1666 results about "Functional testing" patented technology

Methods and systems for artificial intelligence (Al) assisted automation of testing of a software functionality related to a user intent on a software platform is provided. In one embodiment, the method includes receiving user action data indicating the user intent related to a software platform and generating a human-readable test scenario. The test scenario, which includes a sequence of human-readable testing steps and an expected outcome, is generated using a scenario machine learning (ML) model. The method includes generating an interpretable test script based on the test scenario using a script ML model. The test script is interpreted to implement testing steps on the software platform, generating a test outcome. A human-readable test report is also generated to evaluate the test scenario on the software platform, based on the test outcome and the expected outcome.

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 present invention discloses a computer motherboard automated integrated test and intelligent diagnosis system and method, which relates to the field of computer motherboard test diagnosis technology, including a test platform building module, multi-interface adaptation and automatic motherboard identification, including a high-precision signal source and acquisition card, a modular architecture and high-speed bus interconnection; a test project execution module, which carries out multiple functional tests and simulates multiple scenarios to adjust the load; a data acquisition and storage module, which synchronously acquires multiple types of data through multiple channels, and has distributed storage and redundant backup; an intelligent diagnosis and analysis module, big data and machine learning algorithm diagnosis, a report generation and output module, a template engine generates reports and optimizes layout; a system self-check and calibration module, which starts each self-check module. The present invention realizes efficient and accurate testing of computer motherboards, reliable data acquisition and storage, modular design facilitates upgrading, and convenient remote functions, improves test and diagnosis efficiency and quality, helps motherboard production, maintenance and research and development, and enhances industry competitiveness.

The invention discloses a code reconstruction method and system based on data stream slicing and large language model driving, and belongs to the field of software engineering. The method comprises five parts of code preprocessing, data stream analysis, construction of cue words of a large language model, function testing and code review. According to the method, firstly, codes needing to be reconstructed are preprocessed and converted into a unified format; secondly, performing data stream analysis on the preprocessed codes, and dividing independent logic blocks; generating cue words according to a data flow analysis result and historical behaviors, and inputting the cue words into a large language model to obtain reconstructed codes; and finally, the codes before and after reconstruction are tested, and whether re-reconstruction is needed is detected, so that reconstruction of the long method codes is realized, and the accuracy and efficiency of code function division and method extraction are optimized.

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 firmware testing method, electronic equipment, a storage medium and a program product, and relates to the technical field of computers, functional testing of to-be-tested firmware is carried out with a functional module as a unit by positioning a modified to-be-tested functional module in the to-be-tested firmware, and according to the modification type and the attribute feature of the to-be-tested functional module, the to-be-tested firmware can be tested according to the modification type and the attribute feature of the to-be-tested functional module. Automatic screening and issuing of the target test case are realized, and the test efficiency of the to-be-tested firmware is improved.

The invention discloses a high-capacity solid state disk single event effect testing method and device based on high-energy particles. The testing method comprises the steps that an SSD user data preset experiment is carried out; based on the data preset experiment, utilizing a device to carry out an irradiation test, judging whether the SSD module has errors such as single event locking and function interruption under an irradiation condition, determining a judgment result, carrying out quantitative calculation on the errors, and outputting a function test result; based on the function test result, performing a silent data destruction test in a post-irradiation test stage; recording silent data destruction and fixed bit error data according to the silent data destruction test; and based on the silent data destruction and the fixed bit error data, carrying out error characteristic quantification calculation, and outputting a calculation result. According to the method, parameterized evaluation of the radiation resistance of the SSD can be realized.

The invention discloses a cross-platform software compatibility testing and optimizing method, belongs to the technical field of software testing, and aims to solve the problem of existing cross-platform software compatibility testing. Firstly, software is installed on different test platforms, and function, interface and performance tests are carried out; the function test simulates user operation, calculates an average response delay time difference and a success rate, and marks functional abnormality key points; dividing detection points in interface testing, analyzing color, definition and coordinate values, and marking interface abnormal key points; the performance test monitors the number of flash quit times and the completion duration, and marks performance abnormity key points; then, the abnormal key points are sent to a positioning display module, different mark circles and colors are set in a problem display model according to abnormal types and severity, and priority ranking is carried out; maintenance personnel can optimize the software according to the data in the problem display model, so that the root of the problem is quickly positioned, the development efficiency is improved, and the quality and stability of the software on different platforms are ensured.

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 a memory error injection test method and device, an interface, a storage medium and electronic equipment. The method comprises the following steps: acquiring a basic test case, a hardware error injection test object and a test condition; whether a hardware error injection test needs to be executed or not is judged, if yes, the hardware error injection test object is tested according to test conditions and a basic test case, and a hardware test result is obtained; if not, skipping the hardware error injection test; obtaining software error injection test items and all function test cases corresponding to each software error injection test item; receiving an error injection parameter corresponding to the software error injection test item, and sequentially executing all the function test cases corresponding to the software error injection test item based on the error injection parameter to obtain a software test result; and obtaining a firmware test result according to the hardware test result and the software test result. Based on hardware error injection and software error injection, defects in firmware design can be covered, and firmware algorithm stability and self-recovery capability detection is realized.

The utility model relates to a chip testing device and a chip. The chip testing device comprises a testing machine, at least two testing plates and a switching circuit board, the test machine is used for testing the to-be-tested chip at a preset temperature; the test board is used for bearing a to-be-tested chip, carrying out functional test and electrical test on the borne to-be-tested chip at different temperatures, and feeding back a test result to the test machine; the switching circuit board is connected with the test machine and the at least two test boards, a plurality of multiplexing pins are arranged on the switching circuit board, and the multiplexing pins are connected with the at least two test boards and used for transmitting test signals provided by the test machine to the at least two connected test boards in parallel. According to the chip testing device, multiple chips to be tested can be tested at the same time, the testing time is shortened, the testing efficiency is improved, the testing time cost and labor cost are reduced, the overall project progress is accelerated, and the machine utilization rate is effectively improved.

The invention relates to the technical field of core board testing, in particular to a core board cross-platform function testing and verifying method which comprises the following steps: building a testing environment of a plurality of operating systems and hardware platforms through a virtualization technology or actual hardware, automatically generating a cross-platform compatible testing script based on core board function requirements, supporting multi-platform operation, and verifying the core board cross-platform function. Executing the test scripts in parallel on the platforms, recording and analyzing running logs and outputting results; functional consistency on different platforms is verified through a Hash comparison algorithm, it is ensured that the core board has the same function under the multi-platform environment, performance testing is conducted on all the platforms, performance bottlenecks are recognized, and optimization is conducted through an adjusting and optimizing tool; and finally, verifying the repairing effect through fault positioning and regression testing, and automatically generating a test report. According to the method, the efficiency of cross-platform testing of the core board, the accuracy of function verification and the effect of performance optimization are improved, and the method is suitable for core board testing and optimization scenes in a complex multi-platform environment.

The invention relates to the field of code instrumentation, and discloses a method for analyzing front-end page coverage rate based on code instrumentation, which is used for solving the problem that part of coverage rate data cannot be acquired when code analysis is performed through code instrumentation, and comprises the following steps: adding an instrumentation configuration plug-in in a front-end project, the method comprises the following steps: deploying a front-end project containing an instrumentation code into a test environment, executing a function test of a front-end page in the test environment, recording each executed code path, regularly reporting collected coverage rate data, receiving and processing the coverage rate data from the front end, and storing the processed data in a database. According to the method, the coverage rate report is generated and checked, test case optimization is carried out for uncovered code paths, the test is executed again, the optimized coverage rate data is reported again, and a new coverage rate report is formed through data processing and report generation, so that the accurate test range is effectively narrowed, and the difficulty in analyzing the coverage rate data is reduced.

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.

The invention discloses a safety interlocking testing device for a quick-opening pressure vessel, which is characterized by comprising a first pipeline system, a second pipeline system and an electrical control system, the first pipeline system and the second pipeline system are both connected with the electrical control system; the first pipeline system comprises a first pipeline body and a first pressure sensor; the second pipeline system comprises a second pipeline body and a second pressure sensor; when a functional test is carried out on the safety interlocking device under the condition that a door or a cover of the quick-opening-door pressure container is not closed in place, the first pipeline system and the second pipeline system are connected with a third electromagnetic valve of the quick-opening-door pressure container. Whether the safety interlocking function is normal or not is judged by judging readings of the first pressure sensor and the second pressure sensor; when functional testing is carried out on the safety interlocking device under the condition that internal pressure of the quick-opening pressure container is not completely released, the first pipeline system is connected with a pressure gauge of the quick-opening pressure container, the under-pressure working condition of the quick-opening pressure container is simulated, and whether the safety interlocking function is normal or not is judged according to whether a door or a cover of the quick-opening pressure container is opened or not. The beneficial effects of the invention are that the system can safely and rapidly carry out the functional testing of the safety interlocking device, and is effective, safe, energy-saving and applicable.

The embodiment of the invention provides a function test method, computer equipment, a storage medium and a program product. The method comprises the following steps: under the condition of performing a pressure test, executing a function test instruction, and acquiring occupation data of hardware resources in the process of executing the function test instruction; determining a pressure difference value according to the occupation data and preset pressure data; and under the condition that the pressure difference value does not meet the pressure condition of the function test, adjusting hardware resources occupied by the pressure test according to the pressure difference value. The method is used for achieving the effect of improving the stability of the function test environment.

The present invention provides a system and method for testing intelligent driving functions based on a four-motor test bench, including: a test bench system, a main control system, and an intelligent test system; the intelligent test system is used to create and manage virtual models and driving scenarios; the main control system is used to set and receive operating signals of the test bench system based on virtual driving scenarios; the test bench system is used to operate the test vehicle based on the operating signals of the test bench system. The present invention combines the test bench system and the intelligent test system to achieve closed-loop simulation of scenarios of drivers, vehicles, steering, and high-precision simulation software.

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

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 embodiment of the invention provides a function test method and device for a random access memory and a storage medium, and belongs to the technical field of memories. The method comprises the following steps: configuring a test function instruction, an input parameter item and an output verification item corresponding to the test function instruction, and a parameter combination mode corresponding to the input parameter item in a preset test view; determining a plurality of target input data of the test function instruction according to the input parameter item and the parameter combination mode; calling a test template of the test function instruction, and generating a plurality of test cases according to the test template and the plurality of target input data; generating a verification script according to the output verification item; issuing a test instruction to a target random access memory according to the test case; and querying a test result from the target random access memory according to the verification script and outputting the test result. The embodiment of the invention can improve the test efficiency.

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.