64 results about "Distributed testing" patented technology

The invention discloses a software remote testing system and method based on a distributed architecture, particularly relates to the technical field of software testing, and is used for solving the problem of low task migration execution efficiency in a software remote testing process. According to the method, an anomaly detection mechanism is constructed based on a node state track, potential faults of remote test nodes are accurately identified, modeling is performed in combination with topology cutting and resource capability, an optimal task scheduling path is dynamically generated, and a scheduling structure is updated; structured snapshots are extracted from running tasks in the failure nodes, cross-platform packaging is carried out, state reconstruction is completed at target nodes, and uninterrupted task migration is achieved; by comparing the original state with the recovery state, an asymmetric residual scoring function is constructed, the consistency degree is quantified, and whether the task continues to be executed or rolls back is dynamically judged, so that the scheduling stability and the execution continuity of the distributed test under the fluctuation of the test node are improved.

An autonomous driving system test method, comprising: sampling scenario data of a plurality of scenarios (S10), and sending the scenario data of the plurality of scenarios to a plurality of simulation emulators (200) for distributed testing, so as to obtain test result data of the plurality of scenarios, the plurality of simulation emulators (200) being each integrated with an autonomous driving domain controller; and determining a dangerous scenario boundary for an autonomous driving system on the basis of the test result data of the plurality of scenarios (S20). The method is an improvement on the a scenario-based simulation test technology for autonomous driving systems, and using a server and a plurality of simulation emulators integrated with autonomous driving system domain controllers to perform joint testing can greatly improve the simulation test efficiency and the test effect for autonomous driving systems.

The invention relates to a parallel test task scheduling method for a multi-target equipment distributed test system, and belongs to the technical field of scheduling methods. The invention provides a parallel test task scheduling method for a multi-target equipment distributed test system and aims to solve the problems that current equipment models are continuously increased, the number and complexity of equipment test tasks are obviously increased, a traditional test method is long in test time and low in resource utilization rate, and equipment test requirements at the current stage cannot be met. The method can obviously shorten the test time and improve the resource utilization rate, and comprises the following steps: step 1, describing an equipment parallel test task scheduling model by adopting a mathematical method; step 2, determining a constraint relationship of the test task on test time sequence and resources and a constraint condition satisfied between the test task and the test resources; 3, determining a fitness function corresponding to the test time and the resource utilization balance degree, and designing an overall fitness function; and step 4, solving the fitness function.

The invention discloses a software performance test system, method and device in a high-concurrency scene, and relates to the field of software testing, the system comprises a scene intelligent construction module used for generating a concurrency scene through a behavior tree modeling and time sequence prediction algorithm according to service demand parameters and historical traffic data; the distributed test environment scheduling module is used for constructing a distributed test environment by adopting a container arrangement technology; the virtual user load generation module is used for simulating concurrent user requests by adopting a coroutine pool technology; the real-time performance data acquisition module is used for acquiring multi-source performance data of the tested software in real time; the intelligent performance analysis module is used for calculating a core performance index according to the multi-source performance data and carrying out anomaly detection and trend prediction; and the performance bottleneck positioning module is used for mining a dependency relationship among the core performance indexes and generating a bottleneck positioning report and an optimization suggestion document. According to the method, the accuracy, the efficiency and the stability of software performance testing in a high-concurrency scene are improved.

Systems and methods for bias testing and remediation are disclosed. Decentralized Web Application Testing Systems use a Holochain framework to distribute testing workloads across Full Nodes and Lightning Nodes. A Holochain Node Management Application for configuring nodes, a UI Application creates test cases, and a Version Management System tracks changes. Test results are stored and analyzed in a Test Result Store, with a Bias Intelligence module detecting biases and generating additional test cases. A Consensus Algorithm validates test cases through decentralized nomination. An AI-Driven Defect Remediation System automates defect detection, root cause analysis, and remediation using AI modules. Machine learning algorithms identify patterns and anomalies, while NLP techniques generate code fixes. Predictive maintenance monitors application performance to preemptively address issues. A feedback loop mechanism continuously improves AI models through reinforcement learning. Together, these systems provide a holistic approach to web application testing and maintenance.

The invention relates to the technical field of distributed computing and automatic testing, and provides a distributed remote management and automatic testing method based on a swan gap system, and the method comprises the steps: obtaining pre-collected operation state data of to-be-tested swan gap equipment as a target distributed equipment state data set; generating an optimized equipment state data set through data cleaning and feature extraction; performing distributed task scheduling on the optimized data to generate a test task allocation result; generating an initial test result and test description information containing task types, feature vectors and priorities based on the distribution result and a pre-trained distributed automatic test model; and determining a candidate test task set by matching the distributed test task library, and calibrating the initial result by using the candidate tasks to generate a calibrated test result. The test process can be optimized, and the result accuracy can be improved.

The invention relates to a photovoltaic power generation consumption system based on a distributed test unit, the photovoltaic power generation consumption system is deployed in a micro-grid architecture, the micro-grid architecture comprises a power utilization node, a photovoltaic power generation unit and external commercial power, the photovoltaic power generation unit is provided with a photovoltaic inverter controller, the power utilization node is provided with an energy storage unit, and the external commercial power is connected with the photovoltaic inverter controller. The distributed test unit cluster collects power utilization load data in real time, the photovoltaic monitoring unit cluster obtains power generation power data, the power utilization rule analysis unit generates a power utilization rule portrait, and the power supply matching unit dynamically establishes a power supply relation to realize efficient matching of photovoltaic power generation and power utilization demands. The method has the advantages of improving the local consumption efficiency of photovoltaic energy and guaranteeing the power utilization quality.

The invention, which belongs to the technical field of equipment testing, provides a lightweight distributed testing system comprising a remote controller and a near-end testing unit. Wherein the remote controller comprises a computer and a functional interface card; the near-end test unit is a board card framework and comprises multiple sets of independent measurement and control systems and a network switch, each set of measurement and control system is composed of a main control board, a time sequence board, a power distribution board and a power board, the multiple sets of measurement and control systems share one bottom board, the main control board, the time sequence board and the power distribution board are all provided with network interfaces, and the network interfaces are connected with the network switch. All network interfaces are gathered through the network switch; the remote controller is in communication connection with the near-end test unit and has a wireless communication mode and a wired communication mode. The device has the advantages of being convenient to move, convenient to assemble and maintain, high in expandability and environment applicability and capable of meeting the requirements for diversification and combination of products to be tested.

The invention relates to a distributed DNS test method and device, computer equipment and a storage medium. The method comprises the steps of obtaining test demand data, configuring a plurality of agent nodes located in different geographic areas according to the test demand data, creating a test task, and distributing the test task to the plurality of agent nodes, the test task comprising a to-be-tested domain name, an expected analysis result and a query parameter, controlling each agent node to initiate a DNS query request to the to-be-tested DNS system based on the to-be-tested domain name and the query parameter, receive a query result returned by each agent node, verify whether a domain name resolution behavior of the to-be-tested DNS system meets a preset service specification requirement based on the query result and an expected resolution result fed back by each agent node, obtain a verification result, and send the verification result to the to-be-tested DNS system. And generating a test report according to the verification result. By adopting the method, the accuracy and efficiency of DNS system testing can be effectively improved.

The application relates to a testing device and method for a multi-channel high-speed low-delay interconnection interface of a silicon medium layer. The device comprises a standard testing port for interactive testing instructions, an asynchronous bypass port for directly accessing IO ports of channels of a physical layer of the interconnection interface, a built-in self-test engine for realizing loopback testing and data checking between different layers, a redundant data channel for repairing a damaged data channel, and a delay chain testing circuit for testing functions and linearity of a delay chain. The device is used for embedding and distributing testing and repairing logics in the physical layer and the link layer, realizing internal testing control without an external controller, testing and rapidly screening a sample, and ensuring the performance of the sample.

A method, a computer program with instructions, and a system for the risk analysis of a distributed test object. The disclosed embodiment also relates to devices for use in such a system. According to the invention, a risk analysis for a part of the test object located in a first context is carried out. In addition, a risk analysis for a part of the test object located in a second context is carried out. If a protection requirement is determined in the case of one of the risk analyses, information relating to this determined protection requirement is exchanged between the risk analyses. The determined protection requirement can then be taken into account in that a risk-enhancing measure is determined. In this case, information relating to the determined risk-enhancing measure can be exchanged between the risk analyses.

The application provides a kind of interface service state analysis system and method based on distributed testing and monitoring, it is related to computer system monitoring technical field.The system integrates test script generation module, improved Jmeter server, index data transfer module, Prometheus server, intelligent analysis module and alarm module, realizes the whole process management of computer system interface service from detection, storage, display, alarm to analysis.Improve Jmeter test tool, make it compatible with Prometheus collection mode, meet different test requirements and multi-concurrent scene;Intelligent analysis module is used to build service dependency, realize intelligent analysis and positioning of fault, solve the problem that service fault is difficult to be actively found and quickly positioned in existing operation and maintenance system, improve the operation and maintenance efficiency of information system.

The invention discloses a networking delay dynamic sensing and intelligent compensation method for a distributed test system. According to the method, a technical system of'high-precision perception-intelligent prediction-dynamic compensation-robust guarantee 'is constructed aiming at the networking delay and time variation problem caused by fixed delay, variable delay and system-level errors in a distributed test system; a subnanosecond clock synchronization reference is established through an IEEE 1588 (PTP) precision time protocol; unidirectional delay accurate measurement is realized based on a PTP delay request-response mechanism; modeling and predicting the delay time sequence by adopting an ARIMA (Autoregressive Integrated Moving Average) model, and sending an instruction in advance through dynamic forward compensation so as to achieve a quasi-synchronization test; and the test continuity and the precision controllability when the network state dramatically changes are ensured by combining the self-adaptive model updating and abnormal backspacing mechanism. According to the method, the time sequence synchronization precision and the environmental adaptability of the distributed test system are remarkably improved, and the technical problem that a traditional method is difficult to deal with delay jitter and dynamic change is solved.

The present invention relates to a parallel test task scheduling method for a multi-target equipment distributed test system, and belongs to the technical field of scheduling methods. In view of the continuous increase in the number of equipment models, the number and complexity of equipment test tasks have increased significantly. Traditional test methods have long test time and low resource utilization, which cannot meet the current equipment testing needs. A parallel test task scheduling method for a multi-target equipment distributed test system is provided. The method can significantly shorten the test time and improve resource utilization, and includes the following steps: Step 1, using a mathematical method to describe the equipment parallel test task scheduling model; Step 2, determining the constraint relationship between the test task in the test timing and resources, as well as the constraint conditions satisfied between the test task and the test resource; Step 3, determining the fitness function corresponding to the balance between the test time and resource utilization, and designing the overall fitness function; Step 4, solving the fitness function.

The invention belongs to the technical field of software testing, and particularly relates to a distributed testing platform system and method based on a micro-service architecture, and the system comprises a plug-in layer, a micro-service layer and an infrastructure layer. The plug-in layer is used for acquiring original data in a user operation process, packaging the original data according to a standardized interface format, and generating request data; the micro-service layer is used for receiving the request data, extracting key content in the request data after executing authority verification and route matching, analyzing the key content and generating a resource scheduling instruction; and the infrastructure layer is used for performing classified storage on the analysis data, asynchronously sending a resource scheduling instruction to a distributed test cluster, triggering a target node to execute a test task, monitoring key test indexes according to real-time log data generated in a test process, and feeding back result data to the plug-in layer through the micro-service layer after the test is completed. According to the scheme, the flexibility and reliability of a test link are improved.

This invention provides a continuous integration testing system and method for application software, relating to the field of software testing technology. A control terminal constructs test tasks based on the code to be tested and a pre-configured test process, sends them to a test host, and the test host initiates the code to be tested and executes the test tasks through an integration testing module. The integration testing module integrates distributed testing units, which execute corresponding test tasks and output test results. The distributed testing units include page character testing units, page layout testing units, media performance testing units, navigation function testing units, refresh update testing units, and traffic / power testing units. A test result feedback module receives test results from the distributed testing units and feeds them back to the test host. This invention solves the problem that current testing systems can only test individual projects one by one, which is inconvenient for continuous integration testing and results in low testing efficiency, thus improving software testing efficiency.

The invention discloses a full-automatic test system for a single mainboard of a high-efficiency server, and relates to the technical field of server test. Comprising a test control module, a parallel computing module, a distributed test module, an intelligent diagnosis module and a data storage and analysis module, the test control module is respectively connected with other modules and is responsible for coordinating the working time sequence of each module and controlling the whole process of the test process from starting to ending; the parallel computing module enables multiple test tasks to be carried out simultaneously in a parallel processing mode for a CPU, a memory, a memory, a network and a USB which need to be tested on a server mainboard, the distributed test module distributes the test tasks to multiple independent test nodes to achieve multi-node cooperative work, the intelligent diagnosis module integrates an intelligent algorithm, and the intelligent diagnosis module achieves multi-node cooperative work. Abnormal data generated in the testing process are automatically analyzed, problem reasons are rapidly positioned, diagnosis results are generated, data storage adopts a database to store original data, intermediate results and final testing results in the testing process, data traceability is ensured, an analysis module carries out statistical analysis on the stored data, and the analysis result is obtained. A test qualified rate report and a fault distribution report are generated, and data support is provided for production optimization.

The invention discloses a storage chip aging prediction method and device based on topological sorting and a medium, and relates to the technical field of chip aging tests.The method comprises the steps that an initial static topological graph is constructed based on a predefined internal dependency relationship of a storage chip; collecting performance monitoring data of the storage chip, performing time sequence relevance identification, and generating a dynamic dependency edge; fusing the dynamic dependent edge with the initial static topological graph to generate a mixed topological graph; decomposing the mixed topological graph through a graph community division algorithm to generate a plurality of sub-graph communities; performing topological sorting on each sub-graph community to generate a functional component test sequence of each sub-graph community; and respectively executing an aging test task on each sub-graph community and the corresponding functional component test sequence through a plurality of distributed test nodes to generate a plurality of pieces of performance parameter attenuation data. According to the method, the performance monitoring data and the static topology are fused, the hybrid topological graph of the chip is constructed, and the problem of relevance deficiency caused by data separation is solved.

The invention relates to a method for realizing a resource adaptive pressure test based on load scaling. The method comprises the following steps: load modeling; constructing a distributed test cluster; service simulation and Mock construction are carried out; load prediction; self-adaptive pressurization is carried out; and evaluating a result. The invention also relates to a system and a device for realizing the resource adaptive pressure test based on load scaling, a processor and a computer readable storage medium thereof. By adopting the method, the system and the device for realizing the resource adaptive pressure test based on the load scaling, the processor and the computer readable storage medium thereof, the resource utilization rate is greatly improved, the test efficiency is greatly improved, manual intervention is reduced through an automatic test process, and the test period is shortened. The environment adaptability is enhanced, and the method has good universality for different types of service systems. The cost effectiveness is outstanding, the dependence on a special high-performance test environment is greatly reduced, the existing low-configuration equipment is fully utilized, and the hardware investment and the maintenance cost are saved.

The invention relates to an automatic model testing method and device, equipment, a storage medium and a program product, and relates to the technical field of automatic testing. The method is executed by a model test system, and the model test system comprises a model management subsystem, an integrated test subsystem and at least one distributed test subsystem. The method comprises the following steps: a distributed test subsystem executes a local pre-auditing test on a first model, wherein the first model is an algorithm simulation model developed based on a development mode of model design; after the first model passes the local pre-auditing test, the distributed test subsystem uploads the first model to the model management subsystem; the integrated test subsystem obtains a first model from the model management subsystem; the integrated test subsystem executes a model test on the first model according to a preset test task workflow; the integrated test subsystem sends a test result of the model test to the distributed test subsystem; and the distributed test subsystem displays a test result.

The invention provides an interaction test method and device, computing equipment and a storage medium. A task generation page including a task editing control is displayed. And when the user triggers the task editing control, generating at least one interaction test task, wherein the interaction test task comprises at least one to-be-tested device identifier representing the to-be-tested device. And according to the to-be-tested device identifier in each interaction test task, determining a corresponding test node, and executing the corresponding interaction test task in parallel through each test node to obtain a task test result. And displaying a task test result of each interactive test task. The distributed test system is established by setting a plurality of test nodes, a large number of device interaction tests are achieved in an end-to-end mode, unified management and monitoring of different devices are achieved, and the efficiency of the interaction test process is improved. Meanwhile, due to the fact that the distributed system achieves distributed testing in a mode of opening up the nodes, cost is low, and high expansibility and high availability are achieved.

The invention provides a 5G power network consistency protocol testing method, and belongs to the technical field of power network testing. The method comprises the following steps: S1, analyzing a 5G power network protocol specification, identifying a static consistency demand and a dynamic consistency demand, and generating an abstract test set; s2, calling the abstract test set through a test executor, and performing multi-dimensional test on the tested system through a distributed test architecture; s3, collecting input and output sequences and network performance data in a multi-dimensional test process in a mode of combining active detection and passive monitoring, and forming a test result; and S4, analyzing a test result based on the formalized model, performing consistency judgment by adopting a hierarchical judgment mechanism, forming consistency grade evaluation, and generating a test report containing the test result and the consistency grade evaluation. According to the invention, the coverage comprehensiveness and the test efficiency of the 5G power network consistency protocol can be improved.

The present application discloses a distributed test control method and device based on load balancing, the method comprising: receiving a test task request triggered by a remote warehouse branch based on a test code, thereby locking a compilation node, the compilation node compiling according to the test case code, and obtaining the actual classification of the test case; requesting the resource scheduling node to occupy the task distribution node, so that the resource scheduling node locks the task execution node to the test task in the task distribution node; receiving notification information generated by the task distribution node based on the test case data obtained from the compilation node; requesting the resource scheduling node to occupy the task execution node, so that the resource scheduling node locks the task execution node to the task distribution node, so that the test case is incrementally obtained and executed from the task distribution node, and the result is returned to the task distribution node. The embodiment of the present application can separate task management and resource scheduling, so that resources can be dynamically allocated, thereby improving overall test efficiency.

A test data management ecosystem allows for a distributed test data management application. The distributed test data management application includes a core component and multiple satellite components performing coordinated operations to manufacture test data and convey the manufactured test data to end users. The distributed test data management application decentralizes the test data manufacturing to the satellite components, which report to the core component with metadata associated with the manufactured test data. The test data management ecosystem also includes multiple user interfaces and application programming interfaces to support various functionalities of the test data management ecosystem, such as test data manufacturing, managing, governing, tracking, and provisioning.

The invention discloses a dynamic distributed unit test coverage rate statistical method and system, and the method comprises the steps: S1, dividing a unit test in a project code into a plurality of independent modules according to the execution environment and module attribution of the unit test, and constructing a containerized mirror image for each independent module; s2, constructing a distributed test execution cluster, and in response to a code submission event, triggering a test process and identifying a module to which a code change belongs; s3, according to the identified modules, intelligently scheduling corresponding cluster nodes to execute unit testing; and S4, the main node summarizes the test result and coverage rate data of each node, generates a test report, and determines whether the code is admitted or not according to the coverage rate and the passing rate of the report. The test execution environment of the module unit can be independently configured, the test time is greatly shortened, and the process automation level is improved.

The application discloses a camera module distributed test method, system, equipment and storage medium, the method comprises the following steps: providing a camera module distributed test system, including a test host, a plurality of remote duplicators, a control unit, a local test unit, a local duplication unit, a plurality of remote test units and a plurality of remote duplication units; the control unit transmits test files to the remote duplication units through the local duplication unit, and the local duplication unit and the remote duplication unit respectively copy a specified number of test files according to the computing power, and a plurality of test files after copying are obtained; according to the control unit instruction, the test host and the remote duplicators respectively test a plurality of camera modules by using the plurality of test files. The computing power of each duplicator is fully utilized, the number of camera modules tested at a time is greatly increased, and the test efficiency is improved.

The application discloses a kind of performance test methods of server middleware, it is related to computer technology field, including constructing dynamic business scenario model, baseline calibration and parameter snapshot are configured, deployment distributed test node cluster, multi-dimensional index real-time acquisition, adaptive load adjustment etc.The performance test method of the server middleware, through dynamic business scenario modeling-configuration baseline calibration-distributed collaborative load generation-multi-dimensional index linkage acquisition-adaptive load adjustment-full link performance tracing-long-term stability iteration verification integrated test process, in combination with the intelligent load regulation and control algorithm of real-time performance feedback and cross-level index correlation analysis model, realize the accurate evaluation of server middleware overall performance and single point component, while guaranteeing the benchmark consistency and long-term reliability of test result, test efficiency, data credibility and scene adaptability significantly improve, suitable for the full life cycle performance test of server middleware.

This invention discloses a distributed testing method for UAV flight control computers based on Directed Acyclic Graph (DAG). Step 1: Build a distributed testing system; Step 2: Based on the distributed testing system in Step 1, construct a DAG task scheduling model; Step 3: Based on the DAG task scheduling model in Step 2, perform static allocation before scheduling; Step 4: Based on the DAG task scheduling model in Step 2 and the allocated static resources, achieve dynamic scheduling. This invention addresses the problems of susceptibility to node state influence and uneven distribution of node resources in current UAV hardware-in-the-loop (HIL) simulation testing platforms during test case scheduling.

The embodiment of the present disclosure provides a monitoring method and device for distributed testing, an electronic device and a storage medium, and relates to the technical field of digital data processing. The monitoring method for distributed testing comprises the following steps: in the process of performing testing on a tested node in distributed testing, periodically acquiring the data amount of log data of a test process run by the tested node; and in response to the data amount of the log data acquired at a time point in a current period being equal to the data amount of the log data acquired at a time point in a previous period, determining that the tested node reaches a stable state in the current period.

This invention belongs to the field of visual light source impact testing technology and discloses a visual light source durability testing device. The device includes three circumferentially distributed testing platforms. An adjustment unit is located on one side of each testing platform, and a vibration unit and an impact unit are respectively located on either side of the adjustment unit. The vibration unit drives the angle cylinder to rotate and displaces the end rod through pitch gears meshing with open gears of different opening radii, changing the compressibility of the return spring to achieve multi-frequency vibration simulation. The compressed return spring can enter the non-harmonic vibration range. The impact unit achieves multi-dimensional impact through planetary gears and eccentric gears combined with a two-axis linkage mechanism. The adjustment unit achieves synchronous switching between multiple workstations through gear transmission and gear belt linkage. This invention solves the problems of existing testing equipment having a single vibration frequency band, unrealistic simulated environment, and insufficient impact dimensions. It can comprehensively assess the structural stability of visual light sources, improve the realism and efficiency of testing, and is suitable for batch testing scenarios.