17 results about "Test engineer" patented technology

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 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.

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.

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.

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 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 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.

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.

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.

The embodiment of the utility model discloses a system-level test circuit of a chip and electronic equipment, and relates to the field of integrated circuit testing. The specific amplifier chip and the analog-to-digital conversion chip are adopted to construct the test circuit, use of an expensive special programmable instrument is avoided, and the purchase and maintenance cost of test equipment is remarkably reduced. The circuit design is simplified, so that the cost of the whole test system is more controllable, and the whole competitiveness of the product is improved. The design of the current and voltage conversion unit and the result measurement unit is relatively simple and clear, and the requirements for professional skills and knowledge reserve of test engineers are reduced. The test process is simplified, the operation steps are reduced, and the test efficiency is improved.

The application relates to an interactive visualization method, device and equipment for fuzzy testing bottleneck breakthrough, and belongs to the network security field. All compiled modules in a program under test are combined into a complete intermediate code to obtain a global view of the program under test; a hash algorithm is used to generate a unique label for each function; a call graph and a control flow graph are constructed; function call instruction information is obtained by scanning basic blocks of each function; the basic blocks are instrumented; the compiled and instrumented program under test is subjected to fuzzy testing, and runtime data is obtained in real time; according to the fuzzy testing runtime data and static analysis data, data-driven visualization is carried out, and the call graph, the control flow graph and real-time execution statistical information are displayed in real time; through the interactive chart, a test engineer is assisted in locating fuzzy testing bottleneck constraints. The application can help the test engineer better understand and intervene in the fuzzy testing process, and improve the code coverage rate of the fuzzy testing and the number of defect detections.

The memory bank SLT automatic test method, device and equipment and the medium provided by the embodiment of the invention comprise the following steps: in response to a received test type and test requirement selected by a target object, determining an initial parameter group and initial parameter ranges and initial unit step lengths corresponding to different parameters in the initial parameter group; testing the memory bank group based on each initial sub-parameter group, and determining the error occurrence rate of the memory bank group under each initial sub-parameter group; and according to the relationship between the error occurrence rate of each initial sub-parameter group and a preset error occurrence rate, and the initial parameter range and the initial unit step length corresponding to different parameters in each initial sub-parameter group, adjusting the parameters of each initial sub-parameter group until the error occurrence rate under each initial sub-parameter group meets the preset error occurrence rate. Automatic testing of the memory bank SLT is achieved, manual intervention is remarkably reduced, the parameter optimization process is more autonomous, intelligent and repeatable, and dependence on experience of test engineers is reduced.