different intervals on the surface of the sample plate are consistent, and a base material is prevented from being damaged; the testing efficiency is greatly improved through cross-shaped limiting and synchronous cutting, it is ensured that the angle of each grid is accurate to be 90 degrees, meanwhile, coatings with different hardness and thicknesses can be easily coped with only by adjusting the pressure, the operation consistency is remarkably enhanced in the automatic adhesive tape adhering and tearing process, and the testing quality and efficiency are comprehensively improved.

The invention discloses a dual-power-supply low-voltage apparatus test system based on WTD-VMD-ZCD phase selection control closing and a use method of the dual-power-supply low-voltage apparatus test system. The system comprises a test voltage source loop, a capacitor charging and discharging loop, a test current source loop and a main control module, a voltage signal generated by a test voltage source is denoised and reconstructed by using a WTD algorithm, then VMD parameters are optimized by using a BKA algorithm, VMD decomposition is carried out on the voltage signal after WTD denoising, correlation calculation is carried out on obtained IMF components, and the correlation of the IMF components is calculated. The IMF component with the correlation higher than a set threshold value is selected as a denoised test voltage source signal, then zero-cross detection is carried out by using a ZCD algorithm, logic control of time sequence connection of a test voltage source and a test current source is carried out through phase selection opening and closing, and then the test of the low-voltage electric appliance is realized. The requirements of the low-voltage electrical apparatus on test power supply electric parameters and test quality are met, accurate control of the test is realized, the cost is low, and the system is simple and easy to construct and operate.

The invention relates to the technical field of protective clothing testing, and discloses a protective clothing combustion testing device based on an intelligent sensor, which comprises a control console, a testing cabinet is arranged on the control console, a simulation mechanism for simulating real motion is arranged on the inner wall of the testing cabinet, and an exhaust mechanism for ventilation is arranged on the inner wall of the testing cabinet. According to the device, in the rotating process of the fire protection clothing, it can be ensured that heat flow of subsequent flame testing is uniform, testing and detection are free of dead corners, the real wearing state is simulated, the flame testing quality of the device on the fire protection clothing is improved, the testing combustion precision of the device on the fire protection clothing is improved, and the testing efficiency is improved. And meanwhile, a temperature sensor on the surface of the human body model can test the internal temperature of the fire protection clothing, all-directional combustion test detection of the device on the fire protection clothing can be improved through rotary movement of a flame gun, and the combustion test effect of the device is improved.

The embodiment of the invention provides a test method and device, equipment, a storage medium and a program product, and the method comprises the steps that after a test case set is used for testing first software, test information of the test case set is obtained, and the test information comprises test indexes of each test class and used priority values; the priority value is positively correlated with the test quality of the test class; updating the priority value of the test class according to the test information; in response to a test instruction aiming at the second software, determining the test class used by the test and a corresponding execution sequence according to the updated priority value of the test class; and testing the second software based on the test class used in the test and the corresponding execution sequence. By obtaining the priority values of the test classes, the test classes used in the test and the execution sequence are determined, the test classes with high test efficiency can be preferentially executed in the automatic test, and faults can be found in time.

The invention discloses a whole-process intelligent unit testing method driven by a large language model, belongs to the technical field of software testing, and aims to solve the problems of poor testing quality, difficulty in effective understanding of testing intentions and low coverage rate of testing codes in existing unit testing. The method comprises the following steps: intelligently analyzing a to-be-tested code driven by a large language model; automatically generating a test code driven by the large language model; testing code intelligent verification driven by the large language model; error codes driven by the large language model are automatically repaired; and automatic construction of a test suite and intelligent evaluation driven by a large language model. According to the method, the advantages of the large language model in the aspects of natural language understanding and code generation are fully played, so that the large language model can more accurately grasp the test intention and the function requirement, the generation quality and the coverage range of the test code are remarkably improved, and a brand new solution is provided for realizing efficient, intelligent and whole-process automatic unit test generation.

The invention relates to the technical field of aero-engine whole machine air environment simulation, and discloses an aero-engine ground platform full-process digital test system and method, and the method comprises the steps: obtaining a test task book of an aero-engine, extracting key information in the test task book, and converting the key information into structured data; a detailed test outline is automatically generated by using a preset template and an information matching algorithm, and a reasonable test time and resource allocation scheme is generated for each test item by using a dynamic programming algorithm with the goal of minimizing the maximum completion time of all tasks, so that the test efficiency and the resource utilization rate are effectively improved. On the basis of improving the automation level and the digital management capability of the whole process of the test run platform, high automation is realized, manual intervention and operation errors are reduced, the development progress can be accelerated, the test quality and efficiency can be improved, the labor intensity and the test risk can be effectively reduced, and the test efficiency is improved. Therefore, the safety and controllability of the whole test process are optimized.