50 results about "Acceptance testing" patented technology

The invention relates to a financial credit creation system architecture deployment method, which comprises the following steps: S1, investigating the current situation, and determining the existing system architecture, business process and technology stack of a financial institution; s2, planning and designing, wherein model selection and configuration are carried out around a host platform, a cloud platform, middleware, a database and related key components; s3, development testing, including demand analysis, design, coding and self-testing, a testing stage including unit testing, integration testing, system testing, acceptance testing and regression testing; s4, platform construction; s5, migration implementation; and S6, operation and maintenance operation. Through the systematic deployment method, the problems of high security risk, high maintenance cost, poor autonomous controllability and the like of the existing financial credit and credential system are effectively solved, and efficient, safe, autonomous and controllable technical support is provided for digital transformation of financial institutions.

The invention provides a model training method, device and equipment applied to a wafer-level acceptable test. The method comprises the following steps: acquiring historical measurement data of a preset point location on a wafer; the historical measurement data comprises historical online measurement values and wafer-level acceptable test data; according to the historical online measurement value, determining online measurement value image data in the historical time, and according to the historical wafer-level acceptable test data, determining image data of the wafer-level acceptable test data in the historical time; the image data of the online measurement values represent the online measurement values of all the position points, and the image data of the wafer-level acceptable test data represent the wafer-level acceptable test data of all the position points; inputting the image data of the online measurement value into the initial model to obtain an output image; outputting prediction data of the wafer-level acceptable test data of all position points on the output image representing the wafer; and if the output image meets the training completion condition, obtaining a prediction model of the wafer-level acceptable test data.

A method implements application lifecycle management. A progress bar is presented, by an intake application executing on a processor, with state information of a developed application. Marketing information corresponding to the developed application is validated by the intake application. Licensing information is validated corresponding to the developed application. The developed application is validated with a deployment test corresponding to an application platform of the developed application. The developed application is validated with an acceptance test responsive to updating the state information with validation of the licensing information and validation with the deployment test. The validation information, the state information, and the progress bar are updated in response to validating the developed application with an acceptance test. A publication request is generated responsive to updating the state information with validation of the developed application with the acceptance test and validation of the marketing information.

The invention discloses an automatic test script acceptance method and device and a storage medium. The method comprises the steps that an automatic test script to be accepted is acquired; deploying the automated test script in a plurality of script execution environments, and performing acceptance test on the automated test script in each script execution environment to obtain configuration files before and after execution of the automated test script; and under the condition that the automatic test script passes the execution and the configuration files before and after the execution of the automatic test script are consistent, determining that the automatic test script passes the acceptance. According to the method and the device, the quality of the automated test script after passing the acceptance check is improved, and the situation of script errors in the test process is avoided, so that the software system test efficiency is improved.

The invention provides a test structure of a three-dimensional MIM capacitor and a preparation method and test method thereof, the test structure of the three-dimensional MIM capacitor comprises a first interconnection layer, a first isolation layer, a first electrode layer, a capacitor dielectric layer, a second electrode layer, a second isolation layer, a conductive plug and a second interconnection layer, the first interconnection layer comprises a latticed first conductive wire, and the second interconnection layer comprises a latticed second conductive wire. And the second interconnection layer comprises a latticed second conductive wire, and the second conductive wire is electrically connected with the second electrode layer through a conductive plug, so that the internal process and performance of the three-dimensional MIM capacitor product are monitored, and the accuracy of a wafer acceptability test (WAT) is improved.

Systems and methods to utilize a machine learning model registry are described. The system deploys a first version of a machine learning model and a first version of an access module to server machines. Each of the server machines utilizes the model and the access module to provide a prediction service. The system retrains the machine learning model to generate a second version. The system performs an acceptance test of the second version of the machine learning model to identify it as deployable. The system promotes the second version of the machine learning model by identifying the first version of the access module as being interoperable with the second version of the machine learning model and by automatically deploying the first version of the access module and the second version of the machine learning model to the plurality of server machines to provide the prediction service.

The invention provides a method for improving a super junction power device IGSS failure, and relates to the technical field of power device super junction yield improvement. Comprising the following steps: determining that a failure parameter of a failure area is IGSS according to a wafer test or a wafer receiving test result; determining a plurality of failure reasons for the IGSS; according to the first failure reason, determining a plurality of corresponding formulated schemes, and executing the plurality of formulated schemes to determine a plurality of corresponding execution results; according to the silicon nails in the unit area, determining that the failure morphology has relevance with black silicon distribution generated by a preset etching process; obtaining an optimal etching process formula when correlation exists, and optimizing the bottom of the failed morphology according to the optimal etching process formula; by adjusting the gas ratio, the smooth and silicon-nail-free optimal morphology is obtained within the angle morphology within the preset range, and the EAS capability limit window of the optimal morphology is determined. In this way, IGSS 1V failure is improved, and the yield of mass production is greatly improved.

The invention relates to an operation frequency confirmation method and system for reliability identification and acceptance test. The operation frequency confirmation method for reliability identification and acceptance test comprises the following steps: selecting a proper statistical scheme, a sequential test statistical scheme, a fixed-time truncation test statistical scheme and a full-number test statistical scheme; determining a judgment risk; comprehensive environment determination: determining a comprehensive environment condition of a reliability verification test and a relation between the comprehensive environment condition and the number of times of the reliability verification test according to field use of a tested product and task environment characteristics; determining a test scheme according to test requirements, and drawing a test profile map according to the test scheme; different devices are selected according to different tests, and the requirements of the test devices are specified; and detecting items and qualification criteria of the tested product. According to the operation frequency confirmation method for reliability identification and acceptance test, a basis can be provided for reliability identification and acceptance test.

The present invention relates to a method and device for eddy current testing of the winding coil material of a dry-type transformer. An eddy current analyzer is connected to an eddy current detection probe, which is used to receive the impedance signal of the induced magnetic field and transmit it back to the eddy current analyzer. A winding comparison test block includes a copper winding layer and a non-metallic layer with adjustable thickness coated on the outside of the copper winding layer. The copper winding layer has the same structure as the dry-type transformer winding to be tested. An aluminum winding comparison test block has the same structure as the copper winding comparison test block, except that the aluminum winding layer replaces the copper winding layer. The method is suitable for acceptance testing of dry-type transformer winding materials, and its sensitivity can effectively determine the winding coil material. The winding coil material inside the dry-type transformer can be directly tested without disassembling the dry-type transformer, effectively avoiding the waste of resources caused by acceptance testing. Automated, high-speed batch testing of dry-type transformer winding coil materials can be achieved.

Systems and methods are described herein for performing vulnerability assessment on partially functional software applications (e.g., software applications currently at a phase in the development cycle prior to a user acceptance testing phase). By doing so, the system may detect vulnerabilities, if any, more easily based on the fewer functional components of the application. Additionally or alternatively, curing any vulnerabilities will require fewer modifications to the application's software, architecture, and / or intended functionality (as these characteristics are also earlier in their development cycle).

The invention relates to satellite single-machine multi-feature integrated acceptance inspection equipment and method, and the equipment comprises an electric connector defect detection module which is used for detecting the defects of an electric connector on satellite single-machine equipment; the mounting surface main size detection module is used for detecting the mounting surface size of the satellite single-machine equipment, including the pitch of mounting holes, the aperture of the mounting holes and the maximum envelope size of the mounting surface; the mounting surface flatness detection module is used for detecting the mounting surface flatness of the satellite single-machine equipment; and the lug thickness detection module is used for detecting the lug thickness of the satellite single-machine equipment. According to the invention, full-automatic and high-precision detection of all key features of the satellite single-machine equipment can be completed on one piece of equipment, so that accurate and efficient warehousing acceptance inspection of the satellite single-machine equipment is realized.

Disclosed is a fail-closed conformance control layer for machine-assisted decision artifacts. The system generates replay-verifiable receipts that commit to a canonical artifact digest, evidence and snapshot identifiers, assumptions, toolchain identifiers, and a policy pack identifier and policy version digest. A deterministic validator evaluates a receipt under the versioned policy pack to output PASS, FAIL, or HOLD with reason codes from a reason-code registry, including time-stamped modeled-variability codes. Downstream side effects are gated in a control path and permitted only on PASS; otherwise they are withheld or routed to remediation or human review. The system may emit portable conformance packs and revalidate receipts over time to detect drift and manage a certification lifecycle. Conformance suites with deterministic test vectors and expected validator outputs may certify validator implementations by issuing signed conformance certificates and publishing a certificate or certificate digest to a verifiable certificate registry for independent verification and procurement acceptance testing.

The invention belongs to the technical field of aircraft cabin pressure control, and particularly relates to an aircraft double-cabin digital pressure regulation system cabin simulation test model. Comprising a parameter setting model used for setting test parameters; the flight environment calculation model is used for calculating flight environment parameters; the gas supply amount calculation model is used for calculating gas supply amount parameters; and the cabin simulation control model is used for calculating the pressure and the height in a cockpit and the pressure and the height in a cargo cabin according to the test parameters, the flight environment parameters and the air supply quantity parameters, so that cabin simulation control is realized. The simulation test model can realize the simulation test of the function performance of the double-cabin digital cabin pressure control system, and is used for the acceptance test of the system, so that the test process is more flexible and convenient, the test cost is greatly reduced, the test efficiency is remarkably improved, the consistency of the simulation test and the real physical environment test is good, and the test efficiency is greatly improved. And the requirement of rapid verification of the cabin pressure control system can be greatly met.

The invention discloses a data development method and system based on a data pipeline. The method comprises the following steps: connecting an external system through a business demand management module and intelligently analyzing a demand; the data demand management module is disassembled into specific data demands; the task hierarchy management module confirms the task hierarchy and associates the task hierarchy to a unified demand batch; the development task management module automatically generates a development task, creates a development state structure definition in a production environment, and supports graphical SQL construction, one-key benchmarking, automatic testing and dynamic desensitization; the test task management module sequentially executes a system integration test, a user acceptance test and a scheduling test; and the production task management module executes one-key production and automatically synchronizes to a production environment. The system correspondingly comprises six functional modules. According to the method, the whole-process online, standardized and automatic management of the data project is realized, parallel development and three-state resource dynamic allocation are supported, the development efficiency and the data quality are remarkably improved, and the data security is guaranteed.

This application discloses a railway application software R&D process management method, which relates to the railway application software R&D management technology field. The method includes obtaining business demand information of railway application software R&D projects; determining R&D demand information through analysis, disassembly, and distribution; performing architecture design to determine R&D tasks and generate a software architecture diagram; branching development of R&D tasks to form multiple development tasks; performing automatic static code scanning on branch codes corresponding to completed development tasks; merging branch codes that have completed automatic static code scanning; automatically building, packaging, and storing code to obtain artifacts; performing security information scanning on the artifacts; and performing acceptance testing and release on the artifacts that have completed security information scanning. This application standardizes and normalizes the railway application software R&D process, which is conducive to improving the efficiency and quality of software R&D.

This invention relates to the field of power system automation technology and discloses a method for comparing information from multiple forwarding tables and multiple channels. The method includes: S1, a source device forwards a time-stamped signal to an automatic acceptance testing device via a remote control system. When any channel connected to the automatic acceptance testing device receives the signal forwarded from the remote control system, the method identifies channels with the same time-stamped signal among all channels connected to the automatic acceptance testing device except the receiving channel, and compares whether the signal point numbers of each channel in the same forwarding table are consistent. Furthermore, it compares whether the textual description information corresponding to the signals of each channel in different forwarding tables is consistent. S2, the method checks each channel among all channels between the remote control system and the automatic acceptance testing device that has not received the signal. The automatic comparison method proposed in this invention can automatically verify whether the forwarding of all channels is normal and whether the channel information is consistent.

The application discloses an acceptance checking system and method for monitoring information of a stock transformer substation accessing a centralized control station, and the acceptance checking system comprises a centralized control system, a data communication gateway, a monitoring host, and an automatic acceptance tester, wherein the centralized control system is connected with the data communication gateway during joint debugging of a master substation, the data communication gateway is connected with the automatic acceptance tester, the monitoring host is connected with the automatic acceptance tester during remote control checking and acceptance, and an automatic acceptance module of the centralized control system and the automatic acceptance tester perform overall checking of remote signaling, remote measurement and remote control according to an acceptance strategy, and a test report is automatically generated according to a comparison result, so that correctness verification of a newly-added centralized control forwarding link of the centralized control system and the data communication gateway is accurately, reliably and quickly realized, and the demand of the acceptance of the monitoring information of the stock transformer substation accessing the centralized control system is met.

The present application relates to the technical field of steel support type bridge erecting machine with bearers, and discloses a steel support type bridge erecting machine with bearers working platform construction system and method. The present application generates a platform construction scheme, identifies component types and integrity, determines a plurality of positioning support points according to the platform construction scheme, lays steel pads and installs columns for the plurality of positioning support points, erects and assembles bearers according to the platform construction scheme, constructs a bridge erecting machine working platform, controls and reinforces the bridge erecting machine working platform, and performs acceptance test on the bridge erecting machine working platform to generate a platform acceptance report. The present application can plan a platform construction scheme, automatically control steel pad laying, column installation and erection and assembly, and control, reinforce and perform acceptance test on the completed bridge erecting machine working platform, which can shorten the construction period, improve the construction efficiency, and ensure the stability and bearing safety of the bridge erecting machine working platform.

The invention discloses an acceptance test method and device for a network security monitoring device of a transformer substation, and belongs to the field of network security protection of the transformer substation. Constructing a topological structure with access assets, a network security monitoring device and a network security monitoring device acceptance test device as a core; according to the topological structure, verifying correctness of equipment alarm triggering and network security monitoring device alarm forwarding in the test station, and summarizing and sorting test results; and according to the concluded and sorted test result, simulating an access asset to trigger an alarm to a network security monitoring device, and forwarding the alarm to a network security monitoring platform by the network security monitoring device to realize acceptance of the transformer substation network security monitoring device. According to the invention, the acceptance test efficiency of the transformer substation network security monitoring device is obviously improved, the test time and resource consumption are reduced, the test risk is reduced, and the test accuracy and reliability are ensured.

A test structure, test method, and wafer for GaN devices to improve test reproducibility, belonging to the field of semiconductor technology, includes two rectangular source structures, multiple composite structures, and multiple devices under test (DUTs). On a horizontal plane, the two source structures are located on the left and right sides of the test structure, respectively. The multiple composite structures and multiple DUTs are located between the two source structures, and are spaced apart and arranged sequentially. Each composite structure includes a drain structure, a first gate structure disposed on the upper side of the composite structure, and a second gate structure disposed on the lower side of the composite structure. At least three sides of each DUT are surrounded by the source structures or the gate structures. Therefore, a preset voltage of a preset duration can be applied between the gate structures and the source structures to bring the traps at the bottom of each DUT to a stable state of saturated charging for acceptance testing, thereby improving the reproducibility and accuracy of the acceptance test results.

This application belongs to the field of radar transmitter power testing technology. This application provides a radar transmitter power testing device. In this embodiment, the SMA input port is connected to the power output coupler interface of the transmitter under test. After the transmitter is powered on, the power button is turned on to start the device; the shift switch is adjusted to the corresponding position, and the start button is pressed to test; the RF power detector, operational amplifier, AD conversion chip, CPLD chip, and microcontroller sequentially process the signal output by the transmitter under test to obtain the test results, which are then displayed on a monitor. This device is portable and can test the power and pulse width parameters of the transmitter under test in the field; it can also perform offline transmitter testing, has a high degree of automation, and is simple to operate. Simultaneously, this device can reliably complete the debugging, acceptance testing, inspection, and maintenance of the transmitter.

We provide test equipment, test methods, and test systems. [Solution] The test apparatus has a memory circuit and a processing circuit. The memory circuit stores a machine learning model. The processing circuit accesses the memory circuit. In training mode, the processing circuit loads the machine learning model and inputs wafer acceptance test sample data of a sample wafer into the machine learning model to train the machine learning model to predict the process parameters of each sample die of the sample wafer. In testing mode, the processing circuit inputs wafer acceptance test data of the wafer under test into the machine learning model to predict the process parameters of each die under test of the wafer under test. The processing circuit converts the process parameters of each die under test to generate trim values ​​and provides the trim values ​​to the first functional circuit of the corresponding die under test.

A method of obtaining at least one of an upper and a lower specification limit value for use as acceptance criterion in a device acceptance test, wherein the upper specification limit value (USL) is obtainable by adding a deviation to a central value (X50) and the lower specification limit value (LSI) is obtainable by subtracting the deviation from the central value (X50), wherein the deviation is at least based on a spread value (s), comprises obtaining (13,15,16) a set of parametric test result values, each obtained by carrying out the parametric test on a respective one of a plurality of test devices (2). The method further comprises obtaining the central value (X50) and determining, from the parametric test result values, the deviation. Determining the deviation comprises determining a first parametric test result value (X0.621) corresponding to a percentile function value at a first percentile of the set of parametric test result values and determining a second parametric test result value (X99.379) corresponding to a percentile function value at a second percentile of the set of parametric test result values, wherein the first percentile is below 50 % and the second percentile is above 50 %. The spread value (s) is determined on the basis of both the first parametric test result value (X0.621) and the second parametric test result value (X99.379).

The utility model discloses guide rail acceptance inspection equipment, which comprises a workbench, a guide rail mounting seat, a dial indicator, a translation mounting machine, a support frame, a tool structure, a noise testing machine and a vibration testing machine, the guide rail mounting seat is mounted on the workbench, the dial indicator is positioned above the guide rail mounting seat, the translation mounting machine is arranged on the workbench, and the support frame is arranged on the workbench. The supporting frame is arranged on the working table, the tool structure is arranged on the supporting frame, the noise testing machine is placed on the working table, and the vibration testing machine is placed on the working table. The utility model relates to the field of linear guide rail testing, in particular to guide rail acceptance inspection equipment.

The invention discloses a code branch automatic management method and device, equipment and a medium, a branch system comprising a main branch, a test branch, a pre-release branch and a development branch is initialized in a code repository, the development branch is created by taking the main branch as a baseline to develop a new function code, and after the development branch is combined to the test branch, the new function code is developed. The continuous integration tool is automatically triggered to deploy the test branch code to the test environment for function test, after the function test passes, the development branch is merged to the pre-release branch, the continuous integration tool is automatically deployed to the pre-release environment for acceptance test, and after the acceptance test passes, the development branch code is recovered. And combining the pre-release branch to a main branch set to be in a protected state, and automatically finishing production environment deployment and version label generation. Through the branch system design, the automatic deployment linkage and the synergistic effect of the protected branch strategy, the risk of manual operation errors is reduced, and the stability and efficiency of software system release are improved.

According to some embodiments, systems and methods are provided including a memory storing program code to: execute a functional automation tool for an application under test in at least two languages, wherein execution of the functional automation tool includes a rendering of a plurality of user interfaces in each of the at least two languages; identify at least one of a label and a tooltip in each of the plurality of user interfaces; capture a screenshot for each of the plurality of user interfaces, wherein the captured screenshots include a first screenshot and at least one subsequent screenshot; identify the subsequent screenshot as unique or redundant; and render a language acceptance testing output for each unique screenshot, displaying each identified label and tooltip in the at least two languages. Numerous other aspects are provided.

A method of testing software executing on computer systems. The method comprises executing a plurality of test instructions associated with a test job by a testing application on the computer system on which the software executes; capturing information about a container associated with the software by the testing application, wherein the information comprises a memory allocation associated with the container, a memory consumed by the container, a central processing unit (CPU) utilization allocation, a CPU allocation consumed, an internet protocol (IP) addresses assigned to the container; determining a score by a test validation application based on the information about the container, on test results, and on a scoring policy defined by a test case suite, wherein the scoring policy defines scoring based in part on a type of the container; based on the scores, and taking action by the action engine in the computer system on which the software executes.

This application provides a method, apparatus, device, storage medium, and program product for automatic software generation, relating to the fields of artificial intelligence and fintech. The method includes: obtaining task requirements; splitting and generating sub-tasks based on the task requirements; generating corresponding acceptance test cases for each sub-task; inputting the sub-tasks and acceptance test cases into a code generation agent to generate initial business code; executing the acceptance test cases to verify the initial business code; if verification fails, adjusting the generation strategy of the code generation agent based on the verification failure result to generate adjusted business code, until all acceptance test cases pass verification, obtaining the target business code. This method solves the problem of test and coding separation in existing technologies through a two-level closed-loop mechanism, dynamically optimizing the generation logic, reducing redundant attempts, shortening the iteration cycle, significantly improving the accuracy of code generation, and ensuring code quality through automated closed-loop verification.

The utility model provides a simulation cabin device for an automobile cabin acceptance test, the simulation cabin device comprises a test bench, a temperature sensor and a slide rheostat, the test bench is used for simulating an automobile cabin main body to be accepted and tested; the temperature sensor is arranged on the test bench, and a temperature sensitive resistor is arranged in the temperature sensor; and the slide rheostat is arranged on the test bench and is connected in series with the temperature sensitive resistor. According to the simulation cabin device for the acceptance test of the automobile cabin, the automobile cabin is simulated through the test bench, a real automobile does not need to be manufactured in a trial mode, the cost is low, the temperature detected by the temperature sensor is changed through the slide rheostat, the temperatures of different working conditions can be simulated more conveniently, and implementation is convenient.