746 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 relates to the technical field of software testing, in particular to a self-adaptive software testing environment configuration method and system.The method comprises the steps that before software testing is started, a sensing layer analyzes testing requirements through a prediction model, and a preliminary environment configuration scheme is generated by analyzing codes, configuration, requirement documents and historical data; the containerization and virtualization management module creates a virtual machine and deploys applications according to the scheme, the SDN control module sets network topology and strategies, and the automatic configuration module executes environment establishment; in the testing process, a dynamic monitoring module monitors resource use in real time and feeds back the resource use to a decision-making layer based on a data interaction protocol, a test demand perception prediction model in the decision-making layer generates a resource adjustment strategy and a network optimization strategy based on monitoring data, and a test strategy and a case execution sequence are dynamically adjusted. And the optimization feedback module evaluates the environment configuration effectiveness and transmits the environment configuration effectiveness to the decision-making layer for adjustment. According to the invention, the beneficial technical effect of a more efficient, accurate and reliable software testing process is realized.

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 automatic test method based on natural language processing, which comprises the following steps: S1, generating a test case: performing semantic analysis on a software requirement document or a test requirement by utilizing a natural language processing technology, extracting key information, and combining the extracted test information and a preset test case template to generate a test case; a preliminary test case is automatically generated; the key information comprises a test purpose, an operation step and an expected result; s2, analyzing the test case; s3, generating a test script; s4, executing the test script; and S5, analyzing a test result. According to the automatic test method based on natural language processing, the test requirements described by the natural language can be automatically analyzed, the test case is generated, the test is automatically executed, and the test report is finally generated, so that the software test efficiency is improved, the workload of manually compiling and executing the test case is reduced, and the test efficiency is improved. And the coverage rate and the accuracy of the test are improved, more software defects can be found, and the quality of software products is guaranteed.

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 discloses a test case determination method and device, a storage medium and electronic equipment, and relates to the technical field of computers, and the method comprises the steps: obtaining an iteration demand document and a code difference analysis result corresponding to a target product; in the first large model agent, on the basis of the iteration requirement document and the code difference analysis result, candidate test cases conforming to a first similar condition are retrieved from a test case library; in the second large model agent, generating a first test case based on a target code difference analysis result in the code difference analysis results, the iteration demand document and predetermined prompt information; and forming a target test case corresponding to the target product by using second test cases meeting a second similar condition in the first test case and the candidate test cases. Compared with the prior art, the test requirements of the target product can be accurately met, and the product test efficiency is improved.

The invention provides a testing method and device, testing equipment, network equipment, a medium and a program product, and is applied to the technical field of testing. The method comprises the following steps: obtaining test requirement information of a to-be-tested scheme, and obtaining test process information obtained by executing the to-be-tested scheme by test execution equipment; analyzing the test process information according to the test requirement information by adopting a multi-modal large model to obtain a test intermediate execution instruction; and sending the test intermediate execution instruction to the test execution equipment for further test execution of the to-be-tested scheme. By adopting the method, the test process analysis in the multi-modal test process is realized by utilizing the analysis and reasoning capability of the multi-modal large model on the multi-modal information, and the test intermediate execution instruction for guiding the test execution is generated according to the test requirement information and is used for executing the subsequent test steps, so that the multi-modal test efficiency is improved under the multi-modal test scene. Automation of the interaction process is tested.

The invention provides a test program generation method and device, computer equipment and a readable storage medium, and belongs to the technical field of software development. The test program generation method comprises the steps of obtaining a test requirement document of a target chip; analyzing the test demand document to obtain keyword information corresponding to the test demand document; based on a preset test development model and the keyword information, obtaining test demand development model information; according to the test requirement, developing model information, calling at least one artificial intelligence interface in a preset large language model, and generating a plurality of test codes; and according to the plurality of test codes, generating a target test program corresponding to the target chip. According to the method, the effects of shortening the development period of the test program and improving the development efficiency of the test program can be achieved.

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 a test case generation method and device, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence. The method comprises the steps of obtaining a test requirement document and a target code of an application program; the test demand document is used for indicating the test demand of a tester for the application program; the target code comprises at least one of a newly added code and a modified code; obtaining a prompt statement based on the test requirement document of the application program and the target code; the prompt statement is used for indicating to generate a test case matched with the test requirement document and the target code by taking a specified database as background knowledge; the specified database is a database composed of knowledge related to the test of the application program; and inputting the prompt statement into the generative language model to obtain a test case output by the generative language model. According to the scheme, the generation quality of the test case can be improved.

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 embodiment of the invention provides a software test recommendation method and device, equipment and a storage medium. The method comprises the following steps: performing feature extraction on a technical document of to-be-tested software to obtain test features of the to-be-tested software; according to a similarity score between the test feature and a historical test feature corresponding to a historical test demand, screening out a target historical test demand meeting a condition from the historical test demand; performing feature screening on the test features corresponding to the target historical test requirements based on an association rule analysis algorithm to obtain target test features; performing clustering processing on the target test features based on a preset clustering dimension to obtain software test suggestion information under the preset clustering dimension; and recommending the software test suggestion information to a user. According to the embodiment of the invention, quality fluctuation caused by experience and ability level differences of testers can be avoided, the systematicness and consistency of test suggestions are improved, and the coverage of the test suggestions is improved.

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 knowledge graph-based financial test case intelligent auditing method, which belongs to the field of financial testing and comprises the following steps of: 1, analyzing a test requirement; step 2, analyzing the test case; step 3, constructing a knowledge graph; 4, semantic matching of the test requirement items and the test cases, the intelligent financial test case auditing method based on the knowledge graph achieves efficient, accurate and standard test case auditing through automatic and intelligent means, cost is reduced, system reliability is improved, and the method is suitable for popularization and application. And the efficiency and the quality of financial test case auditing are expected to be improved.

The invention relates to an anti-explosion high-temperature-resistant explosion test pipeline design method based on finite element simulation, and belongs to the field of pipeline design and application. According to the method, mechanical and heat transfer behaviors of the pipeline under the combined action of high temperature and explosive shock waves are analyzed by simulating extreme working conditions such as explosion, fire blast and detonation, and the safety performance of the pipeline is improved. The method comprises the following specific steps: firstly, setting explosion working condition parameters based on test requirements and related standards; secondly, establishing a three-dimensional finite element model, and performing fluid dynamic simulation analysis; then, through thermodynamics and explosion impact data analysis, temperature, pressure and stress distribution is obtained, and design parameters such as the geometric structure, the material and the wall thickness of the pipeline are optimized; and finally, verifying the safety and the stability through experiments. The method improves the design efficiency and reliability, and is suitable for high-risk experiment environments such as petrochemical engineering and mines.

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 provides a multi-core consistency test method and device, electronic equipment and a storage medium, and relates to the technical field of communication. Comprising the following steps: determining a plurality of test parameters and a value range of each test parameter according to a test requirement of tested equipment; generating a plurality of groups of test parameter combinations according to the value range of each test parameter; according to the multiple groups of test parameter combinations, creating a test program corresponding to each processing core in a plurality of processing cores participating in the test in the tested equipment, and deploying the test program corresponding to each processing core to each processing core; running the test program on each processing core, and controlling the corresponding processing core to perform consistency test verification by the test program according to each group of test parameter combination to obtain a test result corresponding to each group of test parameter combination; and according to the test result corresponding to each group of test parameter combination, analyzing to obtain a consistency test result between the processing cores. According to the method, the test parameter combination capable of comprehensively covering more test scenes can be generated, and the test comprehensiveness and accuracy are 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.

A novel intelligent sharp edge tester comprises a testing head, a testing adhesive tape is arranged on the testing head, and a result of a sharp edge test is judged according to the pressed pressure of the testing head and the damage degree of the testing adhesive tape; and the data processing component can perform data processing on the pressure value data, and the data processing at least comprises the steps of displaying the pressure value data, storing and tracing the pressure value data, performing graphical generation on the pressure value data, and judging whether the sharp edge test result is credible or not. The invention further provides an edge sharpness degree evaluation method, and edge sharpness degree grade evaluation can be carried out. According to the invention, visualization of test data can be realized, a basis can be provided for evaluation of the sharpness degree and the damage risk level, and the problems that in the prior art, the test result is inaccurate because the test force value of mechanical sharp edge test equipment cannot meet the test requirement in the whole test process; and the data is difficult to read and cannot be traced, and the like.

The invention relates to the technical field of data processing, in particular to an automobile standard regulation structured processing and application system. The system comprises a product project conformity management and control unit which determines a matched first standard regulation set according to attribute information; extracting keywords in the test process of the test report, and determining a second standard regulation set in the first standard regulation set through a keyword matching algorithm; determining a third standard regulation set in the second standard regulation set according to the step sequence of the matched keyword and the matching of the step content; determining a fourth standard regulation set in the third standard regulation set by performing similarity comparison on the test diagrams; and according to the test requirements of each standard regulation in the fourth standard regulation set, determining whether the target vehicle type meets the standard or not. According to the embodiment of the invention, automatic processing of the standard regulation and automatic and accurate comparison with the test report are realized.