325 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 discloses a visual test analysis method and system applied to a mobile phone display screen. The method comprises the following steps: constructing a test scheme database, acquiring specification information of a display screen to be tested, formulating a test scheme according to the specification information of the display screen to be tested, and testing according to the formulated test scheme to acquire test monitoring information; based on the test monitoring information, analyzing a visual test index when the target display screen to be tested is subjected to a visual test to obtain visual test index analysis information, and performing visual quality evaluation according to the visual test index analysis information to judge whether a display standard is met or not; and if the target to-be-tested display screen meets the display standard, performing visual comfort evaluation on the target to-be-tested display screen, judging whether the preset display control parameters need to be optimized or not according to a visual comfort evaluation result, and generating a control parameter optimization scheme. And the comprehensiveness of visual testing and the display comfort of the mobile phone display screen are improved, so that the mobile phone display screen can be adjusted more comprehensively.

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.

The invention provides a network penetration testing method and system based on state feedback, and belongs to the field of computer security detection.The method comprises the steps that vulnerability information is collected, and a vulnerability database is constructed; performing vulnerability attribute identification according to the vulnerability database, and matching penetration test conditions based on an identification result; matching the penetration test condition with a preset penetration test condition template for the target environment through LLM, if matching succeeds, judging that the target environment meets a vulnerability utilization condition, selecting a test condition meeting the vulnerability, and starting a corresponding penetration test process; executing a penetration test according to the generated test plan by using a state machine, and judging the test effect and the accuracy of state conversion through a feedback mechanism; and according to test feedback, the rule or condition template in the matching process is further optimized. The method does not need to preset a large number of rules and test cases to match the state, and can judge the test effect and the accuracy of state conversion through a feedback mechanism.

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.

Example embodiments of the present disclosure are related to artificial intelligence / machine learning (AI / ML) model test. A first apparatus transmits test configuration information to a second apparatus, the test configuration information indicating a test mode of an AI / ML model with respect to at least one transmission and reception unit (TRP), the at least one TRP being arranged within an environment based on a test plan for at least one test channel indicator. The first apparatus receives, from the second apparatus, at least one predicted channel indicator for the at least one TRP, the at least one predicted channel indicator being derived by the second apparatus using the AI / ML model. The first apparatus determines a test result for the AI / ML model based on a comparison between the at least one predicted channel indicator and the at least one test channel indicator, the test result indicating whether the AI / ML model is validated.

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 discloses a method for automatically testing an interface based on RPA. The method comprises the following steps: making a test plan; building a test framework; compiling a test script; performing integrated testing; executing the test script; analyzing a test result; and maintaining the test script. Based on an RPA tool, through a graphical interface and predefined operation, a tester can create an automatic test script without writing any code, and the tester can define a complex test process only through simple dragging, clicking and configuration; an RPA tool is generally designed to be visual and easy to use, even a tester without any programming experience can quickly master the RPA tool, and the tester can master the basic skill of automatic testing through simple training and practice; the RPA has a unique verification mode for the login system needing to be verified, targeted system verification can be carried out, and the login interface can obtain the token conveniently.

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 software test management system and a test method.The system comprises a project management module, a demand management module, a test submission management module, a use case management module, a test execution module and a defect management module, when software testing is carried out, a project administrator creates a software test project, and a research and development party newly adds a test submission demand; the test party designs a test case, executes a test plan, records the execution state of the test case and submits a test problem list according to the test requirement, the research and development party processes the test problem according to the test problem list, and the research and development party and the test party jointly complete the software test. The software test management system has good expandability, standard management is provided for the test process, research and development parties approve and test demand information through test parties, the standardization is good, and problems can be found more quickly; and unified management of test data provides a data source for subsequent multiplexing and analysis.

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.

A use method of the test device for simulating ion erosion of the PCCP protective layer comprises the following steps: S1, region division: selecting a test object, and firstly dividing the test object into four regions, namely a region I, a region II, a region III and a region IV; dividing each subarea into three test areas, namely a test area A, a test area B and a test area C; s2, making a test plan: executing sulfate ion erosion comparison in a partition I, executing chloride ion erosion comparison in a partition II, executing protective measure comparison in a partition III, and executing a mixed comparison test in a partition IV; s3, making a comparison scheme; s4, making a dry-wet cycle scheme; s5, preparing test conditions; s6, liquid filling is executed; s7, executing a dry-wet cycle; s8, judging whether the dry-wet cycle needs to be ended or not: if Seq is equal to L, ending the dry-wet cycle, and continuing S9; otherwise, indicating that all times of dry-wet cycle treatment is not completed, and returning to S6; s9, extracting a sample; and S10, analyzing a result.

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.

Example embodiments of the present disclosure relate to artificial intelligence / machine learning (AI / ML) model testing. And the first device sends test configuration information to the second device. The test configuration information indicates a test mode of an AI / ML model with respect to at least one transmit and receive unit (TRP). The at least one TRP is arranged within the environment based on a test plan for the at least one test channel indicator. The first device receives, from the second device, at least one predicted channel indicator for the at least one TRP. The at least one predicted channel indicator is derived by the second device using an AI / ML model. The first device determines a test result of the AI / ML model based on a comparison between the at least one predicted channel indicator and the at least one test channel indicator. The test result indicates whether the AI / ML model is verified.

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 invention relates to the technical field of power grid safety and stability control system testing, in particular to a safety and stability control device simulation testing system and method. The system comprises a test scheme design module used for generating a test scheme according to configuration and sending the test scheme to an automatic test control center; the automatic test control center is used for calling the tester interface module according to the test scheme and simultaneously driving each simulation test device; the simulation test equipment is used for sending a plurality of synchronously output analog quantities to the safety and stability control device connected with the simulation test equipment; the safety and stability control device is used for generating test data according to the analog quantity; test data is sent to the automatic test control center through the simulation test device and the tester interface module in sequence, and the automatic test control center generates a test report according to a test scheme and the summarized test data. According to the invention, test schemes of stability control systems of various scales are flexibly formulated, the test cost is reduced, the test efficiency is improved, and the workload of testers is reduced.

Media plan generation systems and methods for TV advertising are disclosed. Embodiments of these systems and methods are adapted to generate a media plan comprising a core plan and a test plan. The core plan may be produced based on historical models regarding historical performance of an entity's media while the test plan may be produced based on a predictive model of media performance.

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 software development and testing, and discloses an automatic testing integrated system in a software development process, which comprises a testing management module used for formulating a testing plan, designing a testing case and managing testing execution; the automatic testing module is used for integrating and executing unit testing, function testing, regression testing, performance testing and safety testing; the continuous integration and continuous delivery module is used for automatically constructing, testing and deploying the process; the environment management module is used for configuring, simulating and virtualizing a test environment; and a reporting and analysis module. Various testing tools such as unit testing, function testing, regression testing, performance testing and safety testing are integrated into one system, so that the problems of diversity and integration difficulty of the testing tools are effectively solved. Different types of testing tools are managed and coordinated in a unified mode, the complexity of the testing process and the compatibility problem between the tools are reduced, and the testing efficiency is improved.