240 results about "Test plan" patented technology

The invention relates to the technical field of wiring terminals, in particular to an intelligent testing method and system for the contact resistance of a wiring terminal, and the method comprises the following steps: adjusting the resistance testing frequency according to the environment temperature to adapt to different conditions, combining current and voltage data, analyzing the historical change trend of the resistance, predicting the potential change range, and obtaining the contact resistance of the wiring terminal through the current and voltage data. Evaluating the mutual influence with the resistor, judging the abnormal reason of the resistor, adjusting a test scheme according to fault diagnosis, predicting potential faults, and making a test plan. According to the invention, through environment induction and data analysis, the resistance test frequency is adjusted in real time to adapt to environment change, so that the resistance measurement in the test process is more sensitive and accurate, the response speed and data quality of the test process are improved, historical and current resistance data are automatically analyzed, potential faults can be effectively predicted and identified, and the test efficiency is improved. Problems caused by operation errors are reduced, and a prospective fault prediction function enables the adjustment of the test period to be more scientific.

The invention relates to an efficient test optimization method, system and device for chip test equipment, and the method comprises the steps: obtaining the equipment state data and test management information of the chip test equipment, carrying out the test unit division of the equipment state data based on the test management information, and obtaining the regional test information; acquiring real-time operation data of the chip test equipment, and performing matching analysis on the real-time operation data and the regional test information to obtain a real-time test task group; acquiring chip performance data acquired by the chip test equipment, performing load prediction on the regional test information to obtain a test load trend, and performing resource planning analysis with a real-time test task group to obtain an initial test scheme; performing exception identification on the chip performance data to obtain chip exception information; and performing global optimization on the initial test scheme according to the priority test sequence to obtain a global test strategy. According to the invention, fine management of different test tasks can be realized.

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.

Embodiments of the present invention provide a code reconstruction method and system, a computing device, a storage medium and a program product wherein the code reconstruction method comprises: performing code analysis on a to-be-reconstructed initial code to generate a target reconstruction scheme wherein the target reconstruction scheme comprises a code reconstruction plan and a code test plan; the code reconstruction plan comprises a function dependency relationship of the target code; analyzing a function dependency relationship in the code reconstruction plan, and generating at least two code reconstruction tasks corresponding to the initial code; executing the at least two code reconstruction tasks in sequence to obtain each initial code snippet, and iteratively optimizing each initial code snippet through static analysis and dynamic verification until candidate code snippets conforming to a function dependency relationship are generated; and compiling a test case of each candidate code snippet based on the code test plan, and testing each candidate code snippet based on each test case to obtain a plurality of target code snippets conforming to the function dependency relationship. And the coherence and the consistency of the reconstructed codes are ensured.

The invention discloses a power supply integrity automatic test system based on multi-parameter intelligent cooperation, and belongs to the technical field of power supply test. Automatically identifying a power supply type through a power supply type identification and configuration module, and calling preset test parameters from a database to generate a test scheme; the method comprises the following steps: synchronously acquiring multi-modal data output by a power supply through a multi-parameter acquisition module, wherein the multi-modal data comprises test parameters of various power supplies; performing standardized scoring on each test parameter of the power supply through an intelligent scoring module; constructing a three-dimensional incidence matrix through an automatic evaluation module, dynamically adjusting the weight of each graded test parameter, and calculating an evaluation index of the power supply integrity; feedback information is generated through a feedback module, and a visual report of the power supply integrity test is generated according to the visual template; through mutual cooperation of the modules, automation of power supply integrity testing is realized, manpower is saved, and evaluation objectivity is improved.

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 discloses a visual automobile electromagnetic compatibility radiation anti-interference test method, device and equipment, and relates to the technical field of vehicle testing, and the method comprises the steps: collecting the radiation anti-interference test data of automobile electronic equipment from a plurality of test equipment in real time through a data collection layer, and transmitting the data to a data processing layer; cleaning, analysis and feature extraction are carried out on the data in the data processing layer to obtain key indexes, and the key indexes comprise the maximum radiation value and the standard exceeding frequency number; inputting the key indexes into a visual display layer, and displaying the distribution, ranking and trend of test results of different vehicle enterprises and vehicle types in the forms of maps, histograms and line diagrams; the key index is monitored in real time based on a preset threshold value, an alarm signal is triggered when the key index exceeds the preset threshold value, and early warning prompt information is generated; and a test scheme is optimized according to the alarm signal and the early warning prompt information, and test parameters of the data acquisition layer are dynamically adjusted.

The invention discloses a distributed testing method and system based on micro-service architecture. The method comprises the steps of generating a test task and a fault injection task according to a test plan; distributing each test case to a plurality of test agents according to the test task, so that the plurality of test agents respectively execute the corresponding test cases, and the plurality of test agents and the plurality of micro-service instances of the tested system run on a plurality of service nodes in a one-to-one manner; injecting a corresponding fault in an execution environment of the tested system according to the fault injection task; and collecting and summarizing log data related to the test, and outputting a test result and the influence of the fault on the test result according to the log data. According to the embodiment of the invention, a complete test process from test plan generation to test result analysis of the tested system is supported, high cooperation of fault injection and test execution is realized through accurate control of fault injection, and meanwhile, the distributed test system constructed based on the micro-service architecture can be adaptively expanded according to the scale of the tested system.

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.

The invention discloses an FCT security collaborative scheduling method and system based on full-link data fusion, and relates to the technical field of data processing and cloud computing, and the method comprises the steps: a cloud data platform analyzes items and instruction sequences of a yield measurement plan; issuing to the FCT client to match an execution engine sequence; testing the production test items in sequence, verifying the signal reference safety through encryption verification, and generating a result; if yes, storing the log and executing the next item; if not, storing the log, analyzing window backtracking data to determine abnormity, and scheduling an execution engine. The technical problems that in factory data scheduling, management isolation is insufficient, a signal reference lacks a safety cooperation protection mechanism in the production and measurement process, tampering is prone to occurring, data are mixed, and safety is not up to the standard are solved, and the purposes of achieving differentiated management of factory data and tampering prevention and control of the signal reference through the safety cooperation mechanism and improving the safety of factory data are achieved. And a full-link data scheduling optimization test process is combined, so that the technical effects of data security, management isolation and enterprise compliance are improved.

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.

An example computing platform is configured to identify a subset of source code files for a modular software application that have changed. The computing platform further creates a dynamic test plan comprising a targeted subset of available software tests by (i) obtaining a dependency map that identifies various dependency relationships between the software application's modules, (ii) based on the dependency map, generating an impact map that identifies various impact relationships between the software application's modules, (iii) based on the impact map, generate a test map that identifies various tests that correspond to the software application's modules, and (iv) select the targeted subset of available software tests based on the test map and the identified subset of source code files. Finally, the computing platform executes the dynamic test plan comprising the targeted subset of available tests.

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.

The invention discloses a cloud collaborative Beidou short message communication test method and system, and belongs to the technical field of satellite navigation and satellite communication. The method comprises the following steps: connecting a plurality of Beidou short message PPP-RTK positioning devices, and converting a message data format; formulating a user test plan, and performing Beidou communication test of the test plan based on the positioning equipment spatio-temporal information; performing visual display on the Beidou communication test plan state; carrying out visual display according to a Beidou communication test result, and establishing a test database; and outputting the customized Beidou short message communication test report. According to the invention, the automatic and few-person PPP-RTK satellite-based enhanced positioning test based on the Beidou short message is realized, and the PPP-RTK service efficiency of Beidou short message communication is fully evaluated.

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.