1266 results about "Functional testing" patented technology

The invention discloses a method and a system for realizing automatic code generation by using multiple AI Agents, and relates to the field of electric digital data processing, a test driving agent receives a task transmitted by a previous node, and generates a task number, a task description, test data, a unit test script and a code statement; the code generation agent generates or updates codes according to the received task description and code declaration; the test driving agent returns an integrated test script and test data according to the task number; the continuous integration agent performs integration verification and regression test and feeds back information; the test driving agent returns a function test script, a performance test script and test data according to the task number; and the continuous deployment agent carries out continuous delivery and deployment and feeds back information. By means of mutual conversation and cooperative work of multiple AI Agents and in combination with a feedback mechanism, the problem that a single large model cannot complete complex software development tasks is solved, full-process operation automation can be achieved, and the code generation quality and efficiency can be improved.

The invention discloses an intelligent terminal function test method and system, and belongs to the technical field of intelligent terminal function test. The method comprises the steps that a dynamic demand tracking mechanism is constructed, UI elements are analyzed, and a topological graph marking resource occupation types and hierarchical dependence is generated; establishing a demand-use case-defect incidence matrix to realize automatic update of the use case state when the demand is changed; executing a test based on the topological graph and the matrix, traversing a path according to a preset strategy, collecting data and comparing an expected result; and optimizing iteration according to a test result, adjusting a node weight and a matrix mapping relation, and generating a new test path and a use case suggestion. The system comprises a dynamic demand tracking module, an incidence matrix management module, a test execution module, an optimization iteration module and a data storage module. According to the method, the test range is accurately adapted to the demand change, the test coverage and the defect tracing efficiency are improved, a test strategy closed-loop optimization mechanism is formed, and the test requirements of a complex system and an agile development mode are met.

According to the operator code generation method and system based on large model driving and a multi-agent cooperation mechanism, automatic high-performance code generation is achieved through cooperative work of four kinds of agents including strategy recognition, operator generation, compilation testing and function testing. A strategy identification agent accesses a high performance optimization knowledge base (HPOK) by using retrieval enhancement generation (RAG), analyzes operator characteristics by means of a hybrid expert model (MoE), and generates an optimization strategy protocol oriented to a specific optimization target. And the operator generation agent calls a large language model (LLM) to generate an initial code, and iteratively corrects the code according to feedback iteration of compiling and function testing. And the compilation test and function test agents execute code compilation verification and function correctness verification respectively to form a closed-loop error correction mechanism. According to the scheme, through a modularized cooperation framework and dynamic knowledge retrieval, the operator code generation efficiency and quality oriented to diversified hardware platforms such as a CPU and a GPU are remarkably improved.

The invention relates to the technical field of CPU card chips, and discloses a CPU card chip test method, device and equipment and a storage medium, and the method comprises the steps: carrying out the data collection of a CPU card chip, and obtaining an initial test data matrix; constructing a test parameter association diagram of the initial test data matrix and predicting missing data to obtain a complete test data matrix; performing principal component analysis on the complete test data matrix to obtain an effective test data set; constructing a multi-level fuzzy set according to the effective test data set to obtain fusion test data; and inputting the fusion test data into a variational auto-encoder for self-supervised pre-training, executing conditional interpolation by using a diffusion state space model to obtain a defect detection result and an uncertainty estimation value, and realizing optimal fusion of electrical characteristics and functional test data by using a multi-stage fuzzy set and an adaptive weight adjustment mechanism. Complementary advantages of dual-channel data are fully utilized, and a more comprehensive and accurate test result is provided.

The invention provides an electric energy meter PCB function test method and device, a medium and equipment, and the method comprises the steps: obtaining a multi-channel signal source, automatically adjusting the characteristics of an input signal based on a feedback signal of an electric energy meter through a self-adaptive algorithm, and determining the consistency of the working characteristics of the input signal and the working characteristics of the electric energy meter; a virtual power grid environment simulation model is constructed, through integrated power simulation software and dynamic interference simulation, simulation signal source automatic adjustment signal characteristics are input into the virtual power grid environment simulation model based on the integrated power simulation software to synthesize a composite signal, and load fluctuation of an electric energy meter in actual operation is simulated based on the composite signal. Determining an electric energy meter test data set; according to the invention, the fault mode of the electric energy meter can be automatically identified, the test data can be analyzed in real time, and fault diagnosis and optimization suggestions can be automatically given. The intelligent diagnosis mode is far better than a traditional manual detection method, and the speed and accuracy of fault diagnosis can be remarkably improved.

The invention relates to the technical field of software development, and discloses an automatic UI function test method and system, electronic equipment and a storage medium. The method comprises the steps of receiving a natural language test requirement; intercepting an interface image in real time and transmitting the interface image to a multi-modal analysis module through an API; interface element layout is identified based on computer vision (CV), demand semantics are analyzed in combination with natural language processing (NLP), and a dynamic operation instruction set is generated; driving the automatic tool to execute clicking, sliding and input operations through the API; dynamically adjusting a test path according to execution feedback, and covering a multi-scene case; interface element states, system logs and performance data are monitored in real time, and automatic verification is achieved through multi-dimensional data comparison. According to the method, multi-modal recognition and AI intention understanding technologies are fused, the problems that a traditional UI test script is high in maintenance cost and low in scene coverage rate are solved, non-intrusive self-adaptive full-process testing is achieved, and the testing efficiency is improved by 40% or above.

The invention discloses an automatic software function testing and evaluating method based on a multi-modal large model, and particularly relates to the field of non-embedded software function testing and evaluating, which comprises the following steps: collecting software texts, images and structured data, generating corresponding feature vectors, aligning through a cross-modal comparison algorithm, and constructing a multi-modal testing and evaluating data set; deep features of all modes are extracted through a mode exclusive encoder, and a unified multi-mode function vector is output based on information entropy dynamic weighted fusion; constructing triple training data, and optimizing the multi-modal large model by combining a joint loss function with an enhanced training strategy; and finally, deploying the model at a cloud end and an edge node, carrying out real-time triggering test by docking a CI / CD process, and realizing functional integrity verification, interactive compliance detection and accurate defect positioning through semantic vector comparison, graph isomorphism rate calculation and cross-modal attention backtracking. According to the scheme, the test comprehensiveness and precision are improved, and the rapid iteration requirement of software is met.

The invention discloses a multi-dimensional intelligent analysis and fault traceability system for ACU final test data, and relates to the technical field of data analysis. The multi-source heterogeneous data acquisition module is used for acquiring operation parameters, function test data and assembly data through a CAN bus, test equipment and a production system, and is provided with a high-precision timestamp; the data cleaning and preprocessing module is used for standardizing data, filtering and denoising, synchronizing time and complementing missing values; the multi-dimensional feature extraction module is used for extracting features from a time domain, a frequency domain, a time sequence and a space; the intelligent fault diagnosis module is used for classifying faults by using a random forest and a D-S evidence theory and evaluating severity; the fault traceability reasoning module is used for constructing a fault propagation graph and positioning root causes through a Bayesian network; and the visual display and early warning module is used for generating a three-dimensional fault tree and a thermodynamic diagram and triggering graded early warning. According to the invention, the fault detection rate and traceability efficiency are improved, the false alarm rate is reduced, early warning is realized, the ACU test process is optimized, and the product quality and safety are guaranteed.

The invention provides a chip testing method and system, and relates to the technical field of chip testing. According to the invention, in response to a material receiving control instruction, the adsorption devices of the plurality of test assembly lines are controlled to alternately move to the feeding machine and adsorb the tested chips on the feeding machine, and then the adsorption devices are controlled to sequentially carry the tested chips to each carrying device; each carrying device is used for carrying the tested chip to the corresponding testing mechanism for functional testing, and finally, after testing of the tested chip is completed, the adsorption device is controlled to carry the tested chip to the discharging machine for discharging. According to the technical scheme, the adsorption devices of the multiple test assembly lines are controlled to alternately adsorb the tested chips and alternately discharge the tested chips, so that the waiting time of the feeding machine and the discharging machine can be shortened, feeding and discharging can be carried out without interruption, the test efficiency of the test system is improved, and the test time is saved.

The invention discloses a compilation optimization pass combination optimization method based on deep reinforcement learning. The method comprises the following steps: 1) collecting a reference program data set for various general function tests; 2) constructing a deep reinforcement learning-based compilation optimization pass-combination optimization strategy model for a compilation optimization pass-combination optimization process, wherein the compilation optimization pass-combination optimization strategy model comprises agent D3QN construction and definition of a reward space, a state space and an action space; 3) introducing a composite program feature combined with basic features such as a control flow embedding vector extracted by the graph neural network, an instruction number, a basic block number and the like into the expression of the state space, enriching the expression ability of the state, optimizing the pass based on the state selection and acting on the intermediate expression by the D3QN, generating an award, and obtaining the state space; and repeating the loop of feature extraction-action selection-reward generation until the maximum action upper limit is reached, and generating an optimized pass combination adapted to the program features. The problem that in existing compiling optimization, the compiling optimization effect on part of programs is poor is solved.

The invention discloses a network communication link fault detection and positioning method, device and equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: starting a virtual USB service of a substrate management controller to establish a network communication link between the substrate management controller and a remote server; obtaining link configuration information of the network communication link; performing fault detection on the network communication link based on the link configuration information to obtain a link fault detection result; wherein the link fault detection result comprises a connectivity verification result, a function test result and a performance evaluation result; and performing fault positioning by using the link fault detection result to obtain a fault positioning result. The efficiency of network communication link fault detection and positioning is improved, and the original system configuration is not affected.

The invention discloses an automatic test case generation method and system based on a large model, and the method comprises the steps: multi-modal data fusion: receiving a natural language demand, a UML design drawing, an API document, a historical defect log and system monitoring data, aligning text and image features through a CLIP model, analyzing the interface constraint through CodeBERT, and carrying out the multi-modal data fusion; feature fusion is realized by adopting a cross-modal attention mechanism; a dynamic test scene modeling step: constructing an environment simulator based on reinforcement learning, and simulating high-concurrency, distributed abnormal and other complex scenes; and a layered test case generation step: generating a function test case, a boundary test case and an increment test case through GPT-4, GAN and LSTM respectively, and introducing an entropy evaluation model to quantify the effectiveness of the cases. According to the method, the multi-modal data is brought into the test case generation process for the first time, the test case generation time is shortened by 80%, the complex scene coverage rate is increased to 95%, the semantic matching degree reaches 92%, and the intelligent level and efficiency of software testing are remarkably improved.

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.

According to the automatic test error-proofing detection method and detection system disclosed by the invention, after a test instruction is received, verification requests generated by bar codes of a needle bed upper mold and a needle bed lower mold are received; sending to a selected product test program to judge whether the needle bed upper die and the needle bed lower die and whether the needle bed name is matched with the current product test program or not; if not, stopping the test, otherwise, after the to-be-tested product is placed in place, receiving a serial number of the to-be-tested product generated by the bar code of the to-be-tested product, and querying and obtaining internal card binding information of the corresponding to-be-tested product; controlling the test tool to start and electrify the to-be-tested product, acquiring identity information of an internal clamping piece actually mounted in the to-be-tested product, comparing the identity information with inquired binding information of the internal clamping piece, if the identity information is consistent with the binding information of the internal clamping piece, carrying out subsequent function test, otherwise, sending error information of the internal clamping piece, and controlling the test tool to pull open an upper die and a lower die of the needle bed; therefore, automatic error-proofing detection of each module test of the industrial control system is realized.

The invention belongs to the technical field of missile system testing and data processing, and particularly relates to a steering engine testing method and device, and the method comprises the steps: respectively testing a controller, a driver, an actuator, a cable and all parts of accessories which form a steering engine system; all the component units are assembled; carrying out matching test on each composition unit; the steering engine is assembled, and system electrical communication is completed; performing function test and performance test on the steering engine in a normal temperature state; performing performance test on the steering engine under various environment test conditions; testing the limits of the steering engine under various boundary conditions; carrying out local abnormal value detection and elimination on all test data; and analyzing the test data to obtain a steering engine test result, and generating a test report. By improving the testing method, coverage of ground testing content of the steering engine is guaranteed, and the reliability of the steering engine is improved; by designing a data processing and data analysis method, steering engine test data are processed, and the test efficiency is improved.

The embodiments of the disclosure provide a method, a system, a device and medium for verification of system degradation. A specific implementation of the method includes: in response to a degradation verification request sent by a user for a target system, an initiation server executing a corresponding target operation for the target system, and triggering a target event for a verification server that corresponds to the degradation verification request, an event parameter includes a test scene for this verification; in response to the target event, the verification server sending an event type and the test scene to a configuration server; the configuration server calling a test server to execute a function test task for the target system according to the event type and the test scene; the test server sending an execution result to the verification server for determining a verification result of the degradation verification request.

The invention relates to the technical field of embedded system testing, in particular to a method for testing functionality and stability of a core board service component, which comprises the following steps of: initializing a core board testing environment, ensuring that software and hardware parameters are consistent in a testing process, and aiming at the service component on a core board, testing the service component on the core board; the method comprises the following steps of: analyzing and generating a dependency relationship graph among components by utilizing a dependency graph model, optimizing a key dependency relationship through a deep learning model, performing functional testing on the components according to a priority based on the optimized dependency relationship graph, and testing the stability of a core board during high-concurrency and multi-task operation through multi-thread scheduling and concurrent task simulation. Abnormal, resource competition and deadlock problems are detected; and finally, in combination with an actual application scene, carrying out component hot plug, network abnormity, power-off recovery and other scene tests, and analyzing test data to generate a comprehensive test report. According to the method, the test coverage rate and efficiency are improved, and stable operation of the system under complex conditions is ensured.

The invention discloses a multi-language code generation method based on self-supervised pre-training, which comprises the following steps: acquiring and cleaning multi-language code data to form a training corpus; the method comprises the following steps: representing code data as an abstract syntax tree, extracting a control flow diagram and a data flow diagram of the code data, and obtaining unified semantic representation through combination of a diagram encoder and a sequence encoder; designing a self-supervised pre-training task, and pre-training the semantic representation based on the training corpus; constructing a multi-language pre-training model based on the structure-improved recurrent neural tensor network and the multi-language embedding matrix; when a user inputs a natural language, generating a target language code by using the multi-language pre-training model; and target language code correction is carried out through conventional function testing and grammar checking. According to the method, multi-channel recursive combination and a hierarchical recursive expansion mechanism are combined with self-supervised pre-training, so that accurate generation and performability improvement of cross-language codes are realized.

The invention provides a testing method and device based on a large model, an intelligent agent, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, large models, automatic testing and the like. According to the specific implementation scheme, in response to a received description document for a to-be-tested application, a large model is called to generate a test case for testing the to-be-tested application based on the description document, and the description document indicates a to-be-tested function of the to-be-tested application; performing function test on the to-be-tested application by utilizing the test case to obtain test information; calling a large model to carry out test abnormity positioning analysis based on the description document, the test case and the test information, and determining an analysis result; under the condition that the analysis result represents that the test case is abnormal, the large model is called to repair the test case, and an updated test case is obtained.

The invention relates to an intelligent electric control module automatic assembly test line which comprises a machine table and a circulating conveying unit arranged on the machine table, the circulating conveying unit comprises a jig conveying mechanism and circulating lifting mechanisms, and the circulating lifting mechanisms are arranged on the two sides of the jig conveying mechanism; the jig conveying mechanism comprises a first jig conveying device and a second jig conveying device which are arranged in parallel up and down; the feeding and assembling unit comprises a bottom shell feeding mechanism, a PCBA feeding mechanism and a face shell feeding mechanism which are sequentially arranged in the conveying direction of the first jig conveying device, and one side of the bottom shell feeding mechanism, one side of the PCBA feeding mechanism and one side of the face shell feeding mechanism are each provided with a tray conveying mechanism; the press-fit unit comprises a first carrying mechanism, a press-fit workbench and a press-fit mechanism; the function testing unit comprises a carrying manipulator and a plurality of groups of testing mechanisms, and each group of testing mechanism comprises a plurality of testing devices; the detection unit comprises a rotary conveying device and a detection assembly, the detection assembly comprises a plurality of detection cameras, and a plurality of detection jigs are arranged on the rotary conveying device. Self-circulation use of the jig can be achieved, the automation degree is high, and the overall operation cost can be effectively saved.

The invention belongs to the field of automatic testing, and particularly relates to an automatic testing system and method for aviation fly-by-wire flight control equipment, and the system comprises a system self-inspection unit, a system resource unit, a system interface adaption unit, and a system testing control unit. And the system self-checking unit controls the automatic test system to execute a self-checking function through operation software. The test efficiency and the test coverage rate can be remarkably improved, the problem of function test omission can be effectively solved, the fault of the tested airborne avionics equipment is analyzed by adding the YMECA fault analysis module and combining the definition event and the structure function of the fault tree, qualitative analysis is carried out on the fault, a professional basis is provided for fault diagnosis, the maintenance difficulty is reduced, and the test efficiency is improved. The aircraft maintenance guarantee efficiency is improved, and joint test of a plurality of airborne avionics devices and parallel test of a plurality of airborne avionics devices of the same model in a fly-by-wire flight control system of a certain type of fighter can be realized.

The invention relates to the technical field of driver testing, in particular to a testing method, system and device of a multi-axis integrated servo driver and a medium. The method comprises the following steps: firstly, synchronously collecting communication information such as an EtherCAT bus state and a connection state, and operating parameters such as a band-type brake signal, torque feedback and an IO state, and constructing a complete state data chain; then analyzing the collected data in real time to obtain a function test result; carrying out abnormity judgment and alarm triggering based on a test result; finally, the test process is intelligently adjusted according to the alarm information, the accuracy of fault diagnosis is improved through cross analysis of the information, meanwhile, self-adaptive adjustment of the detection process is achieved, and the test efficiency and reliability are remarkably improved.

The invention discloses a generation method, device and equipment of an automobile gateway test project and a storage medium, and relates to the technical field of automatic testing of vehicle-mounted electronic controllers, and the generation method of the automobile gateway test project comprises the steps: obtaining a gateway function demand template document; according to the gateway function requirement template document, function calling and test environment configuration in an automobile bus communication matrix file and a gateway function test function library file are generated; integrating the function calls to form an entry file of an automatic test main program; and forming a test project according to the automobile bus communication matrix file, the entry file and the test environment configuration. According to the method and the device, an automatic test project can be generated, the test project can simulate an actual vehicle communication scene and verify whether the gateway can correctly process and forward the message according to a predetermined function requirement, so that test omission is avoided, the test efficiency is improved, and the reliability and the effectiveness of a test result are ensured.

The invention discloses a high-precision multi-interface collaborative FTU dynamic function test system and method. The system comprises a protection unit, a test bearing unit, a core test unit and a control system, the protection unit is composed of an acrylic transparent protection cover and a metal plate box body, and a test space is formed. The test bearing unit comprises a quickly replaceable carrier plate, an access structure and a positioning assembly, and the positioning assembly comprises a positioning pin and a guide block; the core test unit comprises a pressing plate structure, an endoscope and a test module; the test module is integrated with a key, a short circuit bolt, a network port, a DB9 and an aviation plug test module; the safety detection unit comprises a safety grating, an anti-pinch device and a pre-feeding induction mechanism, and the safety grating is arranged at the inlet of the test space; and the control system controls starting, execution and result uploading of the test process. The method is used for solving the technical problems of insufficient positioning precision, poor interface test collaboration, low safety protection reliability and limited automation and intelligence level in the existing FTU test.

The invention relates to a test case generation method and device and electronic equipment, and relates to the technical field of vehicle function testing. The technical problems that the efficiency is low and the accuracy is poor when the vehicle function is tested and the test case of the vehicle function is generated are at least solved. Comprising the steps that based on a test case generation request, target function information and a target test case are obtained from a knowledge graph, the test case generation request is used for requesting to generate a test case of a to-be-detected function of a to-be-detected vehicle, and the knowledge graph comprises a corresponding relation between reference function information and a reference test case; the target function information and the target test case are associated with the to-be-detected function; and based on the test case generation request, the target function information and the target test case, generating a test case of the to-be-detected function. The efficiency and the accuracy of generating the test case of the vehicle function are improved.

The invention relates to the technical field of frequency converter detection, in particular to a quality test board for frequency converter production and processing and a test method, an interface management module automatically identifies and manages interface connection, the problem of inaccurate data caused by misplug or misconnection is avoided, and the test safety is enhanced at the same time. The test execution module covers multiple aspects of performance test, protection function test, communication test, load simulation test and the like. The data acquisition module acquires key parameters in real time and provides detailed data support for subsequent analysis. And the data analysis module quickly identifies abnormal conditions and generates a test report through preprocessing, anomaly detection and performance evaluation. The fault diagnosis module can quickly identify fault types, accurately position fault positions, provide repair suggestions and shorten maintenance time. Therefore, the problem of inaccurate detection data of the frequency converter caused by misplug or misconnection when a tester repeatedly executes interface plugging operation is solved.

The present invention discloses a data analysis system for the assembly quality of clock products, which relates to the technical field of clock assembly quality evaluation and management. The data analysis system for the assembly quality of clock products includes a data acquisition module for acquiring data after the assembly of the clock products to be analyzed, a first data analysis module for respectively performing data analysis on the collected data to obtain an appearance integrity index and an assembly accuracy index, a second data analysis module for acquiring functional test data and analyzing to obtain a functional reliability index, and a comprehensive analysis module for comprehensively analyzing the appearance integrity index, the assembly accuracy index, and the functional reliability index to obtain an assembly quality index. The present invention judges and analyzes the assembly quality index through an assembly repair management module and takes corresponding assembly repair measures, so as to accurately evaluate the tiny errors existing inside the clock after assembly, ensure the precision and stability of the clock products, and then comprehensively evaluate the product quality.

The invention discloses an automatic multi-channel solid-state relay testing device, and belongs to the technical field of electrical element detection and intelligent manufacturing testing. The device comprises an insulation and voltage resistance test module, a direct current function test module, an alternating current function test module, an automatic load test module and an MES execution management module. The device has the advantages of complete testing functions, high precision, high automation degree, wide adaptation range and the like, and is suitable for delivery inspection and life verification of various solid-state relays.

The invention relates to the field of software security, and particularly discloses a software patch security execution method and system based on container isolation. The method comprises the following steps of: receiving a target software path and a patch file path through a Go language; creating a temporary container environment, mounting a software directory in a read-only mode, and mounting a patch file in an executable mode; running a network monitoring module in a host machine, intercepting all network requests of the patch program in the container by adopting a transparent agent, and prompting a user to make a decision in real time; executing the predefined function test script in the container, and verifying the integrity of the core function through weighted calculation; and if the function test is passed and no network request is blocked, synchronizing the modified file in the container to a target directory of the host machine, otherwise, automatically destroying the container. According to the method, malicious codes are isolated through the container, network behaviors are dynamically monitored, functional integrity is automatically verified, and the problems of security risks and environmental pollution of patch application are effectively solved.

The invention discloses an AC / DC charging pile full-function test method and platform, and relates to the technical field of charging pile testing, and the method comprises the steps: setting a full-function test table based on a plurality of AC / DC charging piles of a target power station; establishing a full-function test model; introducing a simulation power supply matrix of a target power station, and drawing up an interaction test scene of a plurality of AC / DC charging piles; according to the configured interaction test scene, acquiring simulation test data, and outputting a full-function test report; and fault positioning mining is carried out by combining the power supply function test branch, the communication protocol test branch, the safety protection test branch and the compatibility test branch, and fault reminding is carried out. The technical problems that an existing alternating current and direct current charging pile is not comprehensive in testing, and faults are difficult to accurately and rapidly position and repair are solved, and the technical effects that the comprehensive function testing of the alternating current and direct current charging pile is achieved, the faults can be found in time, a repair scheme and reminding can be provided, and stable and reliable operation of the charging pile is guaranteed are achieved.