33 results about "Test engineer" patented technology

The invention relates to an interactive visualization method, device and equipment for fuzzy test bottleneck breakthrough, and belongs to the field of network security. According to the method, all compiling modules in a tested program are combined into a complete intermediate code, and a global view of the tested program is obtained; generating a unique label for each function by using a hash algorithm; constructing a call graph and a control flow graph, and obtaining function call instruction information by scanning a basic block of each function; carrying out pile insertion on the basic blocks; performing a fuzzy test on the tested program after compiling and instrumentation, and obtaining runtime data in real time; according to the fuzzy test runtime data and the static analysis data, data-driven visualization is carried out, and a call graph, a control flow graph and real-time execution statistical information are displayed in real time; a test engineer is assisted through an interactive chart, and fuzzy test bottleneck constraints are positioned. According to the method, a test engineer can be helped to better understand and intervene the fuzzy test process, and the fuzzy test code coverage rate and the defect detection number are 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.

Containerized orchestration of secure socket layer virtual private network benchmarking is disclosed. A test portal can accommodate developing test event information (TEI) based on test input information. Test input information can be used to generate event images, e.g., containers, that can be readily scaled, mutated, etc., via a containerization environment instance. One or more event image can be groups into a pod. An event image can be a new container, a previously used container, or a permutation of a container. Event image(s) can be retrieved from external sources, e.g., a library, a commercial vendor of event images, etc. TEI can be based on a pod(s) and communicated to a device-under-test (DUT). DUT performance can be measured, and results can be accessed by an entity, e.g., a test engineer, a results analysis engine, etc. Results can be employed to direct subsequent DUT testing.

The invention relates to the technical field of board card testing, and particularly discloses a signal test case generation method and device, equipment and a storage medium, a board card design file of a target board card is identified by adopting an automatic identification mode to obtain a board card design file, element position information, element connection information and signal flow direction information between elements, and the signal test case generation method and device are used for generating a signal test case. According to the method and the device, the test point position and the test setting parameter are determined, the signal test case of the target board card is generated according to the test point position and the test setting parameter, a scheme capable of automatically generating the signal test case is realized, and a test engineer does not need to manually input test configuration information and manually write the test case; therefore, inconsistency of test standards caused by different writing personnel is avoided, human errors are avoided, and an efficient and low-error-rate signal test case generation scheme is realized.

The invention discloses an AI test case intelligent optimization verification method and system, and the method specifically comprises the steps: employing a causal discovery algorithm to analyze an implicit dependency relationship for an entity association structure in a test case knowledge graph, recognizing redundant test cases and invalid test paths, and obtaining a causal dependency network; on the basis of a causal dependence network, traversing uncovered entity relationship paths in the test case knowledge graph, and generating supplementary test case suggestions; dynamically adjusting analysis strategy parameters according to historical optimization data through a self-adaptive engine to obtain an optimization test case set; and based on the optimized test case set, generating an input parameter variation sample by using a fuzzy test engine, and expanding a test boundary. According to the method, the black box test efficiency can be remarkably improved, the test coverage rate and accuracy are improved, meanwhile, the workload of a test engineer is relieved, the user experience is improved, and an efficient and intelligent solution is provided for the field of software test.

Containerized orchestration of secure socket layer virtual private network benchmarking is disclosed. A test portal can accommodate developing test event information (TEI) based on test input information. Test input information can be used to generate event images, e.g., containers, that can be readily scaled, mutated, etc., via a containerization environment instance. One or more event image can be groups into a pod. An event image can be a new container, a previously used container, or a permutation of a container. Event image(s) can be retrieved from external sources, e.g., a library, a commercial vendor of event images, etc. TEI can be based on a pod(s) and communicated to a device-under-test (DUT). DUT performance can be measured, and results can be accessed by an entity, e.g., a test engineer, a results analysis engine, etc. Results can be employed to direct subsequent DUT testing.

The purpose of this application is to provide a test system for controlling the dimming of light sources, which realizes that the test engineer only needs to set up the corresponding actual test environment to be tested and obtain the desired target illuminance value. The system will automatically match the target calibration file corresponding to the target illuminance value, and based on the target calibration file, the automated dimming test system can quickly and accurately generate target illuminance values ​​under different distance values, reducing the engineer's workload and test efficiency. The entire process does not require manual intervention. The entire light source dimming test system will automatically calibrate and generate illuminance values ​​that meet the requirements through internal calculation and analysis, avoiding the tedious manual adjustment of light source illumination and the entire complex process of calculation and analysis, greatly improving the test efficiency of test engineers, and freeing engineers from complicated physical and mental labor.

The invention provides an automatic test case optimization design method for an automobile controller and a storage medium. The automatic test case optimization design method comprises the steps of obtaining a table containing XCP variable names of a to-be-tested controller; according to the table, selecting an automatic test case Mapping program template; mapping is carried out through an automatic test case Mapping program template according to a first preset rule, and a signal variable corresponding to Mapping is stored; selecting an automatic test case to generate a program template according to the signal variable corresponding to Mapping; and generating a test case according to a second preset rule through the automatic test case generation program template. According to the embodiment of the invention, the risks of low coverage and slow construction of the test cases caused by huge workload of test engineers can be overcome, and the coverage and consistency of the test cases can be ensured by designing the test case template, so that the test efficiency is improved, and the test cost is reduced. Therefore, an effective solution and an important basis are provided for the design of the test case of the controller of the new energy automobile.

The invention provides an influence surface analysis method and device aiming at code change. The method comprises the following steps: compiling a source code of a to-be-tested item into an abstract syntax tree; establishing a dependency graph of each abstract node based on the abstract syntax tree; establishing a graph search structure for a code change range in the source code; and analyzing the influence surface of the code change based on the dependency graph of each abstract node and the graph search structure of the code change range. The influence range of the code change on the product is analyzed, a product regression range is provided for a test engineer, and it is ensured that the code change does not affect the historical function of the product.

The present invention provides a DRAM test machine and method based on embedded logic analysis. An embedded logic analyzer is integrated in an ATE test control chip. The embedded logic analyzer is integrated in an ATE test control chip having a main control unit, a test vector generator, and a test result processor. The defects in the prior art are overcome, and the signals of the DRAM chip can be captured and analyzed in real time, so as to help test engineers quickly find problems and improve test efficiency. A plurality of signal channels can be monitored at the same time, so as to improve in-depth analysis capability, and specific trigger conditions can be set to capture key data. The complex timing behaviors of various DRAMs can be decoded and analyzed, so as to save test time. The machine is compactly integrated, does not occupy additional space, reduces costs, and improves benefits. The machine can quickly provide test results and feedback, and is helpful to shorten the test time of the DRAM chip and accelerate the test progress.

1. Name of the product in this design: Ornament (Test Engineer). 2. Purpose of this design: This design is intended for display, decoration, etc. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The design for which protection is sought includes color.

The invention provides a software testing method and device, electronic equipment and a storage medium, a recommended test type and a recommended test range are determined by receiving necessary test information of to-be-tested software, then an automatic script is generated according to the recommended test type and the recommended test range, and test environment deployment is performed according to a deployment configuration list. And executing the automated script in the deployed test environment to complete the test. Due to the fact that a test engineer only needs to fill in necessary test information of the to-be-tested software in the mode, the test can be completed, and the professional skill requirement for software test is lowered. Moreover, the required deployment environment can be automatically established by deploying the configuration list, so that manual deployment of the test environment is not needed, the time cost and the labor cost required by software testing are reduced, and the software testing efficiency is improved.

The invention discloses an AI automatic testing framework and belongs to the technical field of software testing. The invention provides an AI automatic test framework integrated with an AI technology to solve the problems that an existing interface test is low in efficiency, prone to errors and large in resource consumption, and test engineers are difficult to understand and encode interface documents. The framework has the functions of interface document intelligent analysis, test case automatic intelligent generation, test data intelligent generation and management, interface automatic test intelligent execution and test result intelligent verification and reporting. By means of the technical scheme, the interface testing efficiency and accuracy are improved, dependence on professional skills of testing engineers is reduced, the testing cost of enterprises is reduced, the rapid iteration software development requirement is met, and the urgent requirement of the industry for efficient and accurate testing is met.

Methods, system, and non-transitory processor-readable storage medium for a resource evaluation system are provided herein. An example method includes obtaining defect data obtained in response to executing software on a plurality of tester systems. The resource evaluation system determines a performance weighted metric associated with a defect detection resource and the defect data. Using the performance weighted metric, the resource evaluation system determines a defect scope delta percentage associated with the defect detection resource and the defect data. The resource evaluation system then determines a defect detection resource score based on the defect scope delta percentage.

The invention discloses a credible DCS controller credible function regression test method and related equipment, and the method comprises the steps: collecting a credible function code line or method name corresponding to a test case when a test engineer executes the test case, and inputting the code line or method name corresponding to the test case into a test case management system; when a research and development engineer modifies a corresponding code or method, a corresponding tool is used for extracting a changed code line or method name, and the test case management system automatically pushes a test case needing to be subjected to regression testing to the test engineer according to the code line or method name. After the pushed test case is executed, outputting a regression test report; therefore, the leakage detection risk of the test engineer during the regression test is solved, the test resources are reduced, and the project time is shortened.

The closed-loop test equipment for the primary frequency modulation test of the energy storage power station is provided with a frequency output module, a data acquisition module and a data analysis module. The equipment has the following beneficial effects: firstly, the frequency output module, the data acquisition module and the data analysis module are integrated and highly integrated, so that the portability and mobility of the equipment can be remarkably improved, and the equipment is more beneficial to field test development; secondly, only one test engineer and one guardian are needed when the test is carried out, and due to the fact that the field guardian is limited, the simplification of human resources is more beneficial to improving the test efficiency; and thirdly, automation of a test operation process and intelligent judgment of a test result can be realized through a preset automation program, so that the accuracy of test data is improved, and the test efficiency and the reliability of the test result are improved.

Methods, system, and non-transitory processor-readable storage medium for a resource evaluation system are provided herein. An example method includes obtaining defect data obtained in response to executing software on a plurality of tester systems. The resource evaluation system determines a performance weighted metric associated with a defect detection resource and the defect data. Using the performance weighted metric, the resource evaluation system determines a defect scope delta percentage associated with the defect detection resource and the defect data. The resource evaluation system then determines a defect detection resource score based on the defect scope delta percentage.

The invention discloses a resource scheduling method for test vehicle operation management based on the Internet of Things technology, and relates to the field of the Internet of Things, and the technical scheme of the invention comprises the following steps: 1) reorganizing a test vehicle: 2) preparing test driver resources; 3) preparing test equipment; 4) an Internet of Things terminal; 5) performing a test task; 6) resource scheduling; and 7) executing the test task. And through scheduling, an optimal matched test task list is generated, and a test engineer can perform a vehicle test efficiently. The business scenes and resources are classified and decoupled, and professionals do professional things, so that the use efficiency of test vehicles and the test efficiency of test engineers are greatly improved.

The invention provides a high-voltage electrical product test system and a control method thereof, and the system comprises a test cabin module which is used for constructing a test platform and collecting test data; the gas processing module is used for constructing a test condition based on the first control signal in the test platform in the test cabin module; the test power supply module is used for supplying power to the system; the automatic reversing module is used for switching a voltage circuit connected to a test product in the test platform based on the second control signal; the automatic acquisition and control module is used for generating a control signal according to a preset test scheme and acquiring test data acquired in the test cabin module for real-time analysis and judgment; wherein the control signal comprises a first control signal and a second control signal. According to the system, the other modules are efficiently integrated through the automatic acquisition and control module, and the acquired test data and monitoring data are judged, so that the intelligent control of the test process is realized, the test efficiency is improved, and the work intensity of test engineers is reduced.

The present invention relates to a test analytics and visualization system (A) developed for analytical examination, visualization and management of test processes and software test data of software companies, test engineers and test teams.

The embodiment of the invention provides a real-time prediction method and device for a basic software test threshold, and relates to the technical field of automobile software testing, and the method comprises the steps: constructing a data set, and dividing the data set into a training set and a test set; setting algorithm parameters, inputting the training set to the algorithm model for model training, inputting the test set to the trained model for testing, and outputting a predicted test threshold; evaluating and adjusting a test result; predicting the next test threshold value to generate a prediction result; the problem that the threshold value cannot be adjusted in real time in the current basic software test is solved, the dependence of threshold value determination on the subjective experience of a test engineer is weakened, high adaptability is achieved, and the stability and reliability of the vehicle-mounted operating system test are guaranteed.

The invention discloses an integrated automatic test method for a vehicle lamp test. The method comprises the following steps: S1, deploying a CAN open enviroent: a Canon test development environment can control a plurality of electronic test devices; s2, a test engineer enters the test system from the test software, if the test item is a new item, a new test script is generated by the Canon test development environment and then the step S3 is executed, and if the test item is an existing item, the step S3 is executed; s3, the Canon tests whether the development environment meets the conditions of the test bench and the test equipment or not, and if yes, the step S4 is executed; and S4, selecting a test bench and test equipment, selecting and executing a test case, and obtaining a test report. According to the integrated automatic test method for the vehicle lamp test, the load of manual test can be reduced, the test efficiency is improved, and the test comprehensiveness is ensured.

Embodiments of the present disclosure relate to an intelligent mechanism for evaluating performance of a test engineer. Methods, systems, and non-transitory processor-readable storage media for a resource assessment system are provided herein. An example method includes obtaining defect data obtained in response to executing software on a plurality of tester systems. The resource evaluation system determines a performance weighting metric associated with the defect detection resource and the defect data. Using the performance weighted metric, the resource evaluation system determines a defect range delta percentage associated with the defect detection resource and the defect data. The resource assessment system then determines a defect detection resource score based on the defect range delta percentage.

The invention relates to the technical field of data processing, and discloses an element logic acquisition method, which comprises the following steps of: in response to an action of clicking a target element bound with a code position on a target webpage, acquiring the code position of the target element; based on the code position and a page address of the target webpage, retrieving a related code of the target element; and acquiring a logic report related to the target element by adopting a machine learning model and based on the related code. According to the method, instant code logic insight can be provided for developers, test engineers, product managers and the like, so that the understanding and modification process of logic such as element display in complex projects is simplified.

The invention discloses a spacecraft autonomous function test method based on depth-first search, which realizes effective integration of numerous information in complex autonomous functions by taking autonomous function software requirements and processes as input, and solves the problems that a traditional autonomous function test method is single in means, tedious in process and easy to cause incomplete branch coverage. The labor cost of engineers is greatly tested, and the test design quality and efficiency are improved. Meanwhile, aiming at a spacecraft test scene, optimizing a depth-first search method and the like, the defect that an existing test adopts manual design is overcome, through an intelligent, high-accuracy and high-coverage algorithm, the problems of branch mistakes and omissions, incomplete coverage and the like possibly occurring in the design process are reduced, and the design accuracy and efficiency are greatly improved. By establishing the directed binary flow chart, unified management of test design and implementation is achieved, efficient test design and test implementation are achieved through the visual flow chart and the model library, and a new thought is provided for test design and implementation.

The invention provides a method for constructing a regression test, electronic equipment and a storage medium, and belongs to the technical field of software testing. By combining semantic analysis results of new and old cases (test cases and stock cases), a system-level second keyword object library is constructed, semantic changes caused by function changes can be automatically captured, and manual maintenance hysteresis is avoided. The first keyword object library is used as the reference data, the similarity between each stock case and the reference data is calculated, the high-correlation stock cases can be automatically identified for regression testing, and compared with the prior art for executing stock case total regression testing, redundant execution can be remarkably reduced, the testing efficiency is improved, and the testing efficiency is improved. And a test engineer does not need to manually label case relevance, so that manual intervention can be reduced, and omission is avoided.

The technical problem solved by the present application is: how to automatically, accurately and verifiably convert the business test intention described by product managers or testers in natural language (such as Excel spreadsheets or comma-separated value files (CSV, Comma-Separated Values)) into executable end-to-end test code that meets project specifications without increasing the coding burden of test engineers. In order to solve the above technical problem, the first aspect of the technical solution of the present application discloses an end-to-end automated test code generation system based on test intermediate representation and AI self-correction closed loop. The second aspect of the technical solution of the present application discloses an end-to-end automated test code generation method based on test intermediate representation and AI self-correction closed loop.

The invention is suitable for the technical field of ATE testing, and provides a PCIe ATE testing method and system based on JTAG, and the method comprises the steps: extracting waiting delay information of each output response data and bit delay information of each data bit according to a simulation excitation file before testing, and generating a corresponding configuration file, and taking the input simulation excitation file and the configuration file as test vectors, simultaneously importing the test vectors into the ATE test equipment, and automatically acquiring output data at a time point corresponding to the delay information of the configuration file by the ATE test equipment for comparison. Through the method, the comparison accuracy is improved, the workload of manual adjustment of a test engineer is greatly reduced, and the test efficiency is greatly improved.

This disclosure provides a vehicle testing method, apparatus, device, and computer-readable storage medium. The method includes: acquiring configuration information of a test vehicle; uploading the configuration information to a cloud to receive test cases sent from the cloud; the cloud storing the configuration information and the test cases; executing the test cases to obtain execution results; and detecting the execution results to determine whether the vehicle passes the test. This approach significantly improves the automation, intelligence, and accuracy of EOL (End-of-Life) testing, avoiding reliance on the experience and visual observation of test engineers during testing, and also avoiding the need to rewrite the software when test cases are updated or added.

The invention relates to a rail transit UI automatic test case generation method, system and device, and a medium. The method comprises the following steps: obtaining a test demand description of a rail transit signal system expressed in a natural language form; analyzing the test demand description into structured data based on a large language model; simulating a deducing thinking process of a test engineer by utilizing a large language model based on the structured data, and generating a compliant and executable UI operation sequence; converting the generated UI operation sequence into an executable test script, and calling an automatic test tool to execute corresponding operations step by step; in the test execution process or after execution is completed, feedback information is obtained and compared with a predefined expected result, and if the feedback information is consistent with the expected result, it is judged that the test passes; otherwise, recording fails and a corresponding process is triggered. Compared with the prior art, the method has the advantages that effective test cases can be automatically generated, and the like.