173 results about "Test plan" patented technology

The invention provides a DFT test task management method and device, electronic equipment and a storage medium, and belongs to the technical field of chip design verifier.The DFT test task management method comprises the steps that a data model is constructed on the basis of a design module list and a test step list, the data model is used for indicating testability design DFT test steps of all design modules, and the test steps of all the design modules are stored in the test step list; the data model comprises a plurality of DFT test tasks, attributes of each DFT test task comprise a selection state, and the selection state comprises a selected state and a non-selected state; based on the interactive input, determining at least one DFT test task of which the selection state is selected as an executable DFT regression object; and according to the DFT regression object, driving a DFT test task to be executed. According to the method, the DFT test tasks are normalized through the data model, only the DFT test tasks need to be selected for making the test plan, efficient management of the DFT test tasks is achieved, and the regression test efficiency is improved.

A method for planning and executing a test of a DUT includes receiving a test description from a user via a GUI, where the test description identifies the DUT and an objective of the test; composing a prompt for querying a large language model (LLM) based on the test description, where LLM includes a trained machine learning algorithm; sending the prompt to the LLM via an API; determining, using the LLM, a test plan for executing the test to be performed in response to the prompt to achieve the objective of the test based on the test description and general testing information, where the test plan identifies a type of test, test instruments for performing the test, a test procedure using the instrument, and parameters of the DUT to be measured according to the test procedure; providing, via the GUI, the test plan to the user for testing the DUT.

A vehicle software release management system enables receipt of a vehicle software package and an associated test plan to generate a versioned software artifact set. The vehicle software release management system may initiate a workflow to manage testing, certification, and deployment of the software package based on the versioned software artifact set. The vehicle software release management system may facilitate testing of the vehicle software package, including generating test scripts and configuring the testing environment according to test configurations. The vehicle software release management system may facilitate certification of the vehicle software package according to the versioned software artifact set and manage the deployment / rollback to software package destinations.

The invention provides an aero-engine test whole-process business management method and system, and belongs to the technical field of whole-process business management, and the method comprises the steps: extracting information in a test item information document and a tester information document, and determining structured data; on the basis of the structured data, forming an initial test plan, performing test personnel allocation optimization on the initial test plan, and determining a target test plan; generating a target test card on the basis of the target test plan, and continuously updating the target test card by adopting an editable block chain according to the data in the test process until the test is finished; and after the test is finished, the operation authority of the target test card is removed, and non-tampered and decentralized aero-engine test whole-process business data is formed. The information utilization efficiency of each link is effectively improved, the distribution rationality of testers is improved, and the safe storage of test data is ensured.

The invention discloses a one-key performance test method, medium and equipment based on JMeter and template configuration, and the method comprises the steps: obtaining a parameterized performance test template from a template configuration center in response to a test instruction, injecting runtime parameters through a template engine, and generating an executable JMeter test plan; parsing the plan to identify a load pressure demand, thereby dynamically scheduling resources from a distributed load injector cluster and distributing a test plan; uniformly triggering test execution on the cluster, and synchronously acquiring a performance data stream from the JMeter and a resource data stream of the tested system; and finally, timestamp alignment and fusion are carried out on the two types of data streams, intelligent diagnosis is carried out on a formed monitoring data set based on a diagnosis rule base or an intelligent analysis model, and a visual test report containing bottleneck positioning, resource association and link tracking analysis results is generated. According to the invention, full-process automation and intelligentization of performance testing are realized, and the testing efficiency is remarkably improved.

The invention relates to the technical field of charging management, and discloses an intelligent charging method and system based on a charging pile, and the method comprises the steps: collecting an identifier of a charging object connected with the charging pile, calling the historical charging data and safety evaluation information, obtaining a user charging instruction, and combining with a charging pile performance evaluation model, performing gradient analysis on the charging instruction to generate a test plan and a subsequent plan, performing testable charging according to the test plan, collecting test data to construct a test information flow, analyzing the test information flow to form a feedback factor matrix, obtaining guide information in combination with safety evaluation information, and substituting the guide information into the subsequent plan to realize final stable charging operation. According to the method, by introducing multi-dimensional data analysis and gradient control, a personalized and dynamic charging strategy is realized, the charging efficiency and safety are improved, the service life of the battery is prolonged, the risks of overcharging, overheating and the like are reduced, and the problem that in the prior art, a charging pile lacks individual difference adjustment of a charging object is solved.

The invention relates to a storage test vector generation method and device, equipment and a storage medium, and is applied to the field of semiconductor testing, and the method comprises the steps: obtaining a chip manual and a chip test plan of a to-be-tested chip, and generating a chip description file according to the chip manual and the chip test plan; carrying out abstract processing according to the chip description file, and generating a chip abstract model; converting test logic in a test algorithm into a test sequence according to the chip abstract model; and obtaining a target file format requirement of a target ATE equipment platform, and converting the test sequence according to the target file format requirement to generate a storage test vector. The method has the technical effects that the reusability of cross-platform use of the test vector is improved, the test development efficiency is improved, and the time is saved.

The invention provides a test case generation and test method and device, equipment and a storage medium, relates to the technical field of software testing, and aims to understand logics and requirements of different software systems and automatically generate adaptive test cases. According to the specific technical scheme, a test task request is received; determining a target agent from the plurality of agents through a priority strategy, a load strategy, a capability matching strategy and an adaptive strategy between the test task and the plurality of agents; obtaining a source code, a business requirement document and a historical test case of the software system associated with the test task through the target agent; reasoning and planning by using a large language model through the target agent based on the source code of the software system associated with the test task, the business demand document and the historical test case, determining a test plan, and generating a test case; and running the generated test case through the target agent according to the test plan, and generating a test result and defect information.

Aspects of the subject disclosure may include, for example, obtaining first information indicative of function(s) that a software application is designed to be capable of performing; obtaining second information indicative of acceptance criteria that define whether the software application has performed the function(s); generating (based upon the first and second information) a first prompt configured for input to a generative artificial intelligence (AI) mechanism; inputting the first prompt to the generative AI mechanism; receiving at least one test plan that was generated by the generative AI mechanism; and facilitating execution of the software application based upon the test plan. Other embodiments are disclosed.

The invention belongs to the technical field of power distribution equipment monitoring, and relates to an intelligent power distribution equipment monitoring and fault early warning system and method, and the system comprises an acquisition unit which is used for obtaining an electric parameter, an environment parameter and an operation state quantity of power distribution equipment and forming time synchronization feature data; the topology unit is used for generating a local topology model according to the relation between the cabinet, the loop and the busbar and outputting topology attributes; the evaluation unit is used for generating an operation state evaluation result based on the feature data and the topological attributes and updating an early warning threshold value; the governance unit is used for performing deduplication, suppression and credibility calculation on the alarm to form a disposal level; the interlocking control unit is used for checking and outputting a control action when the disposal level meets an interlocking condition; and the operation and maintenance unit is used for generating a preventive test plan and updating parameters based on a test result. According to the technical scheme of the invention, topological association and threshold update are introduced into monitoring, evaluation, disposal and control links, so that state recognition and control execution are kept consistent.

The invention provides a ground test project clipping method oriented to the severity level of a satellite fault, and by clipping a ground test project, compared with an existing test project clipping method, the ground test project clipping method has the main advantages that: (1) faults with different severity levels can be fully screened through the test project clipping method, and the test project clipping method can be applied to the field of satellite fault severity levels; the risk of in-orbit operation of the spacecraft is reduced; and (3) through the test item clipping method, the number and severity of satellite faults can be comprehensively screened by considering different requirements of different satellites on reliability, so that the test scheme is more practical, and satellite purchasers or customers are more satisfactory.

The embodiment of the invention provides a performance test method and system, and the method comprises the steps: packaging a to-be-tested interface into an executable test unit, and constructing a test scheme based on the test unit; triggering a performance test based on the test scheme, and collecting system resource occupation data in a test process in real time; performing association analysis on the system resource occupation data and test result data of the performance test to obtain a comprehensive evaluation result; and generating a test report according to the comprehensive evaluation result. According to the embodiment of the invention, not only are the defects of the traditional method in efficiency and accuracy solved, but also the requirements on high-concurrency test and accurate performance evaluation in a complex test scene are met, and remarkable technical progress is shown.

A method for developing a testing plan for API endpoints including: ingesting source code of the API for which the security findings were found; conducting or importing static analysis on the ingested source code and returning static analysis API inventory; ingesting a runtime API inventory from a runtime traffic inspection of network traffic to the API endpoints; extracting a set of features from the static analysis API inventory; extracting a set of features from the runtime API inventory; comparing features from the set of features from the static analysis API inventory with features from the set of features from the runtime API inventory; outputting matched pairs of runtime API inventory and static analysis API inventory; and generating a runtime testing plan based on the runtime API inventory augmented with the static API inventory.

The invention relates to the technical field of server testing, in particular to a server multi-core computing processor load optimization testing method, device and equipment and a medium, and the method comprises the following steps: automatically identifying hardware configuration information of a server; generating a multi-dimensional pressure test plan based on the hardware configuration information; executing the test plan, and monitoring the load rate, the memory bandwidth, the cache hit rate and the I / O performance index of each CPU core in real time; dynamically adjusting a task allocation strategy based on a set load difference threshold to realize task dynamic optimization, and if the difference between the maximum core load rate and the minimum core load rate is monitored to exceed the threshold, triggering a task migration operation; system performance data are collected again, performance indexes before and after optimization are compared and analyzed, and system performance bottlenecks are recognized; and automatically generating a performance test report. The utilization rate and the overall task throughput of the multi-core processor are improved, and the problem that a static task allocation strategy is difficult to adapt to dynamic load changes is solved.

The invention provides an API (Application Program Interface) intelligent testing method based on context awareness, which relates to the technical field of software testing and comprises the following steps of: constructing a system context corpus by loading structured data such as an API document and a parameter dependency table and unstructured data such as a business rule and a user manual; according to a natural language test target input by a user, a test plan including a calling sequence, parameter dependence and state change is generated in combination with a context, an API calling sequence of state perception is further generated, parameters are subjected to intelligent fuzzification processing, and a test load is formed. Executing the load, capturing response, analyzing and identifying vulnerabilities or abnormities, dynamically adjusting a test strategy based on a result, forming closed-loop feedback, iteratively executing until a termination condition is met, and finally outputting a test report.

The invention discloses a model training method and device, and the method comprises the steps: judging whether a target training model meets a model test condition or not according to a model test plan and the current training state of the target training model; if yes, copying the target training model to obtain at least one target test model; and performing model training on the target training model, performing asynchronous and parallel model testing on the target testing model, and judging whether the model training of the target training model is completed or not according to a model testing result. The resource utilization rate can be improved, and the model training efficiency is improved.

A system that automatically reduces test cycle time to save resources and developer time. The present system selects a subset of tests from a full test plan that should be selected for a particular test cycle, rather than running the entire test plan. The subset of tests is intelligently selected using metrics such as tests associated with changed code and new and modified tests.

1. The name of the design product: electronic device full-process test planning graphical user interface (aircraft engineering simulator). 2. The use of the design product: for electronic device on aircraft engineering simulator. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The electronic device display panel is a conventional design, and the rear view, left view, right view, bottom view and top view are omitted. 6. The use of the graphical user interface: the graphical user interface is a full-process test planning operation application interface for electronic device on aircraft engineering simulator. The front view is the main interface of Proof Planner software. The left navigation bar displays nine function modules, namely, test development tool, automatic test, data excitation, companion and backfill, exciter management, test automation tool, network performance monitoring, Pub_Sub test and ICMP / SNMP. The function interface view of the data excitation function module is directly highlighted. Click the companion and backfill function block in the left navigation bar of the front view to enter the interface change state diagram.

This invention relates to the field of nuclear safety equipment testing technology. It provides a method for optimizing parameters in accelerated reliability testing of nuclear safety-grade valves. The method involves the following steps: establishing a correlation model between accelerated stress and life parameters; calculating the acceleration factor and formulating an initial test plan; deriving the theoretical sample size based on the success-failure test method combined with confidence requirements; constructing an extended coefficient table using the range-extended test method to optimize test parameters; generating multiple accelerated test plans through chi-square distribution verification; eliminating plans that do not meet the life characteristic threshold; determining the optimal sample size, number of failures, and test cycle through comprehensive test cost and risk analysis; and finally outputting a complete test plan including the action interval time. This method solves the problems of limited test samples, insufficient failure data, low confidence levels, and difficulty in adapting accelerated models in existing high-reliability valve technologies.

The invention discloses a pressure test packet special management and control method, system and device and a storage medium, and the method comprises the following steps: 1, dividing a ship pipeline into a plurality of pressure test packets according to a pressure test packet naming rule and a pressure test packet division principle; step 2, based on the plurality of pressure test packets constructed in the step 1, performing pressure test packet drawing master edition; step 3, establishing a corresponding relation between the pressure test package drawing template edited in the step 2 and the three-dimensional model, and displaying each pressure test package node in the three-dimensional model; 4, aiming at each pressure test bag, making a test plan of each link; and step 5, setting a plurality of node terminals and a master control terminal, collecting and uploading test results of each test link of each pressure test packet to the master control terminal through each node terminal, and performing integrated display through the master control terminal. According to the invention, the large cruise ship pipeline is divided into a plurality of pressure test packets, and the data of the pressure test packets are integrated through the DSP system, so that digital flow management and control and real-time state tracking are realized.

The present disclosure relates to a computer-implemented method (300) for training a model for predicting a flow test of a well and a corresponding model for predicting a flow test of a well and a method (100) for determining a flow test plan. In addition, a computer-implemented method (400) for training a model for predicting saturation and pressure within a reservoir and a corresponding model for predicting saturation and pressure within a reservoir and a method (200) for determining a reservoir monitoring plan are disclosed. Finally, a corresponding computer program and data processing system (500) are disclosed.

There is provided an architecture, methods and a system for live testing in a production environment. The architecture comprises a platform independent Test Planner for generating a test package in response to receiving an event. Generating a test package comprises selecting test goals, generating a test suite and generating a test plan. The architecture comprises a platform dependent Test Execution Framework (TEF) for executing the test package in an environment serving live traffic. Executing the test package comprises initializing the test plan, starting the test plan and reporting the successful completion of the test plan, reporting the suspension of the test plan and waiting for further instructions, or reporting a failure of the test plan and executing a corresponding contingency plan.

The invention relates to the technical field of electronic design, in particular to a software testing method, computer equipment, a readable storage medium and a program product. According to the software testing method provided by the invention, the testing scheme is generated according to the code of the to-be-detected software through the testing strategy module, so that the pertinence is improved, and the resource consumption of the server is reduced. According to the test scheme, the metadata module and the execution module are utilized to create and run the test case, flexible configuration and automation of the test process are achieved, manpower and time cost is reduced, and efficiency and accuracy are improved. Meanwhile, through multi-level test result judgment of the judgment module, public test judgment and a test case exclusive judgment mode are combined, it is ensured that problems are exposed at the fastest speed, and the test efficiency is improved. The modularized testing process enables the method to have high expandability, new requirements can be met, it is ensured that the software quality is continuously and effectively evaluated, and the testing failure risk is reduced.

This application relates to a method, system, and storage medium for airtightness testing of a diaphragm accumulator, relating to the field of accumulator technology. The method includes acquiring preparation completion trigger information of the diaphragm accumulator; acquiring test plan information of the diaphragm accumulator based on the preparation completion trigger information; controlling a preset hydraulic system to perform a liquid filling test on the diaphragm accumulator according to the test plan information to determine pressure detection information; analyzing the pressure detection information and the test plan information to determine the liquid pressure information of the hydraulic system; determining whether the pressure detection information meets the requirements of the liquid pressure information; if it does not meet the requirements, issuing a warning according to a preset non-compliance warning message; if it meets the requirements, issuing a warning according to a preset compliance warning message. This application improves the accuracy of airtightness testing of diaphragm accumulators.

The invention discloses a test case generation method and device, a storage medium and electronic equipment, and relates to the technical field of automatic testing, and the method comprises the steps: determining a first feature vector through first log data of a storage system, and inputting the first feature vector into a target model, the target model outputs a classification result corresponding to the running state of the storage system based on the first feature vector, the classification result comprises a normal running state and abnormal running states of different abnormal types, and a first test case corresponding to the storage system is generated according to the classification result. That is to say, the classification result corresponding to the running state of the storage system is determined in a targeted manner in combination with the first log data, and then the first test case corresponding to the storage system is generated in a targeted manner according to different classification results. Through the method and the device, the problem that a targeted test case cannot be generated to test the storage system due to the fact that the test case in the related technology is developed on the basis of a set test plan can be solved.

The utility model discloses an intelligent control device test tool, which belongs to the technical field of switch cabinet control test and comprises a box body, the box body is provided with an input test part, an output test part, a high-voltage live display part, a communication output part, a device power supply part, a control device fixing part and a state display part, and the units are mutually independent. And various functions of intelligent control can be tested respectively. A wiring aviation plug and a terminal strip are arranged on the box body and used for being connected with a control device. According to the utility model, various functions of delivery control can be conveniently tested, and the delivery failure rate is reduced; the tool is small in size, small in occupied space, convenient to move and high in integration level, and different test schemes can be customized to meet the test requirements of different products and different functions. The tool adopts common components, adopts commercial power for power supply, is simple in energy consumption demand, safe and efficient, simplifies operation steps, has no special demand, can test the device anytime and anywhere, and improves the production efficiency.

The invention provides a test plan generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining historical test data of test cases in a test project, carrying out the risk prediction of the test cases through employing the historical test data, and obtaining a risk prediction result of each test case, determining a to-be-tested item and at least one target test case of the to-be-tested item, allocating an execution time period for the target test case according to a predetermined test resource and a sequence of risk prediction results of the target test case from a high risk to a low risk, and determining the to-be-tested item according to the target test case and the execution time period of the target test case. And generating a test plan of the to-be-tested project. According to the method, objective historical test data are combined, the risk degree of the test case is quantitatively analyzed, and test resource scheduling is converted into discrete execution time period allocation, so that the execution sequence and the execution time period of the test case are dynamically adjusted, and an effective test plan is automatically generated.

A rapid iteration test method based on a PLM system comprises the steps that firstly, the system is divided into a functional module and a non-functional module according to the core service process of the PLM system to be tested, functional domain decoupling is conducted on the functional module, and a plurality of independent test modules are obtained; 2, respectively making test plans for the independent test modules and the non-functional modules, and distributing test resources for the independent test modules; 3, compiling a test case according to the test plan; 4, compiling a test script according to the test case, and constructing a continuous automatic test chain; 5, deploying a test environment, continuously and automatically testing the test case in the script by the test chain, and generating a structured test report; and 6, analyzing the test report, and ending the test when the passing rate of the test case meets the acceptance standard. Therefore, execution of the test case and feedback of the test result are automatically executed through the automatic test script, and the overall test efficiency is high.

The invention provides a batch test closed-loop system and method for SoC array server topology collaboration, belongs to the technical field of SoC array server production test, and aims to solve the problems that in a traditional SoC array server test, operation is needed one by one, batch test is difficult, abnormity is not recorded, and machine type adaptation is prone to errors. According to the scheme, a batch test closed-loop system comprising eight modules including a front-end interaction module, a server management module and a task scheduling engine module is constructed, server information is obtained and configured in batches through the server management module, resource conflicts and fault diffusion are dynamically processed through the task scheduling engine, a test execution module asynchronously executes a customizable test plan, and the test efficiency is improved. The topology verification module verifies configuration in a cross-device mode, the exception processing module accurately processes exceptions, and the report generation and data archiving module completes result output and storage. According to the system, full-process collaborative control of the test is realized, the test systematicness and adaptability are improved, the server test reliability is guaranteed, and manual operation and configuration errors are reduced.

This invention discloses a method and system for automatically extrapolating dynamic test schemes based on one-click planning rules. In the test planning and design phase, based on preset one-click planning rules, a dynamic test scheme including test scenarios, test factors, and test samples is automatically generated, and automated rules and equipment action modes are configured for the simulation extrapolation process. In the test execution phase, according to the generated dynamic test scheme, simulation resources are automatically scheduled to execute the simulation extrapolation without human intervention. During the extrapolation process, based on the automated rules and equipment action modes, command issuance, autonomous equipment behavior response, data collection, and result evaluation are automatically completed, forming a fully automated simulation extrapolation closed loop. This invention enables a top-down automated process, forming a complete solution for the entire process of automated simulation extrapolation in the "human-in-the-loop" environment, helping users solve various problems encountered in the construction of current "human-in-the-loop" simulation models.