575 results about "Test requirements" patented technology

The invention discloses a software automatic testing system based on generative artificial intelligence, which is characterized in that a software analysis module identifies attribute information of a UI component based on a multi-modal large model for a test object, and constructs a UI component knowledge graph according to a structured information document; the knowledge retrieval module receives the test requirements and retrieves related historical test cases, test scripts and related test data; the organization interaction module sends a test intention and demand information to the knowledge retrieval module for retrieval according to the input user test intention, and test demand knowledge is returned; sending the UI component knowledge graph to the software analysis module for searching the knowledge graph of the test object, and returning the UI component knowledge graph; a test generation module receives test demand knowledge and the UI component knowledge graph, and generates a test case and a test script; and the script execution module receives the test case and the test script, starts a test process and records a test result.

The invention relates to an automatic derivation method, system and device for an automatic driving test scene and a medium, and the method comprises the steps: analyzing a test demand of an automatic driving system, and mapping the test demand to a multi-dimensional scene element hierarchical architecture, so as to construct a multi-layer road scene; reasoning a scene condition dependency relationship by using a dual conditional probability, and generating an initial scene fragment set in combination with probability distribution sampling; establishing a multi-objective optimization function based on the scene type distribution weight, the element redundancy penalty factor, the physical consistency constraint and the security rule, screening and recombining the multiple initial scene fragment sets, and outputting an optimal scene set; extracting a causal logical relationship of the optimal scene set according to the directed acyclic graph, and generating a scene evolution path in combination with topological sorting; and executing multiple safety verification on the scene evolution path, and determining the optimal scene passing the verification as the automatic driving test scene. The technical problems that an existing test scene is low in generation efficiency, poor in authenticity and unreasonable in event chain logic are solved.

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 an intelligent cabin software testing method and device, an intelligent cabin and a vehicle. The method comprises the following steps: acquiring a test requirement document of the intelligent cabin software; according to the test demand document, generating a decision tree and a dynamic demand graph corresponding to the test demand document; generating a function knowledge graph corresponding to the intelligent cabin software according to the decision tree and the dynamic demand graph corresponding to the test demand document; according to the function knowledge graph corresponding to the intelligent cabin software, generating a test case of the intelligent cabin software; and according to the test case of the intelligent cabin software, generating and executing a test script of the intelligent cabin software to obtain a test result of the intelligent cabin software. According to the method, the automatic process of compiling the test case and generating the test script can be realized, and the test efficiency of the intelligent cabin software is improved.

The invention provides a vehicle software testing method and device based on a large model, and relates to the technical field of software testing, and the method comprises the steps: obtaining the testing demand information of to-be-tested vehicle software; generating a model prompt according to the test demand information, wherein the model prompt is used for indicating to generate resources required by the vehicle software test; inputting the model prompt into the large model, and obtaining each driving scene and a vehicle software test case output by the large model; performing physical rule verification on each driving scene; determining the driving scene passing the verification as a target driving scene, and inputting the target driving scene into a simulation platform to obtain simulation data of the target driving scene; and inputting the simulation data and the test case into an automatic test platform to enable the automatic test platform to analyze the simulation data, and executing the test case according to the analyzed simulation data to obtain a test result. By applying the method provided by the invention, the test efficiency and the coverage rate can be improved.

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 invention relates to the technical field of automatic testing, and discloses an automatic testing scheme generation method and device and a medium, and the method comprises the steps: matching a demand action in a test demand with a code entry name corresponding to a code segment, and determining a code risk level of a current demand code block; analyzing the code change frequency and the code dependency degree of the current demand code block according to historical test records in the test domain knowledge base, and determining the test dynamic priority of the current demand code block; constructing a control flow diagram and a data flow diagram of the current demand code block, and detecting risk nodes in the control flow diagram and the data flow diagram; generating a test scene of the current demand code block according to the risk node, and generating a boundary value test rule according to a key constraint condition in the data flow diagram; and querying an environment simulation rule of the current demand code block, and packaging the test scene, the boundary value test rule and the environment simulation rule into an automatic test scheme. According to the invention, the code coverage when the test scheme is generated can be improved.

The invention provides a charging pile testing method and device, a new energy automobile and electronic equipment, and the method comprises the steps: constructing a corresponding CAPL script according to the testing demands of a charging pile; performing version identification on the CAPL script to obtain a DBC file; defining message logic of the DBC file; dynamically configuring a protocol state machine corresponding to the DBC file after the message logic is defined; and after the dynamic configuration is completed, switching the configuration according to a test requirement, and generating a test report. The method can be applied to charging protocols of multiple versions, is higher in adaptability, improves the fault detection intensity, can be compatible with various different test scenes and test requirements, can dynamically adjust the test path according to the test requirements, and is higher in flexibility and higher in practicability.

The invention relates to the technical field of automatic testing, and discloses an automatic test case generation method and device and a medium, and the method comprises the steps: constructing test case knowledge bases of different fields, and carrying out dynamic and static joint feature analysis on code libraries corresponding to field test data; performing intention recognition on the test demand data, and performing atomization operation on the test demand data according to the test demand intention; identifying a test demand code block associated with the test demand data; generating a basic test case of the test demand code block according to the atomization parameter, and injecting an abnormal stream into the basic test case according to the atomization parameter to obtain a target test case; and selecting a similar test case corresponding to the target test case from the test case knowledge base, performing regression test on the test demand code block by using the regression test case, and optimizing the regression test case according to a test result to obtain an automatic test case. According to the invention, the coverage rate during test case generation can be improved.

The invention relates to a database test case generation and optimization method, system and device and a storage medium. Knowledge information related to a target database is obtained, and after vectorization is conducted on the knowledge information, the knowledge information is stored in a vector database supporting vector storage and vector retrieval; obtaining test demand information, retrieving vector data related to the test demand information from the vector database, and extracting original text data corresponding to the vector data through a mapping relation of the vector database; obtaining a pre-constructed cue word template, filling the test demand information and the original text data into the cue word template to obtain cue words, analyzing the cue words through a preset large language model, and generating a test case of the target database; and sending the test case to a database server for running to obtain a running result, optimizing the cue word according to the running result, and re-inputting the cue word into the large language model until the test case generated by the large language model meets user requirements.

The invention belongs to the technical field of data-real fusion testing, and particularly relates to a data-real fusion testing system, a testing method thereof and computer equipment. The method comprises the following steps: S1, acquiring a test script compiled by using a data-real fusion high-order test language according to a test requirement in advance; the data-real fusion high-order testing language comprises a simulation debugging instruction used for controlling subsystems in the data-real fusion testing system and a tested object of the data-real fusion testing system to complete testing, and the simulation debugging instruction comprises an execution part and a function part; the function part represents a function realized by the simulation debugging instruction, and the execution part represents an execution object of the simulation debugging instruction; the execution object is each subsystem or a tested object; s2, analyzing the test script to obtain an executable test atom sequence; and S3, executing the test atom sequence to complete the test so as to meet the test requirement. The technical problems that in the prior art, a number-real fusion test is only suitable for a specific field, and the universality is low are solved.

The invention provides a vehicle lamp test case intelligent generation method and system based on a knowledge graph, and relates to the technical field of vehicle lamp test. Comprising the steps of analyzing a test demand according to a customer product demand document, generating a test case according to a vehicle lamp test knowledge graph, filtering invalid test cases and performing case verification, feeding back a test report and updating the vehicle lamp test knowledge graph. According to the method, the test requirements and the index parameters are extracted through the natural language processing technology, intelligent generation of the test cases is achieved in combination with the knowledge graph, invalid cases are filtered through the reinforcement learning agent, the effectiveness and the test efficiency of the test cases are improved, and industrial standards and regulation requirements are met.

The invention relates to a cross-platform UI automatic testing method based on a multi-modal large model, and belongs to the technical field of UI automatic testing. The method comprises the following steps: acquiring data of multiple modes from UI interfaces of different platforms, and preprocessing the acquired multi-mode data; the preprocessed multi-modal data are input into a multi-modal large model, feature fusion is carried out, and multi-modal feature representation is formed; automatically generating a cross-platform test script according to a test requirement and the output of the multi-modal large model, and simulating user operation through interaction with an agent program or a driving program of each platform; performing intelligent analysis on a test result by using the multi-modal large model, including comprehensive evaluation on multi-modal data generated in a test process; abnormal conditions and potential problems in the test are automatically identified, and an analysis result is obtained; and a detailed test report is automatically generated, so that the problems of lack of visual verification, poor cross-platform compatibility, high maintenance cost and the like in the traditional U I test are solved.

The embodiment of the invention provides a UI automatic testing method and device, a storage medium and a program product. In the embodiment of the invention, the method does not depend on a test script, the language model used for UI automatic test directly and automatically identifies the interaction control needing to be tested according to the test requirement of the user on the target page and the screenshot of the target page, and the test instruction is generated for the interaction control needing to be tested; the terminal device where the target page is located is controlled through the test instruction to simulate user operation to conduct interaction control on the interaction control, and the test requirement of the user is met. According to the scheme, the to-be-tested control is automatically identified by the language model according to the test requirements and the page screenshot instead of depending on the test script, so that the test script does not need to be frequently modified due to the change of the page layout, the test cost can be reduced, and the test efficiency can be improved.

The invention discloses an automatic server performance testing system and method, electronic equipment and a medium, and relates to the technical field of computers.The method comprises the steps that a performance testing task of a to-be-tested server is generated according to a testing requirement input by a user through a testing task generating module, and after the to-be-tested server is connected, the performance testing task of the to-be-tested server is acquired through a data acquisition module; acquiring multiple pieces of performance index data of the to-be-tested server in the process of executing the corresponding performance test task, processing the multiple pieces of performance index data through a performance test module to obtain target performance index data, and inputting the target performance index data into a pre-constructed target performance evaluation model to evaluate the performance of the to-be-tested server. And outputting a target performance test result of the to-be-tested server. According to the method and the device, the problems that the server performance test generally depends on manual operation, the automation degree of the test is reduced, the complex server environment cannot be handled, and the accuracy of the server performance test result is reduced in the prior art are solved, so that the efficiency and the accuracy of the server performance automatic test are improved.

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 discloses an automatic testing method and system for credential equipment, and relates to the technical field of credential equipment test.The method comprises the steps that testing requirements input by a user are analyzed through a natural language interface, key parameters are extracted, historical cases are retrieved, and a structured testing requirement table is generated; based on the structured test demand table, constructing a multi-objective optimization model, and outputting a test strategy matrix after iterative updating by using an NSGA-III algorithm improved by chaotic mapping; performing feature extraction and anomaly detection on the test logs, and identifying anomaly features through a dynamic threshold model; constructing a fault propagation graph model based on the abnormal features, positioning a root cause node by applying an improved causal reasoning algorithm, and generating a strategy iteration scheme; the improved NSGA-III algorithm initializes a population and dynamic target space adaptation mechanism through chaotic mapping, so that the Pareto front coverage rate is improved, and meanwhile, in combination with a resource weight allocation formula of an aging-time decay factor, collaborative optimization of the test cost and the extreme scene coverage rate is achieved.

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 software testing method and device, a medium and a computer program product, and relates to the technical field of software testing, a test case is generated according to input test requirement information for tested software, a code analysis tool is utilized to analyze the complexity score of the test case, and the complexity score of the test case is analyzed; and calling the first agent to decompose the test case into a plurality of sub-test tasks according to the complexity score, and calling a plurality of second agents to correspondingly execute the sub-test tasks so as to comprehensively cover the test scene, in the test, the second intelligent agent corresponding to the associated software module is triggered to repeatedly test the associated software module according to the configuration information change of the target software module of the tested software and the dependency graph between the software modules, so that the system change is automatically adapted, the overall repeated test is reduced, and hidden problems are found; the problems of incomplete test coverage, difficulty in discovering hidden problems and low efficiency in related technologies are solved, and the test efficiency and reliability of the management operation and maintenance software of the data center server are 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 relates to a parallel test task scheduling method for a multi-target equipment distributed test system, and belongs to the technical field of scheduling methods. The invention provides a parallel test task scheduling method for a multi-target equipment distributed test system and aims to solve the problems that current equipment models are continuously increased, the number and complexity of equipment test tasks are obviously increased, a traditional test method is long in test time and low in resource utilization rate, and equipment test requirements at the current stage cannot be met. The method can obviously shorten the test time and improve the resource utilization rate, and comprises the following steps: step 1, describing an equipment parallel test task scheduling model by adopting a mathematical method; step 2, determining a constraint relationship of the test task on test time sequence and resources and a constraint condition satisfied between the test task and the test resources; 3, determining a fitness function corresponding to the test time and the resource utilization balance degree, and designing an overall fitness function; and step 4, solving the fitness function.

The embodiment of the invention provides a simulation multi-user test method and device, and the method comprises the steps: loading at least one piece of user information through a preset user data pool; after a login request of the at least one piece of user information is obtained, configuring corresponding user test data; establishing at least one test scene based on a preset test requirement and at least one piece of user test data; and performing a simulation test through the at least one test scene to obtain a simulation test result. User information is loaded through a preset user data pool, test data is dynamically configured after login, a test scene is built based on a preset test requirement, a simulation test is executed to obtain a test result, multi-user concurrent operation is simulated, data consistency and performance stability of a system in a high-load environment are ensured, abnormal conditions are effectively recognized, and the system performance is improved. And the test efficiency and the coverage rate are improved.

The invention provides a performance test method, device and system based on flow playback, and a medium. According to the method, a traffic compensation strategy based on time fragmentation is adopted to ensure that the number of data streams meets test requirements, a token updating mode is adopted to ensure that authentication information in the data streams is continuous and effective, the availability of traffic is enhanced, the traffic value is ensured, the multiplexing value of the traffic is improved through mechanisms of parameterization, authentication and traffic compensation, and the service life of the traffic is prolonged. According to the method, the effectiveness and the applicability of the grabbed flow are ensured, script modification work caused by using different pressure measurement tools is avoided, the test efficiency is improved, and compared with an existing scheme, the test result in the performance test process and the performance index during actual operation do not have deviation exceeding the specified standard, and the test efficiency is improved. Therefore, the problem of deviation between the test result and the performance index during actual operation in the performance test process of the existing scheme is solved.

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 invention discloses an SERDES verification method and device, and the method comprises the steps: obtaining a protocol type and a configuration mode supported by a to-be-tested SERDES, generating a first compiling simulation script according to the protocol type, and enabling the script to comprise the clock frequency, the data rate, the parameter configuration of a coding mode, the generation rule of simulation excitation, and a result output path; based on the test requirement and the protocol type, a test top layer file and a file list are determined, and the file list comprises paths of the to-be-tested design file and the test excitation file; calling a script, executing first compiling simulation, and generating a waveform file and a log file; switching to a second protocol type, updating the test top layer file and the file list, and generating a second compiling simulation script; executing secondary compiling simulation to generate a waveform file and a log file corresponding to the second protocol; the log file is analyzed, the bit error rate, the function coverage rate and the time sequence violation are counted, and a comprehensive test report is generated. The method can accelerate the verification speed and reduce the development time.

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.