940 results about "Functional testing" patented technology

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 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 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 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 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 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 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 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 provides a function test method and device, electronic equipment and a storage medium, and is applied to the technical field of computers, the method comprises the steps that after a test instruction for indicating a to-be-tested function of a target module is obtained, a target test case corresponding to the to-be-tested function is further obtained, and the target test case can call at least one preset test sequence; the preset test sequences comprise at least one test condition required for testing the to-be-tested function, finally calling each preset test sequence through the test case, constructing a verification scene for testing the to-be-tested function based on each test condition, and completing the test of the to-be-tested function. In addition, the test conditions included in any preset test sequence have no association relationship with other test conditions except the preset test sequence, and the preset test sequences of the to-be-tested function are mutually independent and can be called according to the test requirements in the test process, so that the function test efficiency can be effectively improved.

The invention provides a network card driven packet receiving and sending test method and device, and relates to the field of drive function test.A test message is generated through a test application based on an IOCTL interface, a network card driver is triggered by means of an IOCTL command to execute packet receiving and sending logic, direct interaction with the driver is achieved, and the physical transmission link of hardware is skipped; and the software logic processing capability of the driver is directly tested. The function correctness is verified through the test result returned by the driver, the data returned by the network card driver is determined by the software logic of the driver, only the driver processing result and the expected result need to be compared in the whole process, and whether hardware actually completes physical transmission of the message or not does not need to be concerned. And the dependence on hardware is fundamentally eliminated.

The embodiment of the invention provides a verification method and system for system degradation, equipment and a medium. A specific embodiment of the method comprises: in response to a degradation verification request of a user for a target system, starting a server to execute a corresponding target operation for the target system, and triggering a target event corresponding to the degradation verification request and for a verification server, event parameters comprising a test scene of the verification; in response to the target event, the verification server sends an event type and a test scene to the configuration server; the configuration server calls 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 sends the execution result to a verification server for determining a verification result for the degraded verification request. By means of the method, the efficiency of degradation verification and the verification frequency in a specific verification period can be greatly improved, and then the capacity of discovering degradation faults of the system through degradation verification is improved.

The invention belongs to the technical field of petroleum and natural gas drilling engineering, and relates to a rotary steering test method and system for simulating underground drilling fluid circulation in a workshop. The method comprises the following steps: firstly, determining a dynamic fingerprint and a tolerance band of a circulation channel of a target well section, wherein the dynamic fingerprint comprises a time domain step and a frequency domain phase index; constructing a test loop of a series-connected adjustable hydraulic dynamic equivalent module, wherein the module comprises a containing cavity, a throttling unit and an inertia pipe unit to regulate and control flexibility, damping and inertia; applying flow disturbance and collecting flow pressure data to obtain a current dynamic fingerprint; comparing the tolerance band to iteratively adjust module parameters until the fingerprint reaches the standard; and after locking the parameters, carrying out function testing. The problem that traditional testing is disjointed with underground working conditions can be solved, testing accuracy and reliability are improved, testing cost is reduced, and testing requirements of different well sections are met.

The utility model relates to the technical field of electronic product function testing, in particular to a plugging jig and a testing device. The base is provided with a first bearing plane, and the first bearing plane comprises a to-be-tested circuit board placing area; the mobile platform is slidably arranged on the first bearing plane, the mobile platform is provided with a second bearing plane, the second bearing plane inclines towards the direction close to the to-be-tested circuit board placing area, the included angle between the direction of the second bearing plane and the direction of the first bearing plane is an acute angle, and the second bearing plane is used for bearing a test line; the driving assembly is used for driving the mobile platform to slide to be close to the to-be-tested circuit board placement area; the driving assembly is also used for driving the mobile platform to slide away from the to-be-tested circuit board placement area. The automatic plugging of the test wire is realized, and the plugging action of the test wire is more standard, so that the damage to the connector is reduced. And the test line on the second bearing plane is obliquely arranged, so that the abrasion of the connector can be reduced compared with the mode that the connector is inserted in parallel.

The invention belongs to the technical field of server detection, and particularly relates to a server network function test method and system, a terminal and a storage medium, and the method comprises the steps: defining a test target, and configuring probe interface parameters and a resource scheduling strategy; the probe reports the CPU, the memory and the network interface utilization rate of the server to the control node in real time, and the control node adjusts the distribution of the test task by calculating the real-time load coefficient and the dynamic weight of the node according to the configured resource scheduling strategy; executing a multi-dimensional test based on the test points distributed after the test task is adjusted; through configuring a resource scheduling strategy in the step S1 and combining calculation of a node real-time load coefficient and a dynamic weight in the step S2, dynamic allocation of a test task is realized. When the node load reaches the threshold value, task migration is triggered according to the dynamic scheduling logic, resource waste caused by fixed node configuration is avoided, test resources are made to incline towards low-load nodes, the test period is remarkably shortened, and the resource utilization rate is increased.

The invention provides an HIL test system and method based on an IBC controller and a medium. The system comprises a software platform, a hardware platform, the IBC controller and an IBC actuator. Wherein the software platform comprises a whole vehicle dynamics model, the hardware platform comprises an actuator virtual model, the IBC controller and the IBC actuator are in intrusive hard wire connection through a fault injection board card, and the actuator virtual model is used for simulating the working characteristics of the IBC actuator. Interventional hardwire connection between the IBC controller and the IBC actuator is established through the fault injection board card, and the HIL test system can control functions needing to be tested in a mode of remotely controlling a fault injection mode. Meanwhile, the actuator virtual model can specifically simulate the working characteristics of the IBC actuator, so that the limitation of traditional hardware is eliminated, the whole test method can be completed through a pure model, and the conventional function test requirements can be effectively met.

The invention discloses a heterogeneous integration test method based on AI, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting heterogeneous integration operation data, and carrying out data cleaning, anomaly detection, feature extraction and standardized output of a standardized data set; generating a plurality of neural network frameworks by using random initialization and Bayesian optimization, and outputting an optimal neural network structure in combination with fitness evaluation; optimizing the neural structure network and outputting an AI test model by combining crossover variation, pruning optimization and a genetic algorithm; function testing, pressure testing and safety testing are carried out in a real environment, key performance indexes are calculated, and optimization suggestions are output in combination with test feedback data; and outputting an intelligent test model by using a model-independent meta learning and transfer learning method. Through combination of crossover variation, pruning optimization and a genetic algorithm, each network structure can meet different targets, and meanwhile, the test efficiency can be improved.

According to the test case level-to-level management system provided by the invention, a dynamic perception-intelligent decision-accurate execution closed-loop system is constructed through cooperative operation of the intelligent arrangement center module, the multi-modal test fusion module and the heterogeneous execution environment adaptation module. Real-time dynamic allocation of test resources is realized based on a bidirectional sensing mechanism, and the resource utilization rate is improved; a data feedback channel of five-dimensional linkage of interface testing, function testing, UI testing, performance testing and safety testing is established through a multi-modal testing fusion module, and cross-modal conversion and multiplexing are carried out on key testing elements such as boundary value cases and safety injection points, so that the coverage rate of a testing scene is increased, and the defect escape rate is reduced; the heterogeneous execution environment adaptation module realizes automatic identification and accurate matching of a virtual machine, a container and a physical machine environment based on a feature fingerprint database, manual configuration errors are eliminated, environment adaptation time consumption is reduced, the test period is greatly shortened, and the defect positioning efficiency is greatly 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 relates to the technical field of automatic ticket checker detection, and provides a test method and a test device for simulating passengers to pass through an automatic ticket checker. The test method for simulating passengers to pass through the automatic ticket checker comprises the steps that S100, a shielding piece is driven to move according to a preset track, a feedback signal of each passing detection sensor of each detection area is acquired, and the preset track is the track of simulating passengers to sequentially pass through each detection area in the movement process of the shielding piece; s200, based on the feedback signal, generating a test result for simulating the passenger to pass through the automatic ticket checker, the test result at least comprising a feedback time node of each pass detection sensor; and S300, under the condition that the test result meets the target simulation result, marking as completion of a test that the simulated passenger passes. According to the invention, the defects of high cost and low efficiency of a function test device of an automatic ticket checker in the prior art are overcome, and the test method and the test device for simulating passengers to pass through the automatic ticket checker with low cost and high efficiency are realized.

The embodiment of the invention relates to the technical field of vehicles, and discloses a function test method, device and equipment and a storage medium, and the method comprises the steps: responding to a test request of a to-be-tested function, and generating a test case of the to-be-tested function according to the target execution logic of the to-be-tested function and a preset test process; generating a control instruction for the HIL test bench through a test case for executing the to-be-tested function in a preset simulation space; and obtaining test data corresponding to the test case determined by the HIL test bench based on the control instruction. By applying the technical scheme of the invention, the function test of the vehicle can be more efficiently and accurately realized.

The invention discloses a link aggregation control protocol function test method and device, equipment and a storage medium, and relates to the technical field of network communication, and the method comprises the steps: obtaining network state data; generating a dynamic test message according to the network state data; performing a function test according to the dynamic test message to obtain multi-dimensional performance data, the multi-dimensional performance data including physical layer parameters, dynamic performance data and network performance indexes; and comprehensively analyzing the multi-dimensional performance data according to a preset evaluation strategy. Through automatic testing and multi-dimensional performance evaluation, comprehensive testing of the link aggregation control protocol function is completed, the technical problem that an existing testing method is low in accuracy and efficiency is solved, and reliability and comprehensiveness of link aggregation control protocol function testing are improved.

A network function configuration and test generation framework are configured to generate a test script indicative of a configuration and test cases for verifying a virtual function implemented in a virtualized computing environment. A test input is received that encodes information for verifying a network function. The information includes identification of a test tool, a target testbed for testing the network function, and network information including parameters for network conditions to be operational during testing of the network function. A data parser translates and formats the test input. The formatted test input in input to a topology discoverer configured to identify a network topology of the testbed and which network functions deployed on the testbed are emulated and which network functions deployed on the testbed are real. A configuration generator generates a configuration file usable to configure applicable network functions and their functionalities.

The utility model discloses a physical simulation platform for underwater robot function test, which belongs to the technical field of underwater detection equipment and is characterized by comprising a substrate, a master control module, a voltage-stabilized source, a communication module, a posture adjusting unit, a buoyancy unit, an oil tank, an underwater detection unit, a power unit and a display module. The base plate forms a platform, and the main control module, the voltage-stabilized source, the communication module, the posture adjusting unit, the buoyancy unit, the oil tank, the underwater detection unit, the power unit and the display module are fixedly installed on the base plate in a detachable mode. The physical simulation platform for the function test of the underwater robot realizes flexible and convenient operation through tiled layout, supports batch test, greatly improves the test efficiency, has the advantages of real-time data acquisition, modular design, reduction of labor cost, enhancement of safety, convenience in fault diagnosis and the like, and is suitable for popularization and application. And research and development and application of an underwater robot technology are greatly promoted.

The invention discloses a chip packaging test production line performance control method based on reinforcement learning, and relates to the technical field of quantum regulation and control, and the method comprises the steps: generating a joint state vector; inputting the joint state vector into a pre-trained reinforcement learning strategy model, and when a high-risk state is detected, triggering a causal intervention mark, and generating a frequency band reservation instruction, a forced forbidden instruction set and a quantum regulation and control instruction set; transmitting a frequency band reservation instruction, a forcible forbidding instruction set and a quantum regulation and control instruction set to a radio frequency test machine and chip packaging equipment through a communication interface, distributing a low-load test channel, forbidding a high-risk channel and adjusting temperature and pressure; and collecting test data of the chip function test, verifying the compliance of the test data, and generating a qualification report. According to the method, intelligent sensing and causal reasoning of the running state of the chip packaging test production line are realized through the reinforcement learning strategy model and the causal rule map.