197 results about "Test quality" patented technology

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 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 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 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 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 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 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.

The invention provides a testing method, device, equipment and product, and relates to the technical field of testing. The method comprises the following steps: acquiring a test case set written according to an interface demand of a target application and an interface which establishes a mapping relationship with the interface demand; in the process of executing each test case in the test case set through the target application, recording a first code line of a code of the target application covered by each test case through the constructed staining matrix; obtaining a first coverage rate of the code according to the first code line and the code of the target application; and under the condition that the first coverage rate exceeds a first preset threshold value, sending a deployment instruction of the target application to a deployment platform. The test case is written according to the interface requirement and the interface establishing the mapping relation with the interface requirement, the rigid requirement problem of the test can be met, a linkage effect is formed with the whole process of product research and development, codes covered by the test case are recorded through the dyeing matrix, the interface which is not covered can be processed, and the test quality is effectively improved.

The invention provides a network-on-chip test file generation method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining test scene information of a network-on-chip; the test scene information comprises a plurality of test scenes, and each test scene comprises a group of test parameters; performing text data extraction on the test scene information through a conversion function of the analysis component, and converting the format of the extracted text data into a target format to obtain first data; the target format is matched with a format supported by the analysis component; and generating an on-chip network test file corresponding to each test scene according to the first data and the sequence generation function. According to the embodiment of the invention, the efficiency of generating the test case can be improved, so that the test efficiency and test quality of the network-on-chip are improved.

The application discloses a kind of cloud desktop peripheral redirection automatic test method and terminal, by the mode of script, automatically obtain the peripheral equipment that local has accessed and automatically obtain the peripheral equipment information list of cloud desktop inside peripheral redirection;Get the peripheral equipment information after peripheral redirection in cloud desktop, then three kinds of information are compared, when comparing consistent, the simulation use test of peripheral equipment is carried out.Therefore, through the script automatic test can reduce manpower investment, improve test efficiency, and using script can guarantee the consistency and repeatability of test, through the quality of script can determine the quality of test, the task of repeatability is automated, improve accuracy, test efficiency and the enthusiasm of test personnel, conducive to the test maintenance of later period and does not need to occupy larger storage space.

The invention provides an EMMC pressure testing method and system combining PRBS7 and a clock code pattern in the technical field of EMMC testing, and the method comprises the steps: S1, creating an automatic testing script based on Python, randomly generating PRBS7 sequence data and a clock code pattern for each bus mode through the automatic testing script, and setting the size of a data block transmitted at a time; s2, obtaining the number of cycles, test interval time and test data; s3, the automatic test script automatically executes a pressure test on the EMMC based on the cycle index, the test interval time, the test data, the PRBS7 sequence data, the clock code pattern and the data block size; s4, recording a test log in real time in the process of executing the pressure test by the automatic test script; and S5, automatically generating a test report by the automatic test script based on the test log, displaying the test report, and storing and feeding back the test report. The method has the advantages that the test quality, the test efficiency and the universality of the EMMC pressure test are greatly improved.

The invention discloses a system, method and device for improving the test coverage degree of vehicle machine software, and relates to the field of software testing, the system comprises a data acquisition module, a data preprocessing module, a test coverage degree analysis module, a test quality evaluation module and a feedback and optimization module; the data acquisition module is used for acquiring burying point data generated during testing and running of the vehicle machine software in real time; the data preprocessing module is used for cleaning, classifying and preprocessing the collected data; the test coverage analysis module is used for analyzing the preprocessed data, including statistical analysis of the data to obtain software test coverage data; the test quality evaluation module is used for performing visualization processing according to a result of statistical analysis on the data, identifying the degree of covering a functional area in software test operation, and generating an evaluation result of the coverage degree; and the feedback and optimization module is used for generating a report for optimizing the software test strategy according to the evaluation result of the coverage degree.

The invention relates to the technical field of computers, and discloses a test case generation method and device, equipment and a medium, and the method comprises the steps: receiving a software test demand through a demand analysis agent, extracting a test point of the software test demand, and constructing a target knowledge graph according to the test point; generating an initial test case based on the test target knowledge graph through the case generation agent; executing the initial test case through the execution verification agent to obtain a test result; the test result comprises validity judgment and judgment basis of the initial test case; and in response to the test result, judging that the initial test case is an invalid test case, optimizing strategy parameters of each agent in the agent system based on the judgment basis through the evolutionary learning agent, and generating a new test case. The application can respond to the change of the test demand in real time, automatically adjust the test strategy, and improve the test quality and efficiency.

The application provides a cylinder atmospheric furnace sealing device for durability test and a cylinder atmospheric furnace, which comprises an upper sealing assembly and a lower sealing assembly; the upper sealing assembly comprises a first high-temperature-resistant sealing piece and a first fixing piece; the first high-temperature-resistant sealing piece is arranged on the upper pull rod; the first fixing piece is arranged on the side of the first high-temperature-resistant sealing piece away from the top surface of the cylinder atmospheric furnace; and the first fixing piece is arranged on the upper pull rod; the lower sealing assembly comprises a second high-temperature-resistant sealing piece and a second fixing piece; the second high-temperature-resistant sealing piece is arranged on the lower pull rod; and the second fixing piece is arranged on the bottom surface of the cylinder atmospheric furnace along the height direction of the second high-temperature-resistant sealing piece. The device can reduce the radiation and conduction heat dissipation of the furnace mouth of the cylinder atmospheric furnace, avoid the sealing failure caused by axial stretching and air flow disturbance during the test, ensure the uniformity of the temperature field in the furnace during the test, reduce the energy consumption and the burning loss of the test machine, and improve the test quality and efficiency.

The application discloses a kind of test vehicle door outer handle unlocking device, including unlocking pull wire, pull wire fixed support, device support and outer handle fixed mechanism;The device support is U-shaped structure, the U-shaped mouth outside of the device support is also equipped with multiple support fixed feet, the support fixed foot is connected with door, for fixing the device support;The pull wire fixed support is set in the back of the U-shaped mouth of the device support, for connecting unlocking pull wire;One end of the unlocking pull wire passes through the device support and is connected with the outer handle fixed mechanism, the other end is connected with unlocking drive motor;The outer handle fixed mechanism is used to connect vehicle door outer handle, for simulating the force point position of vehicle door outer handle.The application realizes to meet actual test demand and simulate actual application scene, help to improve the test quality of product and shorten test cycle, improve the matching accuracy of actual state.

The application provides a cylinder type lifting atmospheric furnace sealing device for creep test and a cylinder type atmospheric furnace, which comprises an upper sealing assembly and a lower sealing assembly; the upper sealing assembly comprises a first high-temperature-resistant sealing piece and a first fixing piece, and the first fixing piece abuts the first high-temperature-resistant sealing piece against the top surface of the cylinder type atmospheric furnace; the lower sealing assembly comprises a second high-temperature-resistant sealing piece and a second fixing piece, the second high-temperature-resistant sealing piece comprises a first high-temperature-resistant sealing block and a second high-temperature-resistant sealing block, the second high-temperature-resistant sealing piece is configured to be sleeved on a lower pull rod and a creep extensometer which can slide, and the second fixing piece fixes the first high-temperature-resistant sealing block and the second high-temperature-resistant sealing block on the bottom surface of the cylinder type atmospheric furnace. The device can reduce the radiation heat dissipation and conduction heat dissipation of the cylinder type atmospheric furnace, avoid sealing failure caused by axial stretching and air flow disturbance during the test, ensure the uniformity of the temperature field in the furnace during the test, reduce energy consumption and burning loss of the test machine, and improve the test quality and efficiency.

The invention discloses a software testing method and device and a storage medium. The method comprises the steps that a preset scene set and a scene coverage rate threshold value are acquired; in the process of testing the target software, determining a plurality of tested target scenes through burying points in software codes of the target software; and determining a test scene coverage rate according to the plurality of target scenes and a preset scene set, and triggering reminding information for the test scene coverage rate under the condition that the test scene coverage rate is lower than a scene coverage rate threshold value. Through the method and the device, the problem of relatively low test quality caused by easy missing of a test scene in related technologies is solved.

The utility model discloses a cutting jig which comprises a cutter, the cutter comprises a base plate and a blade, the base plate comprises a first surface and a second surface which are oppositely arranged, the blade is fixedly installed on the first surface, and a two-dimensional code image is arranged on the second surface of the base plate. The cutting jig provided by the utility model can replace manual cutting of the TIM material, ensures that the cut TIM material is complete and uniform in size, ensures the test quality, and reduces the loss of the TIM material at the same time.

The invention discloses a software testing method of a credential and credential system and electronic equipment. The method comprises the following steps: acquiring feature information of a to-be-tested credential system; according to the feature information of the credential and credential system and a preset hit standard of each standard test domain, determining a target standard test domain matched with the credential and credential system in each standard test domain; based on each target standard test domain, generating a test model corresponding to the credential system; and testing the credential system based on the test model. According to the method and the device, missing or redundancy of the test domain is avoided, the test quality is improved, quantitative evaluation of the test quality can be realized, and the test quality is effectively guaranteed.

The embodiment of the invention provides a knowledge base and agent-based PLM test case generation method and system, and the method comprises the steps: receiving and analyzing multi-source input information from a PLM system, and converting the multi-source input information into structured knowledge data; semantic retrieval is carried out based on the structured knowledge data, and related test cases are matched and recommended from a historical asset library; fusing a preset test method, and based on the identified specific risk scene in the PLM field, automatically generating a test case containing a basic function and a complex scene through an AI generation engine; and converting the generated use case into an executable script, running the executable script, collecting an execution result, and structurally returning the execution result to the knowledge base and the intelligent agent so as to optimize the generation and recommendation strategy. Unified fusion and expression of multi-source knowledge are realized, a special high-risk scene of the PLM can be accurately covered, the system is continuously self-evolved through a closed-loop feedback mechanism, and the automation and intelligence level and the test quality of PLM test case generation are remarkably improved.

The utility model discloses a gas cylinder sealing performance testing device, and belongs to the field of gas cylinder testing. The technical scheme adopted by the utility model is as follows: the gas cylinder leakproofness testing device comprises a fixed rack, and a gas cylinder leakproofness testing part is arranged above the fixed rack and can be used for testing the leakproofness of a gas cylinder; the device optimizes and improves the structure of an existing gas cylinder leakproofness testing device, performs multi-angle testing on a gas cylinder by arranging the outer wall testing component and the side wall testing component, effectively improves the quality and precision of gas cylinder leakproofness testing, can realize automatic testing of the gas cylinder, reduces the complexity of manual assistance, and improves the working efficiency. Therefore, labor loss is reduced.

The invention discloses a substrate, a system and a method for testing stacked chips. The substrate comprises a substrate body with a bare chip setting area, a plurality of independent bonding pad units arranged in a surrounding manner, and a connecting unit. The core is that the number of the bonding pad units is preset to be not less than the maximum stacking layer number of the to-be-tested chip, and the interface connecting points of the connecting units are independently and correspondingly connected with the bonding pad connecting points of different bonding pad units through internal wiring of the substrate. According to the testing system and method based on the substrate, through combination of channel reservation on hardware and selective resource allocation on software, compatibility testing on multiple layers of stacked chips by a single testing platform is achieved, and accurate and independent measurement on each layer of bare chips under power supply isolation is supported. According to the invention, the test efficiency and flexibility are improved, the test cost is reduced, and the test quality and reliability of the three-dimensional stacked chip are ensured.

The invention relates to the technical field of crossing of computer software testing and artificial intelligence, in particular to a method for intelligent arrangement and dynamic execution of an automatic testing scene of a complex system driven by a large model, which comprises the following steps of: 1, acquiring multi-source data; step 2, data preprocessing; step 3, constructing a system model; 4, training a large model and arranging a scene; and 5, performing test execution and dynamic adjustment. According to the method, a dual-mode data fusion layer is designed to realize unified representation of heterogeneous data, an end-to-end intelligent arrangement framework is constructed to get rid of manual dependence, a reinforcement learning dynamic adjustment mechanism is proposed to shorten abnormal response time, and a multi-target joint optimization strategy is established to balance coverage rate, efficiency and resource consumption. According to the method, the test arrangement efficiency can be improved by 3-5 orders of magnitude, the exception handling response time is shortened to the minute level, the test coverage rate is improved to 90% or above, meanwhile, the resource utilization rate is optimized by 20%-30%, and the test quality and delivery efficiency of a complex system are effectively guaranteed.

The application belongs to the technical field of integrated circuit testing, and discloses a kind of online test method for many-core network on chip based on software self-test, comprising the following steps: step 1: using bounded model checking to automatically generate test vector for software self-test method;Step 2: using Monte Carlo simulation method to solve the selection problem of test data packet configuration;Step 3: increase multi-thread mechanism in Monte Carlo simulation process.The application can not only realize high test quality, but also reduce test overhead.In addition, the application carries out online test in the functional mode of many-core network on chip, which can effectively avoid the untestable turn of data packet in the functional mode, thereby avoiding the problem of excessive test.

The application provides a testing device for an inertial sensor, which comprises a support frame, a rotating main body, a rotating disc, a testing turntable, a clamp, a gas supply pipe, a steel pipe, a support rod, a support block, a rotating joint, a rotating cylinder, a gas supply cavity, a pipeline and a gas supply system; the rotating joint and the rotating cylinder are arranged on the device; the gas generated by the gas supply system will sequentially pass through the pipeline, the gas supply cavity, the rotating joint, the steel pipe and the gas supply pipe and finally reach the inside of the clamp; when the clamp rotates, that is, when the testing turntable rotates, the gas supply pipe and the rotating cylinder will rotate at the same time; at this time, under the action of the rotating joint, the gas supply cavity and the pipeline do not rotate; since the gas supply pipe rotates synchronously with the clamp, the situation that the gas supply pipe is prone to bending is eliminated, the normal transportation of the gas is ensured, and the testing quality of the product is ensured.

The embodiment of the invention discloses a data recharge method and device, electronic equipment and a storage medium, relates to the field of intelligent driving, and can improve the test quality of a recharge test. The method comprises the following steps: acquiring pre-recorded sensor fusion information in a real vehicle test, wherein the sensor fusion information comprises fusion statistical information and at least one sensor data packet; wherein each sensor data packet comprises a data packet information header and measurement data, and the data packet information header comprises a receiving moment when the measurement data is received by the processor; the fusion statistical information comprises at least one statistical frame, and each statistical frame comprises a scheduling execution moment of one fusion operation and a data packet information header in the sensor data packet to be fused corresponding to the fusion operation; generating recharge data based on the sensor fusion information; and providing the recharge data to a to-be-tested object, so that the to-be-tested object is tested by using the recharge data. The method is suitable for vehicle testing.

The present invention relates to the field of multimedia technology and discloses a diagnostic method for a temporal feature extractor in a video quality evaluation model, comprising: inputting an ordered video frame set and an unordered video frame set into a video quality evaluation model for training to obtain an ordered training evaluation model and an unordered training evaluation model; using the ordered video frame set and the unordered video frame set to test the ordered training evaluation model and the unordered training evaluation model to obtain an ordered training ordered test quality score, an ordered training unordered test quality score, an unordered training ordered test quality score, and an unordered training unordered test quality score; calculating the evaluation accuracy of the video quality evaluation model to obtain a diagnostic result. The invention also proposes a diagnostic device, an electronic device, and a computer-readable storage medium for a temporal feature extractor in a video quality evaluation model. The present invention can solve the problems of the current video quality evaluation model in that it lacks a diagnostic temporal feature extraction module and consumes a large amount of computing resources.

The invention provides a method for constructing a data quality evaluation model, and belongs to the technical field of quality evaluation, and the method comprises the steps: collecting a to-be-evaluated data set, and obtaining a business demand and an application scene of the to-be-evaluated data set; determining an assessment index vector of the to-be-assessed data set based on the business demand and the application scene of the to-be-assessed data set; based on the to-be-evaluated data set and the evaluation index vector, determining a training quality feature matrix and a test quality feature matrix; and constructing a quality evaluation model based on the training set and the training quality feature matrix, and evaluating and optimizing quality evaluation performance based on the evaluation index vector, the test set and the test quality feature matrix. The method can enhance the capturing capability of the model for the data quality characteristics, achieves the high-precision evaluation of dynamic weighting, improves the intelligence and stability of the quality evaluation model, and improves the adaptability of the model in the quality management and analysis scenes of complex data.