391 results about "Test requirements" patented technology

The invention discloses an integrated verification and test system and method for complex rules of a substation monitoring system, and the system comprises a rule editing module which provides a visual interface to support a user to edit the complex rules containing various types of variables and time sequence constraints; the analysis and verification module is used for performing grammar, variable conflict and business compliance multi-level verification on the rules; the intelligent test case generation module is used for automatically generating test cases covering normal, boundary and abnormal conditions based on the rule tree structure; the simulation test interface module converts the use case into a standard test script, submits the standard test script to a simulation tool for execution, and outputs the standard test script to a monitoring system through protocol conversion; the result analysis module is used for comparing an execution result with an expected result and generating a structured test report; according to the invention, full-process automation of rule verification and testing is realized, the verification efficiency is remarkably improved, and the test requirements of various transformer substation business scenes are met.

The invention discloses an intelligent terminal function test method and system, and belongs to the technical field of intelligent terminal function test. The method comprises the steps that a dynamic demand tracking mechanism is constructed, UI elements are analyzed, and a topological graph marking resource occupation types and hierarchical dependence is generated; establishing a demand-use case-defect incidence matrix to realize automatic update of the use case state when the demand is changed; executing a test based on the topological graph and the matrix, traversing a path according to a preset strategy, collecting data and comparing an expected result; and optimizing iteration according to a test result, adjusting a node weight and a matrix mapping relation, and generating a new test path and a use case suggestion. The system comprises a dynamic demand tracking module, an incidence matrix management module, a test execution module, an optimization iteration module and a data storage module. According to the method, the test range is accurately adapted to the demand change, the test coverage and the defect tracing efficiency are improved, a test strategy closed-loop optimization mechanism is formed, and the test requirements of a complex system and an agile development mode are met.

The invention relates to a test case generation method and system based on multi-agent efficient collaboration, belongs to the technical field of software testing, and solves the problems of incomplete scene coverage, logic disorder and the like when a single large model processes a complex task. The method comprises the following steps: constructing a multi-modal professional field knowledge base; the task planning agent module generates a test case generation task based on a project development document and a software source code file of a to-be-tested project and distributes the test case generation task to the test demand analysis agent module; based on the test case generation task, extracting a test demand point related to the tested software configuration item, describing the test demand point, and labeling a corresponding tracking relationship between a test demand point ID and a code snippet or a function in the software source code file to construct a test demand-code snippet / function set; and generating a test case and a test description document based on the test demand-code snippet / function set and the multi-modal professional domain knowledge base. And the ability of generating the test case of the large model is enhanced through organic and efficient cooperation of multiple agents.

The embodiment of the invention discloses a test case generation method and device based on a service scene and related equipment. The method comprises the following steps: acquiring historical test data, and identifying and extracting entities and corresponding entity relationships in the historical test data through a pre-trained identification model; according to the entities and the corresponding entity relationships, storage is carried out in a triple form, and a test knowledge graph is constructed; analyzing based on the test document of the current test item, and determining the test requirement and the test item of the test document; based on the test requirements and the test items, matching corresponding standard triads and reference test cases from the knowledge graph and a preset test case library to obtain a target triad set and a target reference case; and generating a target cue word based on the test requirement, the test item, the target triple set and the target reference case, and generating a target test case through a pre-trained large language model. According to the method, the scene coverage of the test case is higher, and the logic continuity of the test case is improved.

The invention discloses an automatic interlocking test method and system based on a RobotFrameWork framework, and belongs to the technical field of interlocking tests.The automatic interlocking test method comprises the steps that on the basis of a preset rule and a general test case, function logic decoupling is conducted on a test script in combination with the RobotFrameWork framework, and function keywords are obtained; obtaining a configuration file according to the interlocking function and the test data type, and performing feature extraction on the to-be-tested data and the interlocking table based on the configuration file to obtain associated test data; and according to the test requirements and the associated test data, performing testing in combination with the function keywords. The method comprises the following steps: performing function decoupling on a test script through a keyword driving characteristic of a RobotFrameWork framework to obtain a function keyword which only encapsulates single function logic, and extracting associated test data related to a test from to-be-tested data and an interlocking table through an interlocking function defined by a configuration file and a mapping rule of a data type. The technical problems that test efficiency is difficult to improve and script maintenance is difficult in the prior art are solved.

The invention relates to the technical field of intelligent testing, and discloses a software test task management method and device based on an intrusive instruction knowledge base, equipment and a medium, and the method comprises the steps: analyzing an obtained demand card based on a large model technology, analyzing a semantic role of a vocabulary in the demand card through a semantic role labeling technology, and obtaining a semantic role of the vocabulary in the demand card; extracting test requirements and test points of semantic roles of vocabularies in the requirement cards; querying test information matched with the test requirements and the test points in a knowledge base of the software project, and determining the test information with the highest matching degree as target test information; in combination with the demand card and the target test information, automatically generating a test scheme of the current version based on a large model technology; and according to the generated test scheme. The method can be applied to the development of business systems such as financial science and technology, medical health, old-age care and the like, and the efficiency of the test work is remarkably improved by automatically analyzing the demand card, generating the test scheme and arranging the test task.

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 a self-adaptive software test case generation optimization method, which comprises the following steps of: carrying out structured analysis on service requirements of a target system, extracting multi-dimensional test requirements of performance, resources, risks and coverage rates, and carrying out tagging and normalization processing to form a quantifiable index system; based on a meta-strategy layer decision engine, fusion reinforcement learning and fuzzy reasoning are carried out to realize multi-target weight distribution and dynamic compromise; generating and optimizing a preferred case set by means of a trade-off adaptive algorithm, performing conflict marking and constraint cooperative adjustment, collecting feedback data through automatic testing, correcting weight distribution and conflict detection rules according to actual results, and continuously iterating case generation strategies; the objective achievement degree is periodically evaluated, the strategy model is reconstructed or switched to adapt to scene changes, the accuracy of test requirement expression and the self-adaptability of the use case generation strategy are improved, and efficient collaborative optimization of multi-objective testing and dynamic adaptation of service scenes are achieved.

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 belongs to the technical field of model-driven system engineering and intelligent system modeling, and particularly relates to a test requirement formalized design method based on primitive intelligent extension. The method comprises the following steps: obtaining a semantic map, and defining semantic nodes in the semantic map as type modules or intelligent modules; instantiating the type module to obtain a type model instance node, and instantiating the intelligent module to obtain an intelligent model instance node; organizing the type model instance nodes and the intelligent model instance nodes into a model graph; constructing an extended state primitive, constructing a plurality of interactive combination states based on the extended state primitive, defining an intelligent migration mechanism and constructing an extended state machine diagram; respectively testing the model diagram and the expansion state machine diagram, and if the model diagram and the expansion state machine diagram are tested to be qualified, exporting the model diagram and the expansion state machine diagram; the method can solve the problems of dynamic behavior description fragmentation, multi-agent interaction mechanism stiffness and insufficient model reusability of a traditional system modeling language in intelligent system modeling.

The embodiment of the invention provides a software testing method, electronic equipment, a software testing device and a storage medium. The method comprises the following steps: in response to a software test requirement, determining a test case set and at least one test environment corresponding to the software test requirement; matching the at least one test environment with the test case set to determine an environment test case corresponding to each test environment; based on the environment test case, environment verification is conducted on the corresponding test environment, and under the condition that it is determined that at least one test environment meets the preset test requirement according to the environment verification result, the remaining cases in the test case set are tested based on the at least one test environment till the software test is completed. Therefore, the method gives consideration to verification of the test environment on the premise that the overall test efficiency is not affected, and guarantees are provided for the effectiveness of the software test result and the test 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 invention discloses a page testing method, device and equipment, a medium and a product. The method comprises the steps of obtaining a page image and a page code corresponding to a to-be-tested page, and determining test demand information in a test instruction; determining at least one element area image in the page image and element features of the element area image based on the page code; determining a first matching degree between the element region image and the test demand information, determining a second matching degree between the element feature of the element region image and the test demand information, and determining a target matching degree of the element region image based on the first matching degree and the second matching degree; and determining a test result for the to-be-tested page based on a test type in the test instruction and the target matching degree of each element region image. According to the technical scheme provided by the embodiment of the invention, the accuracy, convenience and efficiency of page testing are improved.

The invention discloses a multi-modal-based automatic test script generation method and system, and the method comprises the steps: a user describes a test demand through a natural language, uploads an interface screenshot to carry out multi-modal input, and calls a large language model to generate an AIRTEST script; performing mode matching on the generated script by using a regular expression, extracting all picture element names, and performing reordering processing to form an element name list; the original interface screenshot and the element name list are input into the visual large model, and the visual large model is required to return standardized coordinate data; image cutting operation is executed based on the coordinate data, and actual image resources are provided for the test script; and automatically generating a. Air item folder named by a timestamp, creating a Python script file with the same name in a directory, writing a test script code generated previously, storing picture resources obtained by cutting into the item folder, and forming a complete executable test suite meeting the requirements of an AIRTEST framework. According to the invention, the core pain points of high learning cost and difficult maintenance of a traditional automatic test tool can be solved.

The embodiment of the invention provides an integrated testing method and device and a storage medium. In the embodiment of the invention, the AI large model, the MCP protocol and the multiple test frameworks of the execution layer are fused, so that an integrated test process with the cooperation of multiple test types is realized; the AI large model analyzes the test requirement document, recognizes multiple test requirements, is responsible for generating multiple test cases from the multiple test requirements, further converts the generated multiple test cases into multiple types of test scripts, calls a corresponding test framework to execute the test script corresponding to each test type through the MCP service of the execution layer, and performs the test on the test scripts. An integrated process from test case generation and script conversion to a test process is realized, and collaborative execution of multiple types of test scripts is realized. In addition, the integrated test framework further comprises a scheduling layer which is used for responding to the output of the AI large model, calling the MCP service of the execution layer, unloading the function of scheduling and managing the MCP service of the execution layer from the AI large model, and improving the reasoning efficiency of the AI large model.

The invention discloses a test case generation method and device, a storage medium and electronic equipment, and the method is executed by a test case generation model, and comprises the steps: obtaining a case generation guide constructed for a to-be-tested application, according to a test design process in the use case generation guide, extracting a test demand point from a test demand of the to-be-tested application; determining a test verification point based on the test demand point, and determining a target test method in candidate test methods in the use case generation guide based on a verification type to which the test verification point belongs; and generating a test case for the to-be-tested application based on the target test method and the test verification point. By executing the technical scheme, the generation efficiency of the test case and the coverage rate of the test verification points are improved.

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 discloses a test case reuse automatic management method, system and device and a medium, and relates to the field of system tests.The method comprises the steps that a demand text submitted by a tester is obtained; sequentially carrying out keyword matching and semantic matching on the demand text and the test cases in the test case library, and sorting the matched test cases according to reuse priorities to generate a semantic matching case set; performing rule verification on the test cases in the demand text and semantic matching case set, and generating and displaying a reuse scheme so as to guide testers to reuse the corresponding test cases; performing duplicate removal verification on the reused test case, and storing the test case into a test case library; and deleting the test cases of which the reuse rates are lower than a set threshold value in the test case library according to a set time interval. According to the method and the device, the test case can be efficiently reused, the time for manually compiling the test case is remarkably shortened, and meanwhile, the reused test case is ensured to meet the current test requirement, so that the test efficiency and quality are improved.

The invention relates to the technical field of folding screen testing, and discloses a reliability testing method and system for a folding screen mobile phone. The system comprises a test partition decision module, a dynamic test strategy module, an abnormal response analysis module and an adaptive enhancement module. The test partition decision module obtains physical structure parameters and historical deformation data of the folding screen and divides the folding screen into a screen center flexible area, a hinge stress concentration area and an edge packaging area; the dynamic test strategy module generates current and target test strength levels for each test partition; the abnormal response analysis module calculates the partition test deviation degree according to the target and actual test strength grade difference; the adaptive enhancement module generates a predicted test strength level for a next test period based on the test deviation and historical test data. The system can improve the test accuracy and efficiency, and meets the reliability test requirements of each region of the folding screen.

The invention provides a test script generation method and device, electronic equipment, a medium and a program product, relates to application of a large model in a financial science and technology scene, and can be applied to the technical field of artificial intelligence, the technical field of big data and the field of financial science and technology. The method comprises the following steps: acquiring a pre-constructed multi-agent cluster; obtaining a target test demand by using a user interaction agent; performing semantic understanding on the target test requirement by using a semantic analysis agent to obtain semantic representation information; generating candidate test paths based on the semantic representation information and a preset interface structure knowledge graph by using an operation reasoning agent, and outputting a test path sequence based on the candidate test paths; and receiving the test path sequence by using a script generation agent, and constructing a test script based on the test path sequence and a script template to generate a target test script.

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.