65 results about "Scenario testing" patented technology

The invention provides an intelligent automobile test case automatic generation and evaluation system, device and product, and relates to the technical field of intelligent automobile test.According to the system, domain knowledge support is provided through a test knowledge base, and a demand understanding module is combined with a fine-tuning large model to deeply analyze demands; function points are extracted, and hidden scenes such as sensor faults and multi-system cooperation are identified; the test case generation module is based on a special prompt template and few-sample learning, a complete case containing elements such as purposes, steps and data is generated by fusing a vehicle model configuration library, and the specialty and the performability are ensured; and the evaluation module realizes objective quality evaluation through multi-dimensional quantitative scoring of demand coverage rate, scene integrity, risk coverage degree, normalization and the like. All the modules cooperate to realize intelligent generation and system evaluation of test cases, and the automation level, coverage range and reliability of intelligent automobile testing are improved.

The invention provides a large-scale constellation network semi-physical simulation test system and method, the system comprises a constellation simulator, a satellite-borne router, ground detection equipment and a protocol conversion network bridge, a Mininet simulation platform is deployed, and dynamic topology adjustment, an OSPF dynamic routing protocol and a multi-scene test function are supported; a user can observe network topology change, route updating time and key performance indexes in real time. A semi-physical simulation architecture is realized through unified IP subnet interconnection and the same routing protocol, a space-time synchronization engine ensures that virtual and real node routing tables take effect at an appointed moment, and in combination with a protocol consistency sandbox, hidden faults caused by inconsistent behaviors of hardware and software protocol stacks are solved, and the service life of the virtual and real node routing tables is prolonged. A plurality of real nodes are accessed in a large-scale network environment, and end-to-end data transmission test, security policy verification and protocol compatibility analysis are carried out; the invention provides an efficient, flexible and reliable solution for the design, verification and optimization of the satellite network, and has a wide application prospect.

The invention relates to the technical field of software engineering and automatic testing, in particular to an E2E scene test optimization method and system based on target man-machine cooperation. According to the scheme, an optimization target is manually set, an initial test case and a business process are input, and a test resource library is constructed; the system automatically analyzes a service path, generates a use case dependency graph and a key path, and determines a core scene through manual verification; a candidate optimization strategy is generated by the system, and a target strategy is determined through manual screening according to resources and priorities; the system carries out simplification, merging and scheduling optimization on the use cases, and deploys and executes the use cases after manual sampling verification of coverage; the system collects execution data in real time and generates an evaluation report, and whether a use case is supplemented or a strategy is adjusted is determined after manual analysis; and finally updating the resource library and the strategy model, establishing a dynamic feedback mechanism, and triggering continuous optimization during system iteration. According to the method, the E2E test efficiency and the software delivery quality are remarkably improved through man-machine cooperation and closed-loop optimization.

The invention discloses an uninterruptible power supply full-scene test method based on multi-mode simulation, and aims to solve the problems of single test scene, deficiency of composite working conditions, poor collaboration and the like in the prior art. The method comprises the following steps: firstly, constructing a test scene model library containing a multi-mode power grid, a load and an environment simulation model; combining specifications of the UPS to be tested and a test target, selecting a model combination to generate a composite test scene, and defining a rule that parameters change along with time; then, a test platform containing a programmable simulator and a central control unit is built, and the UPS to be tested is connected; the central control unit drives the platform to carry out collaborative testing, and input, output and internal key parameters are collected in real time; and finally, quantitative indexes such as output voltage stabilization precision and THD are calculated to complete evaluation. According to the invention, multi-factor coupling scene simulation is realized, the test authenticity and precision are improved, the period is shortened, and support is provided for UPS research and development optimization and quality detection.

The invention discloses an automatic software testing method based on behavior-driven development, belongs to the technical field of software testing, and remarkably reduces repeated work of manual coding by automatically generating a test script. Based on a test scene described by a natural language, the system directly converts a structured test model into an executable test code by utilizing a predefined template library and a dynamic code generation technology. For example, key actions and parameters are extracted from a user story written by a Gherkin language through an analyzer and mapped to a code template of a framework such as Selenium or JUnit, and scripts do not need to be written manually line by line. The hierarchical design of the test model further simplifies the script generation process, supports batch processing of multi-scene test tasks, greatly shortens the test preparation period, improves the overall test efficiency, is compatible with various programming languages and test frameworks, and can adapt to project requirements of different technology stacks.

The invention discloses a test method and device for a doctor-patient dialogue model, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a to-be-tested model and a preset patient simulator, and providing a model and a tool for simulating a patient for the test; a simulation system is generated by combining the two to realize dialogue operation; scene test data, user portrait data and dynamic adjustment rules are obtained, multi-scene test and user features are defined, and the dynamic adjustment rules are stipulated to be close to reality; dialogues are simulated based on data and rules, multi-round dialogue data of multiple scenes and multiple user features are generated, and a basis is provided for evaluation; according to the method, the dialogue scoring rule is obtained, a standard is provided for quantitative evaluation of dialogue quality, multiple rounds of simulation dialogues are scored according to the rule, a test result of the to-be-tested doctor-patient dialogue model is obtained, and the technical problem that the dialogue quality of the doctor-patient dialogue model cannot be accurately evaluated is solved. The technical effect of improving the test evaluation accuracy of the doctor-patient dialogue model is achieved.

According to the multi-step test case generation method and system based on state-behavior map modeling, the filled Prompt template is used for guiding the large language model to recognize the key state and behavior, the large language model is used for recognizing the key state and behavior planned by the to-be-tested application instead of directly generating the test case, and the test efficiency is improved. The problems of randomness and illusion existing in direct generation of the test case by using a large language model are solved; through a mode of constructing a state-behavior map and traversing the state-behavior map, various complex scenes can be systematically covered, and the test coverage breadth and depth are far better than those of an existing test method based on recording and playback; the multi-step test case can be reliably generated by matching each step in one or more groups of test path sequences generated by traversal with the corresponding implementation template to generate the test case script file.

The invention relates to the technical field of intelligent network connection vehicles, and discloses an automatic V2X large-scale fusion scene test system based on an HIL rack, and the system comprises an upper computer, a real-time machine, a communication comprehensive test instrument, a satellite signal simulator, and a tested OBU. The upper computer is used for deploying nodes and realizing scene file downloading, analysis and 2D simulation test; and forwarding the V2X message output in real time to the communication comprehensive test instrument, and forwarding the GNSS signal to the satellite signal simulator. And running a V2X scene in real time, generating a V2X message, dynamically generating a virtual GNSS signal, and synchronously outputting the virtual GNSS signal to an upper computer. And the communication comprehensive test instrument receives the V2X message and sends a standardized signal to the OBU. And the satellite signal simulator generates a navigation constellation radio frequency signal according to the GNSS data and simulates a dynamic trajectory. And the detected OBU receives the V2X message and the GNSS signal, executes fusion positioning and scene perception, generates an early warning message and returns the early warning message to the upper computer. According to the invention, the test efficiency, coverage and repeatability can be improved, and support is provided for research, development and verification of the V2X technology.

The invention provides a service scene test case generation method. The method can be applied to the technical field of big data, the technical field of artificial intelligence and the application of large models in the field of financial science and technology. The method comprises the steps of obtaining a user demand document, performing semantic analysis on the user demand document, and generating a user intention prompt word; and judging whether the user intention prompt words comprise scene modification prompt words or not, and if the user intention prompt words comprise the scene modification prompt words, judging whether the scene modification prompt words comprise data increment prompt words, replacement prompt words and deletion prompt words or not. And if the scene modification prompt word comprises a data increment prompt word, a replacement prompt word and a deletion prompt word, performing data increment, data replacement and data deletion on the business scene based on the data increment prompt word through a pre-trained large language model, and generating a target business scene test case. The invention further provides a service scene test case generation device and equipment, a storage medium and a program product.

This invention discloses a hardware-in-the-loop automated testing method and system for inverters in smart grids, relating to the field of inverter-specific performance testing technology. The method includes: constructing a grid degradation evolution topology by calling a grid anomaly scenario library; extracting multiple evolution paths and injecting them into a grid simulator; driving inverter testing and collecting response timing records; outputting multi-dimensional defect scores through multi-dimensional defect quantification analysis; constructing a multi-modal quality heatmap; extracting indicator attributes and comparing them against preset safety thresholds; and generating a quality defect vector. This invention solves the technical problems of traditional inverter testing, such as single-scenario testing, static testing not reflecting reality, and one-sided defect evaluation. It achieves accurate quantification of multi-dimensional defects, making inverter test results more comprehensive and reliable, and meeting the technical requirements of smart grids for equipment quality assessment and control.

The application belongs to the technical field of software testing, and provides a vehicle electronic controller scene test method, a system, a storage medium and equipment, the method comprises the following steps: recording the message generated by the whole vehicle under a predetermined scene, and establishing a scene message library; writing and decomposing a scene test case; based on the scene message library, message reconstruction is carried out, and the reconstructed message is obtained; based on the reconstructed message, combined with external equipment, a timing logic is constructed, and scene testing is carried out. The vehicle electronic controller scene test method of the application records the message information of the real scene, and analyzes and normalizes the message information, so that the network signal is completely the same as the real scene, and the simulation of non-signal information is realized by combining with the peripheral equipment, and the high simulation of the scene is realized through effective timing control.

The invention discloses an acquisition terminal test case priority ranking method based on a fuzzy analytic hierarchy process, which comprises the following steps of: applying the fuzzy analytic hierarchy process to the field of acquisition terminal test, and quantizing fuzzy evaluation opinions of experts by triangular fuzzy through constructing a'target-criterion-scheme 'hierarchical structure; fusing a multi-expert judgment matrix by adopting a weighted geometric averaging method, and optimizing a criterion weight and performing defuzzification in combination with consistency check; and comprehensive priority scores of the test cases are calculated through weighted summation, a sorting sequence from high to low is generated, and meanwhile, dynamic adjustment during demand change is supported. According to the method, the fuzzy demand quantification accuracy can be improved by 60%, the expert dispute rate is reduced to 8% or below, the regression test error detection efficiency is improved by 40%, and the method adapts to the multi-scene test demand of the acquisition terminal.

This application discloses a method, apparatus, device, and medium for determining simulation scenarios, relating to the field of autonomous driving technology. The method for determining simulation scenarios includes: acquiring at least one initial scenario corresponding to a target vehicle; performing scenario testing on each initial scenario to obtain test boundary indicators for each initial scenario; using the test boundary indicators as fitness, employing genetic operators of a genetic algorithm to select, crossover, and / or mutate the scenario parameters of the initial scenarios to obtain at least one optimized scenario; updating the initial scenarios to optimized scenarios, and returning to perform scenario testing on each initial scenario to obtain test boundary indicators for each initial scenario, until a preset stopping condition is reached to obtain at least one candidate scenario; and identifying candidate scenarios with fitness greater than a preset threshold as target simulation scenarios that meet performance boundary testing requirements.

This utility model provides a modular, multi-scenario testing device for an insulating rope ladder. The device includes a base with a cover plate that closes to form a storage cavity. Two sets of support cylinders are mounted on either side of the base, installed upside down, with support feet attached to their shaft ends. Two sets of tripods are mounted on the cover plate, with a rotating shaft connecting them. Modular components are mounted on the rotating shaft, each including a mounting block. Two mounting plates are mounted on the rotating shaft, with the mounting block positioned between the mounting plates. Two sets of slide rails are also provided on the cover plate, with support components mounted on them. This device allows for flexible height adjustment via the support components to adapt to different scenarios. The modular components enable rapid assembly, improving test preparation efficiency and reducing preparation time.

The invention discloses a multi-mode network testing method for AI application east-west flow, and relates to the technical field of network testing, and the method comprises the steps: S1, constructing a testing environment; a non-blocking fat tree architecture is adopted, a high-performance switch and a GPU server are configured, and the high-performance switch and the GPU server are used for processing large-scale data transmission and calculation tasks and simulating a real AI cluster environment; s3, performing a performance isolation test; and S4, testing a congestion scene. According to the AI application east-west flow-oriented multi-modal network test method, a set of complete multi-modal network test system is provided, and the test scene and method of each sub-test are given, so that the problems of quality evaluation such as dynamic routing and congestion control of the AI application east-west flow-oriented multi-modal network are solved, and the test efficiency is improved. The multi-modal network can be evaluated in an omnibearing and multi-angle manner, and the performance of the multi-modal network in an AI application scene can be evaluated comprehensively and accurately.

This application belongs to the field of intelligent driving and relates to a method and related equipment for generating extreme test cases for automatic parking in parking lots. It solves the technical problems in the existing technology of generating extreme test cases for automatic parking in parking lots, such as parameter combination explosion leading to waste of computing resources and low efficiency, insufficient accuracy of risk quantification making it difficult to guarantee the extremeness of test cases, lack of reasonable timing logic leading to low reference value of test results, and unclear screening criteria making it impossible to accurately obtain key test cases. It can efficiently generate test cases that are extreme, have reasonable timing, and can effectively trigger the system's extreme response, thereby improving the effectiveness and safety verification level of extreme scenario testing of automatic parking systems.

The invention provides a test system and method for inter-system data file transmission, the test system for inter-system data file transmission comprises a test item configuration module, a test plan configuration module and a test execution module, the test item configuration module is used for creating a test item corresponding to each system, and the test plan configuration module is used for configuring the test item corresponding to each system; the test items are isolated from one another; wherein when a test item is created, test environment information is input; the test plan configuration module is used for creating a test plan in a test project and configuring a test scene and a test case corresponding to the test plan; wherein the test scene comprises a data unloading and / or data fetching scene; and the test execution module is used for calling a test case corresponding to the test plan based on the test environment information to carry out unloading and / or access scene test. According to the testing system and method for data file transmission between the systems, the testing efficiency is improved.

The invention discloses a scene testing method and device based on fault injection and electronic equipment. The method comprises the steps that a first safety boundary scene and a second safety boundary scene are acquired; generating a to-be-injected fault, an agent model and an acquisition function, and initializing a fault space; inputting the first security boundary scene and the to-be-injected faults into the agent model, and determining a first key fault in the to-be-injected faults based on the acquisition function; training a dual-channel classifier based on the first safety boundary scene and the first key fault to obtain a trained dual-channel classifier; and performing key fault prediction on the second safety boundary scene and the fault space based on the trained dual-channel classifier to obtain a prediction result. The first key fault is screened out through the proxy model and the acquisition function, the first safety boundary scene and the first key fault are taken as samples, the dual-channel classifier is trained, the second key fault of the second safety boundary scene is quickly predicted, the key fault of the new scene is efficiently identified, and the efficiency is effectively improved.

The embodiments of the present invention provide a business scenario comparison method, device, terminal and storage medium; experimental test data obtained based on the business operations of experimental group users in experimental business scenarios and control test data obtained based on the business operations of control group users in control business scenarios can be obtained, and based on the experimental test data, the experimental test indicators of the experimental group users are determined, and based on the control test data, the control test indicators of the control group users are determined. If the deviation between the experimental test indicator and the control test indicator meets the preset deviation condition, the discrete degree information of the difference between the control test indicator and the experimental test indicator is determined, and the relative conversion effect information of the business resources is determined based on the discrete degree information and the difference between the experimental test indicator and the control test indicator. In this way, the influence of different business resource delivery situations in different business scenarios can be avoided, the accuracy of business scenario comparison can be improved, and the correctness of business scenario test results can be guaranteed.

The invention is suitable for the technical field of vehicle-road cooperation, and provides a vehicle-road cooperation scene test method, and the method comprises the steps: determining a target vehicle which can participate in a cooperation test from a test vehicle according to the state information of the test vehicle; wherein the test method comprises a preset test and a cooperative test, the preset test is a test which is preset by a test vehicle and needs to participate in, and the cooperative test is other tests except the preset test in which the target vehicle participates in; obtaining test scheduling information according to the demand of the cooperative test and the state information of the target vehicle; and outputting the test scheduling information, wherein the test scheduling information is used for enabling the target vehicle to participate in the cooperative test. According to the vehicle-road cooperation scene test method provided by the invention, the test efficiency of the vehicle-road cooperation scene test can be remarkably improved by multiplexing the test data. According to the method, the tested vehicle does not need to be manually arranged to cooperate with the scene, the test efficiency is effectively improved, and the test cost is reduced.

This invention discloses a method for rapidly generating digital scenarios for data-real fusion testing, belonging to the field of digital testing and verification of high-end equipment. The method includes setting overall testing objectives, the functions and performance indicators of the object to be tested; preparing various basic unit scenario data required for realizing digital test scenarios in data-real fusion testing based on the testing objectives and the characteristics of the object to be tested, combined with the object testing process; when the data is insufficient to meet the requirements for generating high-precision scenario models, data augmentation operations are required; using datasets and two-dimensional diffusion models, a unit scenario generation model based on deep learning is constructed; based on the generated unit scenarios, a multi-element database of test scenarios and a set of test rule constraints are constructed; a comprehensive scenario test model is rapidly generated using deep reinforcement learning, and the complexity and coverage of the generated comprehensive test scenarios are evaluated and verified to meet the requirements of the overall testing objectives.

This disclosure provides a method, apparatus, device, storage medium, and program product for predicting the performance of an application, relating to the application of artificial intelligence technology in the vehicle field. The method includes: acquiring historical driving data of a historical version of a target application that has been enabled; constructing a scenario test set based on the historical driving data; using the target application for active safety functions of the vehicle; running the test version of the target application in a simulation environment based on the scenario test set to obtain test results; and inputting the test results into a preset performance prediction model to determine the performance prediction indicators of the test version under actual operating conditions. This method can acquire historical driving data to construct a scenario test set, test the test version in a simulation environment based on the scenario test set, and then input the test results into a preset performance prediction model, thereby efficiently and accurately predicting the performance of the test version in actual road environments, providing reliable data support for version optimization and deployment decisions.

A testing method and apparatus of a driving control system, a medium, and a device. According to the method, a state transition diagram is input, and then the test coverage of each state transition in the state transition diagram is gradually implemented on the basis of the state transition diagram and by loop iterative variation of a scenario sample. When the loop iterative variation is performed, a simulation output of the scenario sample is used as a reference, so that the iteration process can quickly converge to the corresponding state transition to achieve the goal of coverage testing. The testing method and apparatus can intuitively test the processing capability and level of the driving control system for a driving environment, and exhibits high test efficiency.

This invention discloses a device testing method, apparatus, electronic device, and storage medium. The invention can acquire device status information; retrieve puncture simulation scenarios from a puncture library based on the device status information; simulate punctures according to the puncture simulation scenarios to perform puncture scenario testing on the device; and inspect the device that has completed the puncture scenario testing to obtain the test results of the device's online capability. This invention automates device testing, accurately completing various puncture scenario simulation tests. While ensuring sufficiently large and refined test coverage, it improves testing efficiency. Furthermore, when device failure occurs later, the device testing method of this invention can locate the corresponding fault point based on the corresponding puncture simulation scenario. This invention not only achieves automated testing, reducing labor costs, but also improves testing efficiency and reduces repair costs after device failure.

The application discloses a server firmware test method and electronic equipment, and relates to the technical field of server firmware automatic test.The application determines a risk score based on a double-driving model of code semantics and historical data, can accurately locate a high-frequency risk module, and generates a targeted edge scene test case, thereby improving edge scene coverage, effectively solving the problem that manual design of a test case is difficult to cover an implicit logic vulnerability, and determining the execution order of the test case, preferentially executing the test case of the high-frequency risk module, and filtering inefficient test cases, thereby improving test efficiency.

A computer-implemented method for testing a risk model trained to output a risk determination for open banking transactions that includes: unit testing the risk model implemented in an application programming interface (API) platform; performing manual and automated feature validation of the risk model by comparing feature outputs from the risk model to expected feature output values; performing functional validation of the risk model according to an accuracy metric; benchmark testing the risk model, implemented in the API platform, using simulated scenario test data sets; load testing the risk model; after performing the foregoing, deploying the risk model as a production risk model with a web portal in a production environment; and dog-food testing the production risk model using a plurality of simulated scenario test data sets configured to simulate real production usage.

This invention discloses a method and system for mining processor side-channel attacks based on a performance monitoring unit. The performance monitoring unit records processor behavior at a fine-grained level, uncovering more processor details. It is found that the performance monitoring unit can not only record the impact of normally submitted instructions on the processor using events, but also, for some events, the impact of transient instructions on the processor's microarchitecture behavior, thus expanding the applicability of the performance monitoring unit. Furthermore, methods for mining cache side-channel attacks and transient side-channel attacks are proposed. These two methods treat the processor as a black box, automatically completing the processes of generating test cases, scenario testing, and data analysis, achieving the effect of automatically mining processor side-channel attacks.

The invention relates to the technical field of communication, in particular to a train control service simulation test method and device based on a 5G-R network. Acquiring a plurality of driving scenes in the driving process of the train, and collecting driving feature data under the plurality of driving scenes; performing change coefficient analysis on the plurality of driving scenes to obtain a plurality of scene change coefficients, and configuring a plurality of scene test times in combination with the occurrence frequencies of the plurality of driving scenes; based on the 5G-R network, train communication control service simulation tests in the multiple driving scenes are carried out, multiple test result sets are obtained, and verification is carried out to obtain multiple control coefficient sets; and performing change verification processing on the plurality of control coefficient sets according to a plurality of scene change coefficients in the plurality of driving feature data to obtain a plurality of test confidence coefficients, and performing processing to obtain a communication control score as a test result. And the efficient and accurate test of the train control service under the 5G-R network is realized.

The embodiment of the invention discloses an automatic testing method and device, electronic equipment and a computer readable storage medium. The method comprises the steps that a first interface of a to-be-tested graphical user interface is acquired; obtaining a test case corresponding to the graphical user interface to be tested; the test case comprises a scene before execution, a test action and a scene after execution; inputting the first interface and the scene before execution into an observer model, and judging whether the first interface is matched with the scene before execution; when the first interface is matched with the scene before execution, executing the test action on the to-be-tested graphical user interface through an executor model to obtain a second interface of the tested graphical user interface; and inputting the second interface and the executed scene into the observer model to obtain a test result. According to the scheme, the graphical user interface can be fully automatically tested.

The invention relates to the technical field of software testing, and discloses a method and a system for testing compatibility of application self-protection during Java operation. The method comprises the following steps: based on an API (Application Program Interface) of a virtualization management platform ESXI, creating an initial system snapshot for each to-be-tested Linux operating system; a limit test strategy matched with the current operating system to be tested and a corresponding limit environment construction script are pulled from the test management Server; calling an API (Application Program Interface) of the ESXI, and restoring the current test environment to an initial system snapshot state; executing limit scene construction according to the pulled limit environment construction script; based on the limit test strategy and the limit scene, executing the application self-protection test case during Java operation; and determining that all target limit scene tests under the current operating system are completed, switching to the next to-be-tested Linux operating system, and starting execution from calling the API of the ESXI until the tests are completed.