81 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.

An embodiment of the present invention provides a chip reset verification method, device and equipment supporting multiple spatial domains. The method includes: in a verification platform, encapsulating an independent and reusable general verification component for a reset signal; during simulation, driving the reset signal to the reset signal input port of a design under test in the reset_phase stage to reset the design under test, and monitoring the state of the reset signal by using a verification component related to the reset signal; jumping back to the reset_phase stage when the simulation is about to end; using a factory overloading mechanism to overload and replace the verification platform, so that after jumping back to the reset_phase, restarting the execution of a random test sequence; obtaining the actual response of the design under test to the random test sequence, and comparing the actual response with a predicted response to verify the reset function of the design under test. The present invention solves the problem of reset scenario testing for multiple clocks and their corresponding reset spatial domains that may exist in a DUT.

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 present invention discloses a testing method for reconstructing a tiff format file using real-scene three-dimensional software, comprising the following steps: S1: obtaining an aerial image submitted to the real-scene modeling software, obtaining the geographic information of an XML file in an aerial triangulation result file, and obtaining a reconstructed tiff format file; S2: comparing data similarity to determine if they are consistent; S3: checking for the presence of black blocks; and S4: outputting the test results. The present invention compares data similarity to determine if they are consistent, then checks for the presence of black blocks, and then outputs the test results, eliminating the need for manual comparison with the original data. This effectively reduces the production cycle, improves execution speed, and comprehensively tests scenarios, avoiding the influence of human factors such as misinterpretation of results, thereby effectively improving test efficiency. After manually reviewing the test results, the tiff format file that failed the test can be refined and modified, and retested until the test is finally passed, so that the tiff format file is substantially consistent with the real scene and meets application requirements.

The present disclosure provides a method, a system, a device, and a storage medium for post-silicon testing. The method includes: obtaining random configuration information according to a chip to be tested; obtaining a test instruction stream according to the random configuration information; obtaining instruction-level random test cases according to the test instruction stream; and running the instruction-level random test cases on the chip to verify the chip. The post-silicon testing method of the present disclosure can hit as many scenarios as possible through large-scale regression testing even in the post-silicon stage by generating and running instruction-level random test cases, so that more scenarios can be tested, the testing is more complete, the testing cost is lower, and defects of the chip can be found before the chip is launched into the market.

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 discloses a software testing technology platform based on big data interconnection, and belongs to the technical field of software testing, the software testing technology platform comprises an acquisition terminal, an operation terminal, an AI central control box and a testing terminal device, the acquisition terminal, the operation terminal, the AI central control box and the testing terminal device are in control connection through electric signals, the software testing comprises the following steps: S1, inputting a to-be-tested software module product; s2, a test module is adjusted, and multi-source data acquisition and interconnection are carried out; s3, test feature extraction and test case generation; s4, testing execution and monitoring (single item and mixing); and S5, generating a test result and analyzing the test result. Manual intervention is reduced through an automatic test and self-optimization strategy, edge scenes which are difficult to reach by a traditional method are covered through a data-driven test strategy, the test case generation time is reduced by more than 50%, and the defect detection rate is improved by 30%, so that the path coverage rate is improved while the efficiency is improved.

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.

The present invention provides a method for testing an intelligent connected vehicle in an electromagnetic compatibility chamber. The method comprises applying an electromagnetic interference signal in a predetermined test environment and configuring a corresponding scenario test for the intelligent connected vehicle. The scenario test includes at least one functional test, generating single scenario tests and / or combined scenario tests. A central monitoring and processing platform transmits a data signal corresponding to the scenario test to the intelligent connected vehicle. The intelligent connected vehicle receives the data signal and adjusts corresponding vehicle driving parameters to match the scenario test. The intelligent connected vehicle transmits the vehicle driving parameters to the central monitoring and processing platform, and the central monitoring and processing platform obtains test results based on the vehicle driving parameters and relevant data from the scenario test. The present invention also exemplarily discloses an apparatus for testing an intelligent connected vehicle in an electromagnetic compatibility chamber and an electronic device employing the method.

The present application relates to a testing method, apparatus, computer device, and storage medium. The method includes: obtaining a node path graph constructed according to a state machine diagram; the node path graph includes normal service state nodes, abnormal service state nodes, and edge attributes between the nodes; the edge attributes include normal service flow operations and abnormal operation components; obtaining call path information between state nodes according to the edge attributes between the state nodes in the node path graph; generating automated test cases according to the call path information and executing the automated test cases. Since the node path graph includes normal service process operations and abnormal operation components, the automated test cases can cover both business scenario testing and abnormal scenario testing, making the testing more comprehensive.

A system and method for providing access to third-party application programming interfaces (APIs) as a service. In particular, an API access manager can be configured to execute one or more serverless functions selected form a database of serverless functions in order to obtain data from one or more third-party APIs. Execution of different versions of the serverless functions (e.g., original and refactored) can be compared to determine whether the versions are equivalent and deterministic.

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.