2119 results about "E testing" patented technology

The invention discloses a verification method and system of a chip simulation model, a medium and a program product, and relates to the technical field of chip verification, and the method comprises the steps: obtaining a simulation model and a performance parameter index of a to-be-verified chip; generating model training data based on the historical performance indexes, the corresponding historical use case set and the historical verification result, and performing model training based on the model training data to obtain a use case generation model; inputting the performance parameter indexes to a case generation model to obtain a test case set and a test verification expectation; executing a plurality of test cases in the test case set based on the simulation model, and recording an actual response result of the simulation model; based on the actual response result and the test verification expectation, generating a test log, and determining an abnormal mark in the test log; and marking the fault features corresponding to the exception, taking the test cases as newly added training data, and optimizing the case generation model based on the newly added training data. According to the invention, the chip verification efficiency can be improved.

The invention discloses an electromagnetic environment simulation method and system of a display module, a medium and a product, and relates to the field of electromagnetic variable measurement, and the method comprises the steps: receiving a test identification code inputted by a user, extracting a plurality of target scenes corresponding to the test identification code from a preset scene library, and generating a scene change sequence; determining a radio frequency interference source combination and a mechanical vibration parameter corresponding to the target scene; setting test parameters of the test time periods corresponding to the multiple target scenes, and generating a dynamic test sequence; receiving a key test scene marked by a user, and adjusting a test time period and test parameters corresponding to the key test scene to obtain a target test sequence; simulating an electromagnetic environment of the target display module, and recording simulation test parameters of the target display module; the simulation test parameters comprise display brightness, contrast and response time; and determining an electromagnetic compatibility evaluation result based on the target test sequence and the simulation test parameters. According to the invention, the accuracy of an electromagnetic compatibility test result can be improved.

The invention discloses a method and a system for realizing automatic code generation by using multiple AI Agents, and relates to the field of electric digital data processing, a test driving agent receives a task transmitted by a previous node, and generates a task number, a task description, test data, a unit test script and a code statement; the code generation agent generates or updates codes according to the received task description and code declaration; the test driving agent returns an integrated test script and test data according to the task number; the continuous integration agent performs integration verification and regression test and feeds back information; the test driving agent returns a function test script, a performance test script and test data according to the task number; and the continuous deployment agent carries out continuous delivery and deployment and feeds back information. By means of mutual conversation and cooperative work of multiple AI Agents and in combination with a feedback mechanism, the problem that a single large model cannot complete complex software development tasks is solved, full-process operation automation can be achieved, and the code generation quality and efficiency can be improved.

The invention discloses a scene granularity interface test case generation method based on multiple agents, and the method comprises a plurality of large language model agents and related components, namely context memory, an observer, a decision maker, an executor, a supervisor, a recorder and a to-be-tested application. An observer identifies the interface control, detection and attribute identification of the control are effectively focused, and it is ensured that accurate data input is provided for subsequent testing steps. Based on the output of an observer, a decision maker generates a detailed plan of the next operation according to the current page state, and an operation strategy can be independently formulated, so that test generation is supported by business scene logic. And an executor analyzes and executes the generated plan operation, carries out test operation strictly according to the plan, and ensures the traceability and repeatability of the test process. Furthermore, the supervisor verifies whether the operation is executed according to the plan and meets the requirements of the target scene, and makes corresponding feedback according to the check result, thereby ensuring that the wrong operation is corrected in time, avoiding the continuous accumulation of errors, and ensuring the effectiveness of each test step. The recorder is responsible for storing the execution instruction and the context information of the test process to the context memory, and the operation history and result in the test process can be traced through the test context information, so that a better decision can be made in the subsequent iteration, and the result export after the test is completed can be effectively supported. And after the recording is finished, the test generation enters the next iteration until the coverage of the test scene is finished.

The present application provides a code testing method, applied to a code testing system. When a test code is generated, context information of a code under test is extracted, and the test code is generated on the basis of the context information of the code under test. The context information often has a service meaning and can embody a test scenario, so that the prior knowledge of the service and the test scenario is achieved in the generation process of test codes, thereby generating test codes having higher quality.

Systems and methods for testing a power plant emulation are disclosed. Software for an energy management system is deployed to a computer system comprising computing devices. A model of a power plant site is deployed to a test framework. Test commands and / or use cases are injected, via the test framework to public energy management system end points. The test commands and / or use cases are used to emulate and test the model of at least the portion of the power plant site and to generate simulated operating parameter values. The generated simulated operating parameter values of the model are compared with expected values. A determination is made as to whether the model passed testing using the comparison. After determining the model passed testing, software, corresponding to at least a portion of the model, is made available for deployment to operate a physical version of the power plant site.

The invention provides a method and system for preparing a high-temperature anti-aging test board for chip testing, and relates to the technical field of data energy storage and resource scheduling, and the method comprises the steps: designing a schematic circuit diagram and a PCB wiring scheme; a test plate is made of a high-temperature resistant material; bare board verification, electrical performance verification, program setting verification, high temperature verification and junction temperature measurement verification are carried out; using data is recorded, ultrasonic cleaning and drying are carried out, and a performance evaluation model is established through a hardware management system to judge whether maintenance or replacement is needed. According to the invention, the accuracy of chip testing in a high-temperature environment is improved, and the service life of the test board is prolonged.

The invention relates to the technical field of computer data processing, in particular to a multi-model collaborative distillation and dynamic fine tuning model training method and system. The method comprises the steps that data collection is conducted, unlabeled data are input into a model to be made into labeled data, the labeled data and labeled data are integrated into a data set, and then the data set is divided into a training set, a verification set and a test set; inputting the training set into the model, guiding the model to generate extended data by cue words, and training a student model by using an extended training set; the student model is evaluated on the verification set, if the evaluation result shows that the evaluation index of the student model does not reach the expected value, error information is input into the model for analysis and data generation, and then the student model is adjusted until the evaluation index of the student model reaches the expected value; the method has the advantages that multiple large language models are used for collaborative distillation, training data are richer and more diversified, student models are more accurate, and the student models are circularly and dynamically fine-tuned, so that the models are higher in precision and adaptability.

The invention provides a DFT test task management method and device, electronic equipment and a storage medium, and belongs to the technical field of chip design verifier.The DFT test task management method comprises the steps that a data model is constructed on the basis of a design module list and a test step list, the data model is used for indicating testability design DFT test steps of all design modules, and the test steps of all the design modules are stored in the test step list; the data model comprises a plurality of DFT test tasks, attributes of each DFT test task comprise a selection state, and the selection state comprises a selected state and a non-selected state; based on the interactive input, determining at least one DFT test task of which the selection state is selected as an executable DFT regression object; and according to the DFT regression object, driving a DFT test task to be executed. According to the method, the DFT test tasks are normalized through the data model, only the DFT test tasks need to be selected for making the test plan, efficient management of the DFT test tasks is achieved, and the regression test efficiency is improved.

A method for planning and executing a test of a DUT includes receiving a test description from a user via a GUI, where the test description identifies the DUT and an objective of the test; composing a prompt for querying a large language model (LLM) based on the test description, where LLM includes a trained machine learning algorithm; sending the prompt to the LLM via an API; determining, using the LLM, a test plan for executing the test to be performed in response to the prompt to achieve the objective of the test based on the test description and general testing information, where the test plan identifies a type of test, test instruments for performing the test, a test procedure using the instrument, and parameters of the DUT to be measured according to the test procedure; providing, via the GUI, the test plan to the user for testing the DUT.

Provided in the present application is a code generation method. The method is executed by a code generation system, wherein the code generation system is used for automatically generating a test code. The method comprises: receiving a test step description inputted by a user; retrieving a text code pair vector library and a test method vector library on the basis of the test step description, so as to obtain a test code fragment and a test method use case which correspond to a similar test step description, wherein the text code pair vector library comprises description text and a vector formed by a corresponding test code, and the test method vector library comprises a vector formed by the test method use case; then, on the basis of the test code fragment and a test method which correspond to the similar test step description, performing reasoning by means of a large language model (LLM), so as to generate a test code corresponding to the test step description; and presenting to the user the test code corresponding to the test step description. The method combines retrieval with LLM reasoning, such that a complex test code can be automatically generated, thereby improving the efficiency of automated development in complex test scenarios.

The invention provides a fault simulation test method and device, electronic equipment and a storage medium. In the fault simulation test method, when a test instruction sent by a user is received, test parameters are configured based on the test instruction; wherein the test parameters comprise a test type, a fault parameter and a test target. And based on the test type and the fault parameter, configuring a network rule through a flow controller, and generating a fault simulation scene. And injecting the fault simulation scene into the test target, and carrying out performance test on the test target. And monitoring performance indexes of the test target in the test process, and generating a test report of the test target. Therefore, by utilizing the method provided by the invention, different types of network delays or faults, such as delay increase, packet loss and connection interruption, can be accurately injected into the target server, so that the stability and the performance of software or service under bad network conditions are effectively evaluated, and the flexibility and the expandability of the system are ensured at the same time.

The invention relates to a multi-driving-style high-risk automatic driving cut-in scene test method and system, and the method comprises the steps: collecting original driving track data, carrying out the clustering of driving styles, and generating a risk cut-in scene track cluster with consistent driving styles through employing a Cutin-TimeGAN network model in combination with physical feasibility constraints; constructing a cost function, calculating a cost function value for each risk cut-in scene trajectory cluster, and selecting a target cut-in reference trajectory as a target reference state vector; constructing a game framework, and combining a target reference state vector to construct a utility function according to the state vectors of the VUT and the test confrontation vehicle in the framework; constructing a risk confrontation utility function based on the predicted collision time; a game optimization problem is constructed and solved, an optimal interaction track of the test confrontation vehicle is obtained, and a closed-loop high-risk automatic driving scene switching test is carried out based on the optimal interaction track; the system is used for implementing the method. Compared with the prior art, the method has the advantages that testing of authenticity and high-risk confrontation of multiple driving styles is considered.

The invention discloses a test case execution method, electronic equipment, a storage medium and a program product, and relates to the technical field of software testing, and the method comprises the steps: obtaining test data features in a test case execution process, carrying out the grading of a test case based on the obtained test data features to determine a grade coefficient, according to the method and the device, the priority of the test case is dynamically adjusted according to the test data characteristics of the test case, the test case is executed according to the priority score of each test case, the execution sequence of the test case is dynamically adjusted, the dynamic adaptability of the test case is improved, and the test efficiency is improved. Therefore, the test efficiency can be ensured, and the determination of the priority score also fuses the test module and the test function point, so that the test cases of the important module and the core function point can have higher priority scores, the execution is preferentially performed, and the coverage integrity of the core function and the error-prone module can be ensured.

The invention discloses a multichannel extended hard disk automatic test device and method. The multichannel extended hard disk automatic test device comprises a control server, a network switch, a test host and a test device, the control server is connected with at least one test host through a network switch, each test host is connected with a test device through a programmable power strip, and the test devices are connected with multiple paths of hard disk equipment; the control server can generate test parameters and issue the test parameters to the test host with the network wakeup function, and the test host can automatically call corresponding test scripts according to the received test parameters, execute test tasks on the hard disk, record the test process and result and upload the test process and result to the control server; the test device can realize automatic switching of a plurality of hard disks of the same test host interface according to the test parameters; and meanwhile, the power supply of the test host is controlled through the programmable power strip so as to generate abnormal power failure test excitation. According to the invention, a single test host can automatically and orderly test a plurality of hard disks in batches.

The invention discloses a Web automatic testing method, system and device, a medium and a program product, and belongs to the technical field of artificial intelligence. The method comprises the steps that test case abstract representation information is generated according to interactive input of a user and a test case mapping template, and the test case abstract representation information comprises a target test task type indicated by the interactive input and intention natural language description information; based on the test case abstract representation information, obtaining a target screenshot of the tested Web page and attribute information of interaction elements; a multi-mode large language model is called to conduct reasoning based on the target screenshot, the attribute information of the interaction elements and the intention natural language description information, reasoning result information is output, and the reasoning result information represents operation executed on the target interaction elements located at the target position in the tested Web page; and converting the reasoning result information into a machine executable instruction, and executing the machine executable instruction. According to the embodiment of the invention, the stability of Web automatic testing can be improved.

The invention discloses a full-process automatic unit testing method, device and equipment for an AI chip operator, a medium and a product. The method comprises the following steps: generating an engineering directory and a test framework design document through an architect agent according to operator interface information and a DSL operator design document knowledge base; the method comprises the following steps of: generating a test code for unit test by a software engineer agent according to a test framework design document and a domain knowledge base, and storing the test code in an engineering directory; multiple rounds of interaction are carried out through a software engineer agent and a test engineer agent, a test code is gradually corrected into a target test code which can be successfully compiled, a generated test case can be successfully executed and the generated test case meets the code coverage rate requirement, and a target operator code passing a unit test is obtained; and submitting the target operator code and the target test code which pass the normativity check to a code warehouse through a code auditing engineer agent so as to automatically realize the whole-process unit test of the AI chip operator.

The invention provides a reliability test evaluation method and system for an integrated circuit chip, and relates to the technical field of integrated circuit chip test.The method comprises the steps that a test target and a test index are defined; constructing a multi-level test environment; performing a dynamic stress test in the constructed multi-level test environment; based on the historical test data and the monitoring data, establishing a prediction model by using a machine learning algorithm to predict performance changes and potential faults of the integrated circuit chip under different conditions; performing intelligent diagnosis on faults occurring in the test process by using the established prediction model, and positioning a fault source; and continuously monitoring the test process through the online remote monitoring platform, and dynamically adjusting the test parameters and the test strategy according to the monitoring data and the prediction result of the prediction model. The reliability of the integrated circuit chip is comprehensively and accurately evaluated, and the test efficiency and the fault prevention capability are improved through a multi-level test environment, machine learning prediction and intelligent diagnosis.

The invention provides a vulnerability perception deep neural network test method and system based on an interpretable framework. An adversarial sample data set is generated through multiple adversarial attack methods, adversarial samples are analyzed by using a DeepLIFT framework, contribution scores of pixels to model decision are calculated, and a vulnerable area is accurately positioned through morphological operation. And then, variation is carried out in the determined vulnerability region by adopting a genetic algorithm, so that a test case can be obtained. And finally, inputting the test case into the target network, evaluating the false triggering number and the test coverage rate, and continuously iteratively optimizing. According to the method, the coverage rate and the error triggering rate of the test case are improved, and the robustness of the model is enhanced.

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

The invention relates to the technical field of welding strength detection, and discloses a communication system sub-element packaging welding strength detection device, which comprises a push-pull force testing machine main body, a clamp is arranged in the middle of the bottom surface of the push-pull force testing machine main body, and consoles are arranged on the two sides of the push-pull force testing machine main body. And an operation handle and a plurality of control keys are arranged on one console. According to the packaging welding strength detection device for the communication system sub-element, when parts such as the protective shell and the test module need to be controlled to descend quickly, the impact ball can impact the surface of the ejector rod to make a sound for reminding; meanwhile, when the chip is in place, a triangular plate and two first arc-shaped elastic conducting strips form circuit series connection and then buzz is made to remind an operator that the testing head is about to reach a designated position, so that the testing head can be controlled to rapidly reach the designated position, and meanwhile damage caused by collision between the testing head and the chip is avoided.

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.

A test method, system, apparatus and device for an energy storage control system, and a storage medium. The test method comprises: receiving test indication information (S201); on the basis of the test indication information, simulating an associated device connected to a device to be tested in an energy storage control system, and determining simulation-associated parameters (S202); and on the basis of the simulation-associated parameters and the test indication information, testing the device to be tested, and receiving a test result of the device to be tested (S203). A test device (104) can implement the simulation of any device associated with a device to be tested in an energy storage control system. Specifically, interface implementations and function execution logic implementations of any device can be simulated, and the simulated interface implementations or function implementations are implemented by means of simulation-associated parameters. Therefore, the test process is not limited to testing a specific type of device to be tested, and multiple types of tests can be implemented, thereby improving the applicability of the test method to a certain extent.

The invention relates to a front-end code testing method and system, electronic equipment and a storage medium. The method is applied to a code analysis system and comprises the steps that a code test task for a to-be-tested front-end code is received, the code test task comprises use case constraint conditions and test target information of the to-be-tested front-end code, code feature vectors are extracted from the to-be-tested front-end code, and the test target information is sent to the to-be-tested front-end code; and iteratively generating a target test case according to the case constraint condition and the test target information, and obtaining a test result of the to-be-tested front-end code by running the target test case and the error detection code feature vector. According to the scheme provided by the invention, the defect of the to-be-tested front-end code can be efficiently and comprehensively captured, and an accurate and reliable test result is output.

The present disclosure discloses a testing system, a battery production line, and a testing method. The testing system includes a control device and a test device. The test device includes at least two probe card adjustment assemblies. The control device is connected to the test device and configured to adjust the probe card adjustment assemblies according to an adjustment strategy, and drive the adjusted probe card adjustment assemblies to test the battery module currently to be tested. The adjustment strategy is determined based on current module information corresponding to the battery module and historical module information. The historical module information is the module information of a battery module tested last time. The technical solution provided by the embodiments of the present disclosure can quickly adjust the probe card adjustment assemblies to adapt to different battery modules.

The invention relates to a four-probe flying probe test equipment path optimization method and device and a storage medium. The method comprises the steps that a task input module receives basic constraint conditions and test task information; if a fixed grouping mode is adopted, the four probes are fixedly divided into two groups according to basic constraint conditions, the distances of the two groups of probes from the current test task to the optional next test task are sequentially calculated, and the moving path of each group of probes is planned; if a variable grouping mode that the probes are allowed to change groups in the testing process of each step is adopted, an optimization objective function of each step of each probe is calculated in sequence, and a moving path of each probe is planned; and according to the planned moving path of each probe, the control execution module controls each probe to move in sequence to complete a test task. The constructed mathematical model more comprehensively and accurately reflects the actual situation of the four-probe flying probe test, provides a more reliable theoretical basis for path optimization, and is beneficial to improving the optimization precision of the test path.

The invention provides a code generation method which is executed by a code generation system, the code generation system is used for automatically generating a test code, and the method comprises the following steps: receiving a test step description input by a user, retrieving a text code pair vector library and a test method vector library according to the test step description, the text code pair vector library comprises description texts and vectors formed by corresponding test codes, and the test method vector library comprises vectors formed by the test method calling examples; and according to the test code snippets and the test methods corresponding to the similar test step descriptions, reasoning through a large language model (LLM), generating test codes corresponding to the test step descriptions, and presenting the test codes corresponding to the test step descriptions to a user. According to the method, retrieval and LLM reasoning are combined, the complex test code can be automatically generated, and the automatic development efficiency of the complex test scene is improved.

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating function code and test code to determine that the function code satisfies an intent query. For example, the disclosed systems utilize a large language model to process an intent query and generate function code that defines one or more processes whose execution satisfies the intent query. In addition, the disclosed systems also utilize the large language model to generate test code that defines a function test for determining that the function code satisfies the intent query. Moreover, the disclosed systems can execute the test code to determine that the function code satisfies the intent query.

The invention discloses an automatic UI self-healing test method and system based on multi-agent AI, and belongs to the technical field of automatic UI tests.The automatic UI self-healing test method comprises the steps that an original test script is semantized through a test reasoning interpretation class, and an expected intention is output; when the test fails, synchronously collecting multi-source data and extracting multi-modal features, constructing a fault propagation graph according to an expected intention and the multi-modal features, and performing fault propagation analysis by using a graph attention network to obtain a fault diagnosis result; according to a fault diagnosis result, a deep Q network, a greedy strategy and a Byzantine fault-tolerant algorithm are adopted to negotiate and decide a repair strategy through a distributed agent cooperation mechanism, and feedback is obtained; optimizing and dynamically adjusting the repair strategy and the test reasoning interpretation class through a meta-learning algorithm based on feedback; a test intention is deeply understood by constructing a test reasoning interpretation class, and fault diagnosis and automatic repair are cooperatively completed by adopting a distributed intelligent agent, so that the semantic understanding capability, the diagnosis accuracy and the repair success rate are improved.

Disclosed in the present application are an aircraft final assembly and integration testing platform and testing method. On the basis of a rational platform architecture, structured process data preparation, model-based operation guideline document preparation, and dispatch assistance decision-making are realized by means of an application layer, such that uniform data sources in the field of final assembly can be achieved. Data uploading and issuing between an industrial control network and an internal network, and data interaction control between layers are implemented by means of the mutually collaborative operation of the application layer, a storage layer, an edge layer and an execution layer, thereby improving the information acquisition efficiency and the operating efficiency. The edge layer and the execution layer collaboratively operate, so as to realize the interactive collaboration between the assembly guidance work for operators and automatic testing, thereby improving the efficiency of data information acquisition, operation instruction and fault handling during a final assembly and testing process of an aircraft.