182 results about "Test harness" patented technology

The invention discloses a method based on a large language model and ATTamp; the invention discloses a CK framework penetration test automation method and device, and the method comprises the steps: firstly carrying out the structural analysis of multi-source input information and tool output, and guaranteeing that key fields are not discarded; then combining a retrieval enhancement generation technology and a network security knowledge base to provide domain knowledge support for the large language model, so as to generate a model with ATTamp; a penetration test task tree marked by CK tactics, technologies and sub-technologies; on the basis, an optimal tool is automatically selected through a tool resource library and a multi-dimensional screening mechanism, an execution instruction is generated, and finally an execution result is returned to the input analysis module to form a self-adaptive optimization test closed loop. According to the method, semantic fidelity compression and standardization processing of long information can be realized aiming at the problems of large output format difference, more information redundancy and the like of different penetration testing tools, and efficient, explainable and auditory technical support can be provided for automatic penetration testing in a complex network environment.

The invention discloses a large language model agent security test method and device based on a model context agreement, and the method comprises the steps: firstly deploying a test tool in a test server, defining an application program interface which comprises function parameters and test probe parameters, describing the test probe parameters as necessary technical requirements for executing nominal functions, and executing the nominal functions according to the test probe parameters; and inducing the tested LLM agent to transmit complete session context data when calling. The test server receives a tool call request including a function parameter value and session context data, a back-end concurrently processes the request, executes a nominal function to generate a benign result, and extracts the session context data at the same time. Afterwards, a benign result is returned to the tested LLM agent, and the extracted data is asynchronously transmitted to a remote log server for recording as a test log. And finally, comparing the test log with the actual operation history, judging whether a session context data leakage vulnerability exists or not, and quantifying the severity level so as to detect whether the LLM agent leaks session memories such as the user interaction history or not.

The invention provides a testing method, a server and a storage medium, and relates to the technical field of testing. The test method is applied to a server, a control module and a tested system module are deployed on the server, communication connection is established between the control module and the tested system module, the current operation environment of the server is a pre-silicon environment, and the test method can comprise the following steps: adopting the control module to test a target main program of a test tool through the target main program; test task information is sent to the tested system module, and the main program is used for shielding the peripheral interface and providing simulation test data; the tested system module is adopted to perform test operation based on the test task information to obtain a test result, and the test result is sent to the control module; and receiving a test result by using a control module. The control module deployed on the server based on the pre-silicon environment and the tested system model are tested, so that the dependence on an external control terminal is thoroughly eliminated, the server of the pre-silicon environment is independently operated and tested, and a result is obtained.

The invention relates to the technical field of software testing, and discloses a large-model-based REST-Like API dependency analysis and test case generation method, which comprises the following steps of: obtaining API interface description information, performing semantic analysis on the API interface description information by utilizing a large language model, and generating structured semantic representation so as to identify an operation type, dependency resources and operation resources of each API; an API-resource dependency graph is constructed based on the representation, the dependency graph comprises resource nodes and API nodes, and the operation and dependency relationship between the API and resources is represented through two kinds of directed edges of a dependency edge and an operation edge; on the basis of the graph, a test case is automatically generated through resource initialization template pre-generation and recursive dependency analysis, and the core of the test case is an API calling sequence used for testing the target API. According to the method, through semantic understanding of a large model, the problem that a traditional test tool loses efficacy in dependence analysis on a non-standard REST-Like API is solved.

Disclosed herein are systems and methods to obtain representative formation pore pressure and formation mobility from pressure measurements with a formation testing tool. In some embodiments, the method includes performing a first pre-test in which a pressure sensor measures a drawdown pressure and a buildup pressure, calculating a statistical value for the measured buildup pressure, determining if the statistical value is above or below a threshold, shutting down a mud pulser if the statistical value is above or below the threshold, and performing a second pre-test in which the pressure sensor measures a second drawdown pressure and a second buildup pressure. In embodiments, the second pre-test includes a formation fluid drawdown flow rate that is different than a formation fluid drawdown flow rate in the first pre-test.

The invention provides a large model assisted Fuzz test Harness generation method and system, and the method comprises the steps: migrating a library of a QNX platform to a Linux environment for operation, and carrying out the glue code packaging of interface difference and system call difference through the generality that the library of the QNX platform and the Linux environment share a POSIX standard, thereby achieving the automatic adaptation of key API and context constraint; then analyzing binary semantics by means of an intelligent Agent constructed by a large model, automatically generating a Harness skeleton, focusing potential dangerous points (such as memory management, character string processing functions and the like), generating an initial seed in combination with a static or dynamic analysis result, and finally executing a Fuzz test in a controllable execution environment. And high coverage and rapid vulnerability positioning of the multi-dimensional attack vector of the target library are realized. The technical problems that Harness writing highly depends on expert experience, a customized generation strategy for target binary semantics is lacked, and comprehensive understanding on the binary semantics and context constraints is lacked are solved.

The invention discloses an automatic testing system and method for a modular interface, and relates to the technical field of interface testing, and the system comprises an interface analysis module which is used for loading a to-be-analyzed interface document and extracting interface basic information from the to-be-analyzed interface document; the test case generation module is used for generating test cases of normal and abnormal scenes based on the interface basic information and a preset case template; the interface information comparison module is used for automatically detecting updating of an interface document, positioning changed content and synchronously updating a test case before the test is executed; the test execution module is used for executing an interface test by calling a test tool or a built-in Selenium interface automation framework; the test data analysis module is used for collecting test data generated in a test process in real time, and calling AI model analysis to quickly position an interface error reason; and the test document output module is used for summarizing the test data and the AI analysis result and generating a test report in multiple dimensions. According to the invention, the test and maintenance work of various interfaces can be rapidly and accurately completed.

The invention discloses a multi-agent penetration test tool arrangement and unified calling method and computer equipment, and the method comprises the steps: constructing a semi-centralized multi-agent collaborative framework comprising a main control agent, a reconnaissance agent and an attack agent, and abstracting a penetration test process into an interactive task environment; unified calling and result return of various penetration test tools are realized through a model context protocol, and the expandability and safety verifiability among different tools are ensured; modeling a relationship among a target host, ports, services and vulnerabilities in real time by using a dynamic knowledge graph, and performing denoising, association and semantic alignment on multi-source tool output in combination with a preference-driven chained thinking mechanism to form a context-aware knowledge fusion module; and taking the fused knowledge as decision input, guiding multiple agents to complete task planning, tool selection and command generation, and realizing full-process automation from information collection to vulnerability utilization.

The invention discloses a process searching and killing method for a vehicle-mounted operating system of an automatic driving vehicle, electronic equipment and a storage medium, and the method comprises the steps: obtaining a scene parameter of a current automatic driving vehicle, comparing the scene parameter with a preset test case which comprises at least one corresponding to-be-searched and killed process, each process is provided with a searching and killing triggering condition corresponding to the process to be searched and killed; and when the scene parameters meet any one searching and killing triggering condition in the certain test case, running a searching and killing test tool, and searching and killing a first process corresponding to the certain searching and killing triggering condition. According to the method, the current scene parameter is compared with the preset test case, whether the searching and killing triggering condition in the test case is met or not is determined, and the task meeting the preset condition is searched and killed. The process of the QNX system is searched and killed quickly and automatically, the test load of testers is greatly reduced, and the test efficiency is effectively improved.

The invention discloses an automatic computer mainboard aging and port comprehensive test system and method, and the system comprises a front-end test management module which is used for task configuration, real-time monitoring and log display, a background execution service which is operated by a common user authority, receives a front-end instruction and executes a test command, and is operated by a root authority. The permission risk of the test tool is solved by a sub-permission architecture; the front-end program comprises the following steps: a station identification module automatically identifies a test station number; the task configuration and scheduling module records task parameters, time and execution states; the system information acquisition module automatically acquires mainboard and port information; the resource monitoring module collects information in real time, detects resource fluctuation and evaluates performance; the data uploading module uploads a test result; the graphical interface module displays a system state, a task progress and a result in real time; according to the method, a front-end and back-end authority layered framework is adopted, and full-process automation from task configuration, execution, monitoring and result uploading to tracing is achieved.

An application or software tool is used to test a device model with a physical device. The tool runs a test on the physical device via the network connection using the input of the test data. The test data includes the inputs and corresponding output values of the device model. The tool compares an output value of the physical device generated by the test with an output value of the device model to generate a result of the test. The test results are displayed on a display of the computing device.

The invention relates to the technical field of testing, and discloses a test case implementation method and device, a terminal and a storage medium, and the method comprises the steps: receiving a test case title; wherein the test case title comprises a preset number of semantic fields, and each semantic field comprises a keyword and a parameter value corresponding to the keyword; analyzing the test case title to extract keywords and parameter values in each semantic field, and constructing a parameter dictionary based on an extraction result; and generating a configuration file for driving the test tool based on the parameter dictionary, and calling the test tool based on the configuration file to execute the test operation. The standardized test case title is automatically analyzed into the parameter dictionary and the test tool configuration file is generated, so that automatic conversion from the test intention to the execution task is realized, the development efficiency is remarkably improved on the premise of ensuring the test accuracy, and the maintenance cost is reduced.

This invention discloses a testing device for conductive film on a keyboard, belonging to the technical field of testing tools. It includes a base and a support mounted on the base. A test cover plate is placed on the base, and the test cover plate is moved vertically up and down by a lifting component mounted on the support. The test cover plate has test through holes corresponding to rubber buttons. A marker is provided within the test through hole, triggered by the rubber button, to determine whether the rubber button's installation is qualified. As the test cover plate moves up and down with the lifting component, the marker moves with the test through hole. The conductive film is placed below the test cover plate. The test cover plate falls, and the change in stroke triggered by the rubber button is observed. This allows for the determination of whether the rubber button's installation position on the conductive film, its physical elasticity, and hardness change after installation, thus determining whether the rubber button's installation on the conductive film is qualified. This device allows for the testing of a batch of rubber buttons in a single operation.

The invention provides a dynamic load testing method and device, electronic equipment, a medium and a program product, and can be widely applied to the technical field of testing. According to the method, the access state of the tested object is simulated through the test tool according to the target test parameter, and after the first performance index in the access process is received and collected, the target test parameter and the first performance index are input into the preset machine learning model to perform load test analysis on the tested object; therefore, the test process of all the load parameters needing to be tested can be completed without continuously manually adjusting the tested load parameters, the workload of manual adjustment and interference factors introduced in the manual adjustment process are reduced, and the test accuracy is effectively improved.

The invention discloses a vehicle intelligent cabin software version number integration system and method and electronic equipment, and relates to the technical field of software, and the system comprises a version number rule definition module which is used for setting a composition rule of a vehicle intelligent cabin OS baseline software version number; the trigger mechanism module is used for determining a trigger condition of version number self-increasing and triggering a standard basic task serving as a benchmark through an automatic server tool; when the base line has code update, receives a product stage update instruction or obtains vehicle type and hardware equipment information change, correspondingly triggering a self-increasing signal of a primary version number, a secondary version number or integration times; the self-increasing execution module is used for receiving a signal of the trigger mechanism module and updating a version number according to a preset rule; the integration module is used for integrating the updated version number into a mirror image package and is linked with a development tool chain of the vehicle intelligent cabin OS baseline software; the development tool chain comprises a code warehouse, an automatic testing tool and a project management tool.

The embodiment of the invention provides a crawler method, device and system and electronic equipment. The crawler method, device and system are used for reducing the development workload and improving the expansibility of a crawler system. The method comprises the following steps: analyzing a configuration file to generate crawler reference data; the crawler reference data is used for triggering the test tool to execute automatic webpage operation; based on the crawler reference data, target data are obtained, and the target data are data generated in the automatic webpage operation process of the test tool; and according to the target data, generating a data file meeting knowledge base construction requirements. According to the method, crawler reference data is generated through a configuration file, and a test tool is triggered by the crawler reference data to perform automatic webpage operation, so that a web crawler is realized. In this way, the development workload can be reduced, and the problems that the code and service coupling degree is high, and expansibility is poor can be solved.

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 embodiment of the invention provides a kernel driver testing method and device, electronic equipment and a computer readable storage medium. The method specifically comprises the steps of obtaining a first mirror image file, a second mirror image file and first version parameters of a kernel and a driver input by a user; the first mirror image file is a mirror image file of a test environment container obtained after the test environment is subjected to containerization packaging; the test environment is a running environment of a test tool when the kernel driver is tested; the second mirror image file is a mirror image file of a container corresponding to the to-be-tested equipment, and the kernel driver runs in the to-be-tested equipment; when the first version parameter is inconsistent with the kernel driver version parameter in the second mirror image file, generating a target kernel driver according to the first version parameter, and switching the kernel driver corresponding to the to-be-tested device into the target kernel driver; and according to the first mirror image file and the target kernel driver, testing the to-be-tested device to obtain a test result. The test efficiency of the kernel driver can be improved.

The application provides a continuous integration method, device, equipment, storage medium and program product, and relates to the technical field of computers, and the method comprises the following steps: calling a test tool to test GPU operator code based on a pre-trained AI test arrangement intelligent agent, and generating a code diagnosis report; generating code optimization suggestions based on the AI test arrangement intelligent agent and according to the code diagnosis report and GPU hardware information; and correcting the GPU operator code based on the code optimization suggestions to obtain target operator code. Through the above manner, artificial intelligence technology is introduced into the continuous integration process of the GPU operator code, automatic testing, automatic diagnosis analysis, automatic correction and automatic continuous integration of the GPU operator code are realized, which is beneficial to improving the efficiency of the continuous integration of the GPU operator code, optimizing the continuous integration effect, and ensuring that the target operator code obtained by correcting based on the code optimization suggestions can adapt to the hardware characteristics of the GPU.

A quality control system may include a controller configured to be communicatively coupled with a monitoring assembly including one or more detectors. The controller may implement two or more artificial intelligence quality control (AIQC) modules associated with two or more process steps for fabricating a composite material, where each of the two or more AIQC modules is associated with a different one of the two or more process steps. A particular AIQC module may receive monitoring data associated with the particular process step for a workpiece, generate quality control data using a particular AI model, and update the particular AI model based on testing data associated with the workpiece from one or more testing tools after at least the particular process step.

The invention provides an automatic testing method and device, electronic equipment and a computer storage medium. The method comprises the following steps: performing screenshot and preset cue word template construction based on equipment in real time to obtain decision cue words; inputting the test instruction, the context information, the interface perception information and the decision prompt word into a multi-modal large model to obtain a dynamic planning result; acquiring a screenshot in real time in the process of calling the equipment control command to execute the target operation according to the operation type; for each target operation, analyzing the interface state according to the difference between the front screenshot and the rear screenshot to obtain an analysis result of the target operation; if the analysis result of the target operation shows that the operation result of the target operation does not reach the expectation, re-planning the target operation; and after all the target operations are executed, generating a test result of the test. The problems that a traditional UI automatic test tool is poor in interface change adaptability, high in script maintenance cost, rigid in test path and the like are effectively solved.

The invention provides an automatic testing method and device for cloud native services and a testing tool. The method comprises the steps that an identifier of a target application service and an ip address of a target service node where the target application service is located are obtained; generating a hanging script according to the identifier of the target service node and a pre-stored script template; according to the ip address of a target service node where the target application service is located, creating a copy of a hanging script on the target service node; controlling the target service node to execute the execution of hanging up the copy of the script so as to control the target service node to automatically obtain and hang up each target process associated with the target application service; and obtaining monitoring state data of each target process associated with the target application service so as to determine a test result of the cloud native service. According to the scheme, the target process of the target application service can be automatically suspended, the service process can be quickly suspended by one key, the test efficiency can be improved, and the time cost of suspending the service process when a tester performs a non-function test is greatly saved.

The invention relates to a distributed storage system performance automatic testing method and device. In response to a preset test configuration interface called by a user, automatically identifying test parameter information in a test task set input by the user to generate a plurality of task definition files executable by a benchmark test tool of the distributed storage system; submitting the task definition file to a benchmark test tool, and monitoring the execution state of the corresponding test task based on the plurality of task identifiers; and after all the test tasks are executed, automatically carrying out aggregation analysis processing on the test result data, and generating a structured test report. By integrating the generation, submission, monitoring and analysis processes of the configuration file and automatically summarizing and analyzing the test results, the full-process automatic processing is realized; and meanwhile, batch submission of test tasks is supported, the test throughput is improved, the technical threshold and the labor cost of the test are remarkably reduced, and the test efficiency and accuracy are improved.

Most of the existing testing tools automate the process of test case execution, however, these depend largely on an expert to manually write the test cases and pass parameters of the software to the test cases. Embodiments of present disclosure provide a method and system for automated parameterized software testing. The method involves-test case design, test case execution and report generation. The test case design involves identifying a set of parameters from a test automation suite for testing a web-based software application. Then, relevant test cases are identified, and a second set of parameters are obtained from the web-based software application. Next, test case execution is done through one or more of: i) a code development tool, ii) a command with arguments, iii) a build tool, and iv) an application server. Finally, a report is generated based on test case execution indicating the status of the test cases.

The invention relates to an equipment start-stop control method and device, equipment and a storage medium, and the method comprises the steps: obtaining a test configuration parameter inputted by a user, and the test configuration parameter comprises a communication mode; based on the test configuration parameters, controlling the to-be-tested device to be powered on, and starting timing; establishing communication with the to-be-tested device according to the test configuration parameters, and analyzing the response of the to-be-tested device based on a preset verification rule to determine whether the to-be-tested device is normally started within a preset maximum allowable starting time; and in response to the starting exception of the to-be-tested equipment, executing exception handling operation. A user carries out parameter configuration before testing through a graphical interface of a start-stop testing tool corresponding to the equipment start-stop control method, the parameters determine follow-up control, verification and processing behaviors, the equipment start-stop control method can adapt to different automatic equipment, and software development does not need to be repeated for the different automatic equipment.

The application discloses a vehicle remote compliance test method, device, equipment and medium, and relates to the technical field of Internet of Vehicles safety, and the method comprises the following steps: reverse analyzing the CPU architecture of a target vehicle terminal to determine a to-be-tested program, and transmitting a compliance test tool into the target vehicle terminal; injecting the to-be-tested program into the compliance test tool, and then starting the compliance test tool to generate a test log; acquiring a request log sent by a server in the compliance test tool, and sending the test log to the server based on the request log, so that the server generates a test report based on the test log. Through the above scheme, the test efficiency is improved without closing the daemon process, without performing simulation, and only by transmitting the to-be-tested program into the compliance test tool, the test log can be generated, and then the test report is generated by using the test log.

The invention relates to the technical field of artificial intelligence, is applied to medical and financial scenes, and discloses a cloud native architecture-based performance test method, device, equipment and medium, and the method comprises the steps of receiving an integrated test request which is input by a user and comprises environment construction parameters and test task parameters; analyzing the environment construction parameters and the test task parameters, generating a standardized virtual test environment, obtaining a corresponding test tool software package and a dependency item according to the identifier of the to-be-deployed test tool, and deploying the test tool software package and the dependency item to the standardized virtual test environment; according to the test task parameters, triggering performance test script execution in the standardized virtual test environment, and collecting performance index data through the monitoring agent; and collecting an original result log output by the test tool and performance index data collected by the monitoring agent, analyzing and cleaning the data, extracting key performance indexes, associating the key performance indexes with currently tested metadata, and storing the key performance indexes in a performance baseline database in a structured format. The test process is simplified and the efficiency is improved.

The invention relates to the technical field of petroleum engineering, and discloses a shaft duct plugging test device and test method. The shaft hole channel plugging test device comprises a cylinder body, a hole channel forming tool, a hole channel plugging tool and a sealing performance test tool, a pouring cavity is formed in the cylinder body, and a filling material is injected into the pouring cavity to form a filling structure. The hole channel forming tool comprises a mold rod, the mold rod can be inserted into the pouring cavity and embedded into the filling structure, and the mold rod can be demolded from the filling structure so as to form a simulation hole channel in the filling structure. The hole channel plugging tool is configured to inject plugging materials into the simulation hole channel to plug the simulation hole channel, and the sealing performance testing tool is used for testing the sealing performance of the plugged simulation hole channel. The test device can accurately simulate the plugging condition of the plugging material on the shaft hole channel, so as to test the sealing performance of the plugging material for plugging the shaft hole channel, judge the reliability and feasibility of plugging the shaft hole channel by the plugging material, and provide a reference basis for shaft hole channel plugging engineering.

The invention provides a continuous integration method, device and equipment, a storage medium and a program product, and relates to the technical field of computers.The method comprises the steps that based on a pre-trained AI test arrangement agent, a test tool is called to test GPU operator codes, and a code diagnosis report is generated; based on an AI test orchestration agent, generating a code optimization suggestion according to the code diagnosis report and GPU hardware information; and based on the code optimization suggestion, correcting the GPU operator code to obtain a target operator code. By means of the mode, the artificial intelligence technology is introduced into the continuous integration process of the GPU operator codes, automatic testing, automatic diagnostic analysis, automatic correction and automatic continuous integration of the GPU operator codes are achieved, the efficiency of continuous integration of the GPU operator codes is improved, the continuous integration effect is optimized, and the method is suitable for being popularized and applied. And it is ensured that the subsequent target operator code obtained through correction based on the code optimization suggestion can adapt to hardware characteristics of the GPU.

The invention provides a mechanical arm calibration method and device, electronic equipment and a storage medium. The method comprises the steps that space coordinates of a test tool under a test camera coordinate system are obtained; wherein the test tool is loaded through the first mechanical arm, and the test camera is loaded through the second mechanical arm; first pose information of the first mechanical arm and second pose information of the second mechanical arm are obtained; based on the space coordinates, the first pose information and the second pose information, a mechanical arm calibration result is obtained; the mechanical arm calibration result comprises a first coordinate transfer matrix of the test tool relative to the first mechanical arm and a second coordinate transfer matrix of the first mechanical arm relative to the second mechanical arm; the mechanical arm calibration result is used for determining target position information of the to-be-tested point under the test tool. Calibration errors can be reduced on the premise of low cost, and accurate calibration of the mechanical arm is achieved.