198 results about "Test requirements" patented technology

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

The invention discloses an automatic driving test and evaluation method and device based on a large language model, and solves the problems that the pertinence of a test scene is insufficient, the result understanding depends on manpower, the evaluation interpretation is weak and the like in a traditional method. By means of semantic analysis, logical reasoning and domain knowledge support of a large language model and in combination with an automatic driving test domain knowledge graph, generation of a structured test portrait of a tested system, construction of a test demand list, generation of a semantic test scene description file, interpretable test result attribution, multi-dimensional comprehensive evaluation and report output are completed in sequence. And a test portrait is updated through report feedback to form a closed loop. The method is suitable for function verification and performance evaluation of an automatic driving simulation test, can also be used for post-processing analysis of real vehicle test data, realizes automation of a whole test process and interpretability of an evaluation result, and improves test precision and efficiency.

The invention provides an AI-driven automatic test system and intelligent optimization method based on VISA and SCPI. The method comprises the steps that a natural language test requirement input by a user is acquired, the requirement is analyzed, and a test script conforming to the SCPI specification is generated; issuing the test script to the test instrument cluster through the virtual instrument software architecture interface, executing the test script, and collecting test data in real time; performing multi-modal fusion analysis on the basis of the collected test data to detect anomalies in the test process, and dynamically adjusting test parameters or test scripts according to an anomaly diagnosis result; performing cooperative task scheduling optimization on a plurality of instruments in the test instrument cluster based on the adjustment result; according to the method, a large language model is combined with an SCPI command knowledge graph to realize automatic conversion from a natural language to a test script, and test parameters and multi-instrument scheduling are dynamically optimized in combination with reinforcement learning, and the test efficiency and precision are remarkably improved through real-time anomaly detection and root cause positioning.

The embodiment of the invention provides a test environment deployment method and device, a medium and a program product, and relates to the technical field of hardware-in-loop testing. The method comprises the following steps: acquiring a test requirement and a template library, wherein the template library comprises an environment configuration template and a parameter rule; generating environment configuration based on the test requirement and the template library, wherein the environment configuration comprises an operating system version, a network parameter and a resource allocation parameter; and deploying a test environment according to the environment configuration, wherein the test environment is used for hardware-in-the-loop test. Based on the method, the test environment deployment process can realize high automation, the probability of errors caused by manual operation is reduced, and the deployment reliability is improved. And the test requirements can be dynamically adapted, the environment consistency and the resource utilization rate are improved, rapid generation and parameter optimization of the test environment are realized, the deployment time consumption is reduced, and the test environment deployment efficiency and the overall test efficiency are improved.

The invention provides an automatic external connection regression testing method and device, equipment and a storage medium, and belongs to the field of computer software tests.The method comprises the steps that historical external data are extracted from an external connection database in batches based on an external connection regression testing request input by a client interaction page; converting the historical external data into basic test data according to a preset rule based on test demand information input by the client interaction page; updating the basic test data into test sample data matched with the current interface of the external connection component; calling a logic code of the external connection component based on the JSP, analyzing the test sample data and forwarding the test sample data to the service component; and comparing a business result generated by the service component with an expected result, and generating a test report. Through the method provided by the invention, the limitation of a traditional scheme can be overcome, and the efficiency and quality of external connection regression testing are improved in an automatic testing mode.

The invention relates to the technical field of computers, and discloses a test case generation method and device, equipment and a medium, and the method comprises the steps: receiving a software test demand through a demand analysis agent, extracting a test point of the software test demand, and constructing a target knowledge graph according to the test point; generating an initial test case based on the test target knowledge graph through the case generation agent; executing the initial test case through the execution verification agent to obtain a test result; the test result comprises validity judgment and judgment basis of the initial test case; and in response to the test result, judging that the initial test case is an invalid test case, optimizing strategy parameters of each agent in the agent system based on the judgment basis through the evolutionary learning agent, and generating a new test case. The application can respond to the change of the test demand in real time, automatically adjust the test strategy, and improve the test quality and efficiency.

The application discloses a method and system for unmanned aerial vehicle metrological test requirement analysis facing multi-parameter coupling, relates to the technical field of metrological test, and comprises the following steps: acquiring real environment interference parameters when a logistics unmanned aerial vehicle executes a delivery task; constructing a multi-environment coupling simulation test platform to simulate a real flight environment; controlling the logistics unmanned aerial vehicle to execute a predetermined flight action, collecting dynamic change data of key performance parameters of the logistics unmanned aerial vehicle; analyzing a coupling relationship between the real environment interference parameters and the key performance parameters, and establishing a parameter coupling model; and performing test items, test conditions and test indexes in the real flight environment to generate a metrological test requirement analysis report. The application solves the technical problem that, in the prior art, the dynamic change law of key performance parameters under the coupling action of multi-environment parameters cannot be explored, and as a result, the flight safety and performance reliability of an unmanned aerial vehicle in a real environment cannot be guaranteed.

This application provides a testing method and apparatus for an autonomous driving cloud simulation platform. The method includes: acquiring multi-source data from the autonomous driving cloud simulation platform; classifying and structurally extracting the multi-source data to obtain corresponding knowledge fragments and storing them in a knowledge source database; vectorizing the knowledge fragments according to their types using different language models to obtain document vector sets, code vector sets, and scene parameter vector sets; receiving test requirements described in natural language and quantizing them; performing vector retrieval in the document vector set and scene parameter vector set using a retrieval enhancement generation algorithm; inputting the retrieval results into an artificial intelligence model to understand the test scenario requirements; obtaining test case logic output by the model; retrieving test code templates from the code vector set based on the test case logic; and injecting input parameters into the test code templates to obtain test code for testing. This application can improve the efficiency and accuracy of testing autonomous driving cloud simulation platforms.

The invention provides an embedded software automatic testing method and system based on a model, and relates to the technical field of embedded software testing. The method comprises the steps of obtaining a software demand design project, obtaining a software interface design project, constructing a software test model, automatically decomposing the test model, automatically generating test data, automatically generating a test script, automatically performing test execution and automatically generating a test document. The system comprises a software requirement design engineering analysis module, a software interface design engineering analysis module, a software test model generation module, a test model automatic decomposition module, a test data automatic generation module, a test script automatic generation module, a test execution module and a test document generation module. According to the method, demand design, interface design and a software test platform are integrated together, resources are shared, integrated management of software design and software test is achieved, and the efficiency and quality of software test demand analysis are improved.

This invention discloses a software testing requirements analysis method based on knowledge graphs, comprising the following steps: Step 1: Collecting requirements-side and verification-side data to form a test requirements analysis corpus; Step 2: Extracting semantic objects of requirements, behaviors, and assertions; Step 3: Constructing a three-domain test knowledge graph; Step 4: Generating a test assertion tension field; Step 5: Inputting the test assertion tension field into an improved Hypergraph Transformer model to obtain a test requirement tension propagation feature map; Step 6: Generating a test requirement gap map; Step 7: Obtaining the test requirement decomposition results; Step 8: Updating the three-domain test knowledge graph and the test assertion tension field based on test execution feedback. This invention employs an assertion gap tension resonance mechanism and an improved Hypergraph Transformer model to improve the accuracy of software testing requirement gap identification and decomposition.

The invention relates to a dynamic testing method and system for embedded equipment, belongs to the technical field of software testing, and solves the problems of mismatching of testing requirements and hardware resources and low concurrency efficiency in the prior art. The method comprises the steps of obtaining a CI / CD variable and a to-be-tested source code, and determining a test task type; determining a target test case set according to the test task type and the to-be-tested source code; according to the case type, dividing the target test case set into test case subsets, and determining a subset type; starting a corresponding container for the test case subset; generating a test task list according to all the test case subsets and the hardware resource state table by utilizing a hardware resource allocation service of the container; based on the test task list, the container starts a thread for the corresponding hardware equipment, the hardware equipment is controlled to execute a test, and a test result is output. According to the method and the device, the test cases and hardware resources with adaptive performance are automatically, efficiently and dynamically selected based on the source code change condition.

The embodiment of the invention provides a document generation method and device. According to the method, the test item can be hierarchically split through mind map node arrangement provided by the editing window, so that a tester can more clearly control the test coverage range, the risk of case omission is reduced, and the document generation precision is improved. Based on the document template and the target mind map, a test design document and a test case document are generated, and a demand tracking table is generated in the test design document. Due to the fact that the test design document and the test case document are from the same target mind map, the problem of information splitting of traditional scattered documents is avoided in the mode, the test design, the test requirements and the test cases have strong relation, and efficient tracking is facilitated.

The application discloses an elevator full-data simulation test system, and relates to the technical field of elevator testing.The scheme comprises a multi-source data acquisition module, a digital twin modeling module, a full-scene simulation test module, a data processing and analysis module, a closed-loop optimization module and a terminal interaction module.The application realizes full-cycle multi-dimensional data coverage of the elevator, integrates mechanical, electrical, environmental, personnel and fault data, improves the completeness of test data, constructs a full-dimensional model based on digital twin technology, realizes multi-element coupling simulation, simulates various working conditions, fits actual operating conditions, iterates the simulation model, outputs optimization schemes, improves test efficiency and optimization effect, supports custom parameters, meets the test requirements of various types of elevators, does not require a physical test platform, greatly reduces test costs and shortens the test cycle, and avoids safety risks in physical tests.

The embodiment of the invention provides a test data generation method and a related device. The method comprises the following steps: determining test demand information; inputting the test demand information into an intelligent agent, so that the intelligent agent generates production flow information corresponding to the test demand information according to a knowledge base; wherein the knowledge base comprises description information of a plurality of components in a preset component library, the components are used for obtaining at least one type of test data in a business scene corresponding to the test demand information, and the production process information comprises at least one step of generating the test data corresponding to the test demand information; and calling at least part of components in the component library according to the production process information, and generating test data corresponding to the test demand information. Through the method provided by the embodiment of the invention, the efficiency of generating the test data can be improved.

The invention relates to the technical field of software testing and artificial intelligence, in particular to an intelligent test case generation method and system based on a dynamic knowledge graph, and the method comprises the steps: collecting multi-source data, and constructing an initial graph; capturing modification information corresponding to system version iteration, and triggering incremental expansion of the initial atlas based on the modification information to obtain a dynamically evolved real-time atlas; obtaining a test requirement, discovering a full-chain path in the real-time map through map traversal, analyzing a coverage gap and a node risk in the full-chain path, and screening an optimal path combination based on reinforcement learning; generating a test case according to the optimal path combination and the corresponding parameter information; and obtaining a use case execution result to extract an execution index, performing defect association based on the execution index, and performing path-based defect generation algorithm optimization to adjust a graph traversal weight so as to realize closed-loop optimization. The method has the effect of efficiently coping with the dynamic change of the complex system.

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.

The application provides a kind of interface service state analysis system and method based on distributed testing and monitoring, it is related to computer system monitoring technical field.The system integrates test script generation module, improved Jmeter server, index data transfer module, Prometheus server, intelligent analysis module and alarm module, realizes the whole process management of computer system interface service from detection, storage, display, alarm to analysis.Improve Jmeter test tool, make it compatible with Prometheus collection mode, meet different test requirements and multi-concurrent scene;Intelligent analysis module is used to build service dependency, realize intelligent analysis and positioning of fault, solve the problem that service fault is difficult to be actively found and quickly positioned in existing operation and maintenance system, improve the operation and maintenance efficiency of information system.

The invention relates to a test case generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that under the condition that a test case generation request is received, a test requirement document is acquired; performing multi-modal document analysis processing, extracting required text information, and performing entity relationship extraction processing to obtain an entity relationship directed graph; and finally, executing demand feature extraction processing to obtain demand features, and constructing a test case matrix to call the test case generation large model to execute test case generation processing to obtain a target test case. According to the method, the multi-modal information of the multi-modal document is extracted through excessive modal analysis processing, so that the demand text information is constructed, and the cross-modal test logic is established. The entity relationship directed graph and the test case matrix are constructed, and the large model is called to generate the required target test case, so that the quality of the test case can be effectively improved, and the test accuracy is ensured.

This application discloses a device testing method, a collaborative testing system, and a readable storage medium, relating to the field of device testing technology. The method is applied to a collaborative testing system, which includes a terminal device layer, an edge computing layer, and a cloud management layer. The system comprises: the cloud management layer receiving test requirements input by a user, generating a test task list based on the test requirements, and distributing the test task list to the terminal device layer and the edge computing layer; the terminal device layer collecting test data according to the test task list and transmitting the test data to the edge computing layer; the edge computing layer executing test tasks according to the test task list and the received test data, obtaining test results, and uploading the test results to the cloud management layer; and the cloud management layer analyzing the test results and generating a test report. This application improves the real-time performance of device testing.

The invention provides a performance testing method, device and equipment of an air conditioning system, a medium and a product, and relates to the field of air conditioning system testing. Comprising the steps of obtaining test demand information of a to-be-tested air-conditioning system; generating an automatic test file according to the test demand information; analyzing the automatic test file to obtain at least one test task type; determining a corresponding test unit according to the test task type; issuing a test instruction to a test unit to enable the test unit to execute a corresponding test task to obtain test data; and determining a test result according to the test data uploaded by the test unit. The technical problem that the performance testing efficiency of the air conditioning system is low due to the fact that manual testing is mainly relied on in the prior art, the testing efficiency is low, the data error rate is high, and historical data tracing is difficult is solved.

The invention provides a network protocol fuzz test case generation method and device based on a large language model, and relates to the technical field of network security and software test.The method comprises the steps that a multi-source data corpus is constructed, customized training is conducted on a pre-trained LLM model according to the multi-source data corpus, and the LLM model is obtained; obtaining a customized LLM model adapted to a network protocol test requirement; collecting a test requirement of a target network protocol, analyzing a protocol context by using the customized LLM model, generating test scenes, and generating a network protocol message sequence for each test scene as an original test case; and performing coverage rate analysis on the original test case, guiding the customized LLM model to generate a supplementary test case according to a coverage rate index, and screening the original test case and the supplementary test case to generate a test case set.

The invention provides a comprehensive testing method and device for an agricultural machine microcontroller and a storage medium, and relates to the technical field of microcontroller testing. The method comprises the steps of firstly building a bidirectional data transmission link with a microcontroller to be tested, then converting a user test demand into a corresponding test instruction, issuing the test instruction, collecting original test data after a test is executed, carrying out standardization processing on the original data, evaluating a test state, if a result is abnormal, creating a correction response flow according to an abnormal type, and if the result is abnormal, completing the test. Re-establishing a link or evaluating to obtain a new result; according to the invention, automation and integration of the whole testing process are realized through a closed-loop process, a splitting link is not needed, manual equipment switching is not needed, comprehensive testing is completed in a one-stop manner, operation is greatly simplified, and efficiency is improved; the abnormality correction mechanism can optimize the process automatically, avoids test interruption, guarantees test continuity and reliability, and provides an efficient and stable solution for factory detection and regular maintenance of the agricultural machine microcontroller.

The application relates to the technical field of software test automation, and provides a requirement-driven test case automatic generation method and system based on a semantic test graph, which comprises the following steps: performing multidimensional static analysis on source code, respectively constructing an abstract syntax tree, a control flow graph and a function call graph, and extracting function call relations and data flow dependency relations; constructing a semantic test graph by taking functions as nodes, taking function call relations as main edges and taking data flow dependency relations as auxiliary edges, and aggregating function nodes in the semantic test graph into several function modules; obtaining several test requirement nodes, calculating semantic similarity between the test requirement nodes and the function modules, establishing a mapping relationship from the test requirement nodes to the function modules, and forming a requirement-program structure association graph; and based on the requirement-program structure association graph, generating a test intention for each test requirement node, and converting the test intention into an executable test case. The highly corresponding relationship between the generated test case and the business requirement is ensured.

The invention provides a full-link automatic collection method for test requirements, cases and scripts in an HIL test, and the method specifically comprises the following steps: (1) extracting the test requirements and the test cases from a structured test requirement and test case text, and matching corresponding test scripts from vTESTstudio; and (2) establishing a mapping relationship among the test requirements, the test cases and the test scripts, and completing automatic collection of the test requirements, the test cases and the script data. By quickly and efficiently extracting test requirements and test cases of PDF test documents and Excel test files, automatically analyzing vTESTstudio script data and automatically establishing accurate association among the PDF test documents, the Excel test files and the vTESTstudio script data, test asset management efficiency is remarkably improved, a traceable and reusable structured test asset library is finally constructed, and meanwhile high-quality structured data is provided for AI training.

An end-of-line test method and system are disclosed. The test system includes an upper-level computer, a test device, and a test requirement structured system. The upper-level computer in the test system obtains an initial test formula from the test requirement structured system in response to a test formula download instruction, where the test requirement structured system is configured to generate the initial test formula based on a test item requirement, and the initial test formula includes related information of the test item requirement. Then, the upper-level computer converts the initial test formula into a target test formula in an extensible markup language format. Finally, the upper-level computer controls, based on the target test formula, the test device to test a product to obtain a test result.

This application discloses a mobile terminal automated testing method and apparatus, relating to the field of automated testing. It retrieves test knowledge related to test requirements from a pre-built knowledge base. Based on the test requirements and test knowledge, it generates automated test scripts executable at the mobile terminal automation driver layer using a large language model. The automated test scripts are then run to execute the tests. If a test fails, a patch script is generated based on the failure evidence package collected during script execution. This patch script is then used as a temporary script to re-execute the test until the test termination condition is met. If the test passes when the termination condition is met, the passed patch script is compared with the automated test script, and the comparison result is submitted for manual review. If the review is successful, the passed patch script is updated in the knowledge base. This application achieves intelligent script generation and automatic patch repair while ensuring script standardization and executability.

The application provides a transmission high-low temperature cycle endurance test method and system, which comprises the following steps: collecting basic parameters, key parameters and implicit parameters of the transmission at a physical layer through a dual-mode sensing unit, mapping a physical test state through a digital twin model at a virtual layer to generate a virtual sensing feature set, and corresponding integration into a dual-mode sensing feature tensor; calculating a dynamic adaptation degree between a test requirement feature matrix and the dual-mode sensing feature tensor in real time through a preset multi-field coupling feature discriminator, generating a three-dimensional composite feature map based on the dynamic adaptation degree; constructing a virtual-real linkage adaptive test framework according to the three-dimensional composite feature map; extracting target data from the dual-mode sensing data and the test requirement document and filling it into the corresponding analysis sub-column, synchronously passing through the coupling correlation path in the three-dimensional composite feature map to complete the corresponding endurance test. The application can comprehensively and accurately complete the endurance test, and the test efficiency is improved.

The invention discloses a train automatic driving heuristic test case generation method for an intelligent high-speed railway, and the method comprises the steps: firstly analyzing an ATO system driving mode conversion process, extracting fault features of related equipment, and constructing a test input parameter table; then, according to a parameter coverage requirement, determining the dimensionality of a variable force coverage table, and obtaining a small-scale test case set; then, the genetic algorithm is used for controlling evolution and variation of the test case, and expansion of the vertical dimension is achieved; generating a local optimal solution of the test case in combination with a greedy strategy to realize expansion of a horizontal dimension; and finally, after the vertical dimension and the horizontal dimension both meet the coverage requirements, generating a final initial test case set. According to the method, the generation number of invalid or repeated test cases is reduced, and combinatorial explosion is avoided; through test verification, the method has good function test requirement coverage rate and fault detection capability, and provides important reference for verification of function safety, reliability and integrity of the ATO system.

The application discloses a regression test case set selection method based on requirement association, comprising: association relationship basic library construction: requirement association matrix is constructed for a plurality of test requirements, and test item-requirement association matrix is constructed, mapping relationship of test case to test item is constructed, priority order of test case is set, and test defect-test case association matrix is constructed; regression test case selection model construction: test defect is associated with test case, test case is associated with test item, test item is associated with test requirement, and test requirements with different relationship strengths are selected for association; regression test case set selection: based on the regression test case selection model, test requirement, test case priority and defect library are combined to obtain the best regression test case set. The application is based on multiple factors for selection of the regression test case set, so that the effectiveness of the selection is higher.