217 results about "Test data generation" patented technology

The invention discloses a method and device for automatically generating a Java method unit test case based on AI, and the method comprises the steps: building a structured annotation specification, carrying out the automatic traversal and intelligent analysis of a Java project, extracting a method signature, a parameter type and a parameter constraint condition, constructing a test data generation model, and carrying out the automatic generation of the test case. The model is transmitted to an AI service to analyze business logic and boundary conditions, test case codes are generated, test cases are optimized and integrated to a project test directory, finally, code areas with insufficient coverage are identified through coverage rate analysis, a test completion strategy is generated, and iterative perfection of the test cases is completed. The technical problems that in the prior art, project-level automatic test case generation cannot be achieved, the generated test case cannot fully cover business logic and boundary conditions, and context relation understanding is lacked are solved, full-automatic project-level test generation is achieved, and the test efficiency and quality are improved.

The invention provides an intelligent test platform, which comprises a test demand analysis module used for carrying out demand analysis on input test demand information based on a demand analysis agent to obtain a plurality of test demand items; the test case generation module is used for calling a case generation agent to generate a plurality of test cases corresponding to a plurality of selected target test demand items in response to a selection operation on the plurality of test demand items; the test script generation module is used for calling a script generation agent to generate at least one test script corresponding to at least one checked target test case in response to check operation on the test cases; the test data demand analysis module is used for calling a data demand agent to perform demand analysis on the test case to obtain a plurality of test data demands; and the test data generation module is used for calling a data generation agent to generate test data corresponding to the test data demand. According to the invention, the test efficiency and the test reliability are improved.

The invention provides an intelligent test data generation and verification method and system based on a hierarchical architecture, and relates to the technical field of data generation, and the method comprises the steps: constructing a cross-layer constraint dependency graph by analyzing each layer of data mode and constraint and conversion logic of a hierarchical architecture software system; generating candidate test data meeting the constraint based on the dependency graph in a back-stepping manner, and verifying the candidate test data through projection; and iteratively optimizing the dependency graph and the test data by monitoring the difference between the actual execution and the prediction form. According to the method, cross-layer data consistency verification is realized, the test coverage rate and the defect detection efficiency are improved, and the quality risk of a software system is reduced.

The embodiment of the invention provides a method, device and system for testing automatic driving based on artificial intelligence, and a storage medium, and relates to the technical field of automatic driving. The method comprises the steps of collecting driving data of an automatic driving vehicle; controlling to start and stop recording test data according to the driving data through the artificial intelligence large model; generating a test report according to the recorded test data through the artificial intelligence large model; wherein the test report comprises root cause analysis, scene performance differences and / or optimization suggestions. According to the method, the recording package is automatically triggered according to the driving data through the artificial intelligence large model, manual triggering of the recording package is not needed, recording omission of key events can be reduced, root cause analysis, scene classification and performance evaluation are carried out through the artificial intelligence large model, retrieval of massive multi-modal data one by one and dependence on manual annotation and experience judgment are not needed, and the efficiency is improved. And the test efficiency and the reliability of the test result are improved.

The process validation platform disclosed herein enables automated validation of data transformation processes based on simulation-based data. For example, the process validation platform can generate metadata associated with a data transformation environment, evaluate the metadata, and generate test data based on the metadata. The process validation platform can generate test cases (e.g., test records) and associated code samples based on the test data and enables updates and review of the test cases. The process validation platform can transmit the code samples to the data transformation pipeline for execution of the associated data validation tasks.

The invention discloses an intelligent test data generation and optimization method and system based on a low-code platform, and belongs to the technical field of software engineering and artificial intelligence, and the method comprises the steps: analyzing a business rule and data model definition information of a low-code application; according to the business rule and the data model definition information, utilizing a generative model to generate initial test data; performing quality evaluation and fault prediction on the generated initial test data; collecting test execution feedback information, including fault types caused by data, performance bottleneck positions and the like; formulating a data generation parameter adjustment strategy according to the test execution feedback information and the service target; and regenerating test data according to the adjustment strategy, and outputting the optimized test data for a subsequent iterative test. And the optimized test data is subjected to effect evaluation, so that the test quality and efficiency are continuously improved. According to the invention, the test data dynamically adapts to business demand changes, the test coverage rate and the fault discovery efficiency are improved, and the labor cost is reduced.

Methods, system, and computer program product are disclosed for enhanced system level testing of an AI hardware accelerator comprising Artificial Intelligence (AI) primitives. The system level testing provides uncompromised test coverage of the AI hardware accelerator while enabling efficient and effective testing performance. Enhanced test data generation, result prediction, and test execution are provided for system level testing of AI hardware accelerator including the AI primitives.

The invention provides a test case generation method and device, equipment, a medium and a program product, and relates to the technical field of artificial intelligence, the method comprises the following steps: detecting a database based on a target demand text to obtain target test data matched with the target demand text, the target test data comprising a test case and defect mode data; summing the M feature index values of the test case according to the corresponding weights to obtain a score; summing the N feature index values of the defect mode data according to corresponding weights to obtain a score; and generating a first test case based on the first test data by adopting a pre-trained agent model, wherein the first test data comprises a test case of which the score is within a first preset range and defect mode data of which the score is within a second preset range. According to the embodiment of the invention, the test case is automatically obtained based on the target demand text, and the first test case is generated in the defect mode, so that manual intervention is reduced, and the test case generation efficiency is 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 relates to a distributed test data generation and sharing system based on privacy computing, and belongs to the technical field of big data, the system comprises a data generation module used for fragmenting acquired user data to a plurality of computing nodes for k-anonymization processing to obtain local data blocks output by each computing node; the privacy calculation module is used for extracting statistical characteristics of the local data blocks and generating an encrypted data packet based on the statistical characteristics; the data storage module is used for carrying out fragmentation storage on the encrypted data packet based on the data type of the encrypted data packet; the data sharing module is used for constructing an access strategy tree based on the encrypted data element information of the encrypted data packet; the access strategy tree is used for generating a decryption key containing the timestamp and the operation authority for the authorized user. According to the system provided by the invention, only the compliance access operation is allowed to trigger the data decryption process, data sharing is realized under the condition of ensuring that the user data is safe and not leaked, and the risk of data leakage in the data test is reduced.

Disclosed embodiments may include a method for automated generative data loss prevention testing. The system may include one or more processors, and memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to receive an instruction to perform data exfiltration prevention testing, select one or more data element types and one or more data channels, and select, based on the one or more data element types, one or more test data generation programs from a plurality of test data generation programs. In some embodiments, the memory can be further configured to cause the system to generate and utilize a set of test data to conduct data exfiltration prevention testing. The data exfiltration prevention testing can be conducted by executing one or more transfers and monitoring the one or more data channels.

The invention discloses a test data generation method and device, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: determining a target message protocol file corresponding to a standardized data template corresponding to business transaction data; transmitting the standardized data template to a target message protocol file; when the transmission is completed, performing format conversion on a message protocol in the standardized data template based on a message protocol grammar rule in the target message protocol file to obtain message protocol specification data; and injecting the message protocol specification data into the sending message to generate test data. According to the invention, the message protocol in the standardized data template can be converted into the message protocol specification data based on the message protocol grammar rule, and the message protocol specification data is injected into the sending message to generate the test data, so that the problem that in the prior art, the message system test depends on the technical specification of the message system of manual learning is solved; and the test accuracy is not high.

Disclosed embodiments may include a method for automated generative data loss prevention testing. The system may include one or more processors, and memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to receive an instruction to perform data exfiltration prevention testing, select one or more data element types and one or more data channels, and select, based on the one or more data element types, one or more test data generation programs from a plurality of test data generation programs. In some embodiments, the memory can be further configured to cause the system to generate and utilize a set of test data to conduct data exfiltration prevention testing. The data exfiltration prevention testing can be conducted by executing one or more transfers and monitoring the one or more data channels.

The application relates to the technical field of folding screen testing, and discloses a reliability test 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 a self-adaptive reinforcement module. The test partition decision module acquires folding screen physical structure parameters and historical deformation data, and divides 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 intensity levels for each test partition; the abnormal response analysis module calculates a partition test deviation degree according to the difference between the target and actual test intensity levels; and the self-adaptive reinforcement module generates a predicted test intensity level for the next test cycle based on the test deviation degree and historical test data. The system can improve test accuracy and efficiency, and adapt to the reliability test requirements of various areas of the folding screen.

The invention relates to the technical field of battery testing, and discloses a battery safety testing system which comprises a dynamic loading system used for performing safety testing on a to-be-tested battery according to a target testing instruction; the central control system is connected with the dynamic loading system and is used for searching corresponding target test data from a pre-established standard file according to the battery type of the battery to be tested and the current test type, generating a corresponding target test instruction from the target test data and sending the target test instruction to the dynamic loading system; the standard file comprises test data in one-to-one correspondence with different battery types under different test types, and the test data comprises test parameters and test tool parameters. Therefore, the consistency of each test can be effectively kept, and the comparability of test results is improved. Meanwhile, the automation level and the intelligence level of testing can be improved, the testing efficiency and accuracy are improved, and errors caused by manual operation are reduced.

Systems and methods for generating synthetic test data for testing a software solution. Systems and methods include receiving a testing task from a user, identifying test properties of the testing task, gathering initial information based on the test properties of the testing task, forming a training dataset based on the initial information and the test properties, pretraining a generative AI model based on a large language model (LLM) using the training dataset, configuring synthetic test data based on the test properties, and generating synthetic test data according to the testing task using the generative AI model.

The invention discloses a test data generation method and device, a medium and a program product. The method comprises the following steps: configuring attribute information of a tested system database in a data processing platform through a database configuration component, and establishing data connection with the tested system database through a preset connection mode; inputting test demand information of the tested system database through the test demand input component, and sending the test demand information of the tested system database to the test data generation component; and in response to the test data generation instruction, based on the data connection with the tested system database, obtaining the service test data from the tested system database through the test data generation component according to the test demand information of the tested system database so as to generate the service test data. According to the embodiment of the invention, the preparation of the service test data can be realized without knowing the query logic and technical architecture of the internal interface of the system, so that the generation efficiency of the test data can be improved.

The invention discloses a test data generation method and device, equipment, a storage medium and a product, and relates to the technical field of test data generation, and the test data generation method comprises the following steps: obtaining a natural language demand input by a user, and carrying out semantic analysis on the natural language demand to obtain initial key information; optimizing the initial key information through multiple rounds of conversations to obtain optimized target key information; based on the target key information, determining a data creation process, and executing the data creation process to obtain a to-be-executed data creation code; and executing the to-be-executed data generation code, calling basic data of different platforms, and generating test data. According to the method, a tester does not need to manually carry out cross-platform operation, so that the test data generation efficiency is improved.

The invention provides a radio frequency transceiver testing device, which comprises a testing clamp used for being connected with a radio frequency transceiver to be tested; the test control assembly is connected with the test fixture and is used for sending first control data to the test fixture, so that the radio frequency transceiver to be tested operates based on the first control data; the test assembly is connected with the test fixture and the test control assembly, so as to detect the to-be-tested radio frequency transceiver connected with the test fixture based on second control data sent by the test control assembly; wherein the test assembly sends the received test data of the radio frequency transceiver to be tested to the test control assembly, and the test control assembly generates a test result based on the test data. According to the test fixture, the radio frequency transceiver to be tested is connected with the test assembly and the test control assembly, so that the radio frequency transceiver to be tested can be conveniently connected with the test assembly and the test control assembly, and the test efficiency can be improved.

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

The invention provides a test data generation method, a program product, electronic equipment and a storage medium. The method comprises the following steps: acquiring request data, aiming at a target function, of a user on a tested system and response data corresponding to the request data; the request data comprises a request field; the response data comprises a response field; comparing the request data with the response data, and determining an interface field mapping relation of the tested system; the interface field mapping relation is used for describing a corresponding relation between a response field of the tested system and a request field used for generating response data; obtaining configuration list data of the tested system, and converting the configuration list data of the tested system into test request data for the target function based on the interface field mapping relation; wherein the configuration list data comprises at least one piece of data expressed in the format of the response data. The process of independent development and data configuration for automatic testing is omitted, and the efficiency of automatic testing is improved.

The application discloses a test data generation method and device, equipment and a storage medium. The test data generation method comprises the following steps: obtaining a plurality of target record contents from a test data rule table, each target record content comprising a field type, data source information, test data generation rule information corresponding to the data source, and a record number; for each target record content, generating a test data table based on the data source information, the test data generation rule information, the record number, and a first table generated based on the field type; and finally, combining a plurality of test data tables based on the association relationship between the physical primary keys and the physical foreign keys of the plurality of database tables to obtain test data. According to the embodiment of the application, the test data is generated, the test data is rich in dimensions, the association relationship between the data is complete, and conforms to the real law.

The embodiment of the invention provides a test data generation method and device, equipment, a storage medium and a program product, and relates to the field of financial science and technology. The method comprises the steps of obtaining a target data mode of a to-be-tested service; based on the target data pattern, constructing a dependency relationship graph corresponding to the target data pattern, the dependency relationship graph being used for representing a dependency relationship between entities and a dependency relationship between fields in the target data pattern; based on the dependency graph, a field generation sequence is obtained, and the field generation sequence meets the dependency of all the fields; and based on the field generation sequence, traversing the dependency graph, and generating a target test data set corresponding to the to-be-tested service. The method provided by the invention covers the test data generation requirement in a complex business scene, can adapt to the complex business scene, solves the defects in dependency relationship processing and one-to-many data generation in the prior art, remarkably improves the quality and the automation degree of the test data, and improves the development and test efficiency of business software.

The embodiment of the invention discloses a test data generation method and device, electronic equipment and a storage medium. According to the embodiment of the invention, a script file can be generated based on configuration information defined by a user; the configuration information at least comprises data fields, logic relations among the fields and data distribution; generating simulated structured test data based on the script file; based on the structured test data, generating an SQL script conforming to the grammar of the target database; and executing the SQL script in the target database to obtain test data. Therefore, through the end-to-end automatic process of configuration, script generation, data generation, SQL conversion and database execution, an automatic assembly line from parameter definition to data landing is formed, the generation efficiency of the test data is remarkably improved, and high-quality test data can be provided for subsequent software testing.

The invention provides a test data generation method and device, and is suitable for the technical field of data processing, and the method comprises the steps: generating primary test parameter population individuals according to product test demand information, product attribute information and test environment interference monitoring information; according to the product test demand information, the product attribute information, the test environment interference monitoring information and the product test precision calculation weight information, obtaining primary test parameter population individual precision information; performing selection processing on the primary test parameter population individuals according to the precision information of the primary test parameter population individuals, and generating secondary test parameter population individuals; and performing crossover variation and iterative calculation on the test parameter population individuals of the generation to obtain target test parameter configuration information, so as to analyze and calculate the to-be-tested product information and generate test data information. According to the invention, the adaptability of test parameters and the accuracy of test results are effectively improved, and test errors are greatly reduced, so that the accuracy and effectiveness of test data are improved.

Disclosed herein is a training and deployment framework for a machine learning based recommendation system. In one aspect, a computer-implement method is provided for synthesizing training and testing data and using the training and testing data to generate a machine learning model. The computer-implement method includes deriving product ratings for products, the product ratings being stored in a user product score table in association with identifiers for users and the products, sampling the user product score table to generate a training and testing data set, training, using the training data set, machine learning models for a task of predicting product ratings, evaluating, using the testing data set, performance of the machine learning models, selecting one of the machine learning models for production use in predicting product ratings based on the evaluating, and predicting, using the selected machine learning model, new product ratings for the products.

The application discloses a thyristor control unit test system and method, and belongs to the field of power system testing. The method comprises the following steps: deciding test execution parameters of a debugging instrument based on acquired parameter information of a thyristor control unit; generating analog quantity input for thyristor control unit test through a program-controlled source based on the test execution parameters of the debugging instrument; and performing thyristor control unit test through the debugging instrument and a power load plug-in based on the analog quantity input; wherein the thyristor control unit test comprises forward normal trigger characteristic test and on-state protection and reverse recovery characteristic test; and when the thyristor control unit test is performed, test data of the thyristor control unit collected by the debugging instrument is used to generate a thyristor control unit test result. The application can realize automatic test of the thyristor control unit, and the test is efficient and convenient, and can be applied to in-plant single-plug production batch test.

The invention provides a vehicle-mounted remote information processor testing method, device and equipment, a medium and a product. In the method, after a first loopback request corresponding to each piece of first test data is generated, the first loopback request is sent to a vehicle-mounted T-BOX at the same time. After first verification data sent by the vehicle-mounted T-BOX is received, a test report is generated according to the first loopback data, the packet loss rate, the CPU utilization rate and the task stack utilization rate in the first verification data, the number of the first test data and the first test data, and the test report comprises a first test identifier indicating whether the pressure test passes or not; and a second test identifier indicating whether the data transmission integrity test is passed. According to the scheme, the first loopback request is sent to the vehicle-mounted T-BOX at the same time, and the test report is generated according to the first verification data and the first test data, so that the pressure test and the data transmission integrity test of the T-BOX are realized, and the vehicle safety is improved.

This invention provides a method for automatic test case generation and requirement verification based on SysML activity diagrams, comprising the following steps: S1, requirement formalization and simulation verification; S2, SysML activity diagram structure analysis; S3, SysML activity diagram modularization; S4, test path generation; S5, test data generation; S6, test case generation. This invention also provides a readable storage medium. The beneficial effects of this invention are: it provides a method and readable storage medium for automatic test case generation and requirement verification based on SysML activity diagrams, effectively filling the gaps in current modeling software support for MBT and requirement verification, forming a highly automated, versatile method capable of supporting the generation and optimization of test cases for complex activity diagrams, verifying whether the model design correctly reflects user needs, improving system security and reliability, and reducing modeling and testing costs.

The invention relates to the technical field of software testing, in particular to a software testing data generation method and system based on a multi-chain doliolaria goblaria swarm algorithm, and the method comprises the steps: initializing a population; randomly generating an initial population, and randomly dividing the population into a plurality of sub-chains; performing fitness sorting on individuals in each sub-chain, and dynamically adjusting the proportion of a leader to a follower in the population; updating the position of each sub-chain leader, and obtaining the actual fitness value of the updated leader individual by actually executing an instrumentation program; updating the position of the follower in the sub-chain based on the adaptive inertia factor, and predicting the fitness value of the updated follower individual by using a support vector machine regression model; updating the optimal fitness value and the corresponding position of each sub-chain and the whole population; and judging whether the current iteration reaches the maximum number of iterations or the solving precision requirement. According to the method, the efficiency and coverage rate of software test data generation are remarkably improved, and the calculation overhead is effectively reduced.