248 results about "Regression testing" patented technology

The invention discloses a test case determination method and device, a computer readable storage medium and a processor. The method comprises the following steps: identifying a source code of software by utilizing a pre-trained large model to obtain a plurality of functional modules in the software and a dependency relationship among the plurality of functional modules; in response to updating of the source code of the software, determining a code updating part in the source code; determining a test case matched with the code updating part from a test case library of the software based on the code updating part and a dependency relationship among the plurality of functional modules, the test case being used for testing the code updating part; based on a test result of the test case, adjusting a selection strategy of the test case; and re-determining the test case for testing the code updating part based on the adjusted selection strategy of the test case. The technical problem that a traditional regression test strategy is low in test efficiency is solved.

A method is provided for optimizing regression testing in a software development environment. The method includes analyzing source code to create a structural dependency graph that maps dependencies between code elements; identifying changes in the source code between a current version and a previous version; mapping the identified changes onto the structural dependency graph to determine affected code elements; selecting a subset of regression tests based on the affected code elements identified in the dependency graph; and executing the selected subset of regression tests to validate the changes in the source code.

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 relates to the technical field of chip verification, and discloses a chip verification method, test equipment and a chip verification system.The method comprises the steps that a template file is built, a verification environment and a test case are generated based on the template file, a configuration file is obtained, and parameters in the verification environment and the test case are updated through parameters in the configuration file; according to the method, the verification environment and the test case are updated, the updated verification environment and the updated test case are obtained, regression testing is carried out on the chip on the basis of the updated verification environment and the updated test case, the test result is obtained, the verification environment can be rapidly generated on the basis of the template file, parameters can be rapidly replaced, and the chip testing efficiency is improved.

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.

The invention relates to the technical field of automatic testing, and discloses an automatic test case generation method and device and a medium, and the method comprises the steps: constructing test case knowledge bases of different fields, and carrying out dynamic and static joint feature analysis on code libraries corresponding to field test data; performing intention recognition on the test demand data, and performing atomization operation on the test demand data according to the test demand intention; identifying a test demand code block associated with the test demand data; generating a basic test case of the test demand code block according to the atomization parameter, and injecting an abnormal stream into the basic test case according to the atomization parameter to obtain a target test case; and selecting a similar test case corresponding to the target test case from the test case knowledge base, performing regression test on the test demand code block by using the regression test case, and optimizing the regression test case according to a test result to obtain an automatic test case. According to the invention, the coverage rate during test case generation can be improved.

The invention discloses a communication protocol automatic analysis and test data generation method and system, and the method comprises the steps: analyzing an unstructured protocol document, recognizing a fixed field and a variable field in the document, and outputting structured data; automatically generating test data based on the structured data, dynamically calculating a checksum according to a specified check algorithm type in the structured data, and filling the checksum into the original message to form a complete test message; and generating a standardized test data set according to the complete test message. According to the method, manual intervention is not needed from document analysis to test data generation, the analysis efficiency is improved, and most protocol scenes are covered through the boundary value, the abnormal value and the orthogonal combination strategy. The method supports various document formats, data types and verification algorithms, adapts to protocol standards of different industries, facilitates problem positioning and regression testing through standardized output documents, and reduces the maintenance cost.

A method of improving chatbot accuracy includes receiving an input test file containing chatbot interactions data including utterances, expected intents, and expected responses. For each interaction, the method may generate predicted intents and responses using an AI-based chatbot trained on previous interaction data. The method may determine similarity between predicted and expected responses / intents by calculating Levenshtein distances and comparing to predetermined thresholds. Failed interaction keywords may be extracted using natural language processing to identify failing topics. Machine learning decision tree classification may analyze patterns in failed interactions to generate resolution suggestions. The method may generate an interactive dashboard displaying historical performance trends, domain-specific accuracy metrics, visualizations of frequently keywords, and confidence distributions for failed interactions. This automated regression testing approach enables efficient identification and resolution of chatbot performance issues while maintaining response quality.

The invention relates to the technical field of chips, in particular to a chip regression test method based on to-be-tested design configurations, electronic equipment and a medium, and the method comprises the steps: automatically generating a test case corresponding to each to-be-tested design configuration through setting chip regression test starting parameters and pre-constructed test case reconstruction information; recording test case states of a regression test preparation process and an operation process which need to record historical information in a database, and optimizing each to-be-tested design configuration to allocate a corresponding resource configuration based on a user identifier, historical regression test information corresponding to a to-be-tested design identifier and a current machine load; and the chip regression test efficiency and accuracy are improved.

The invention provides a front-end regression test method, a program product, electronic equipment and a storage medium. The method comprises the following steps: acquiring user behavior data of a user in a to-be-tested application program; based on the element positioning information, performing semantic annotation on the user behavior data through a predefined rule and / or a semantic understanding model to obtain semantic information; based on the network request data, grouping the labeled user behavior data, and screening out a test case corresponding to a single page path for a user behavior data group; restoring the test environment to an initial state; determining a target element corresponding to the interactive operation data in the test case by adopting an element positioning algorithm; and in the initial state, executing a corresponding interaction operation based on the target element, and completing test playback. Therefore, the test script has higher adaptability to local change of the front-end page, the large-scale failure risk of the test case caused by the change of the page structure is reduced, and the stability and reliability of the test are enhanced.

In the DevOps process, testing teams use automated testcases to test a product in a regression testing running daily, which generate thousands of log files per run, in various distributed environment with different formats. Solutions to errors depend on SMEs and the impact of solution leads to rework of defect / errors and high degree of heterogeneity. This leads to huge bottleneck in automation of DevOps process leading to loss of productivity and agility. Present disclosure addresses the challenges by providing systems and methods that auto capture the log files of different formats efficiently in a scalable, extendible, and plug-able way. The system then mines and parses the log files based on given identifiers to standardize and de-duplicate to create unique error records with detail description including cause, position, module, timestamp, etc. The system predicts the solutions leveraging the database containing solutions and errors by using a modified Smooth Inverse Frequency technique.

The invention provides an automatic simulation test system and method for a semiconductor EAP system, and belongs to the field of semiconductor manufacturing, and the method specifically comprises the steps: defining a test scene through test case coding; constructing a test environment by using the equipment simulation module and the external system simulation module; driving a test process of the tested EAP program through an automatic execution engine and generating real-time output data corresponding to the tested EAP program; and comparing the real-time output data generated by the automatic execution engine with an expected result, and generating a test report. According to the processing scheme, behaviors of equipment and an external system are truly simulated in a software simulation mode, an actual production scene is accurately restored in a test link, dependence on a physical environment is reduced, and test coverage is improved; and moreover, the test scene is solidified through codes and configuration files, so that the versioning management and one-key automatic regression test of the test cases are realized, the test efficiency is remarkably improved, and the quality of secondary development is guaranteed.

The invention discloses a test system and method for generating capability evaluation based on a large model, and the method comprises the steps: S1, carrying out threat modeling, and generating a test case, including classifying a threat scene and generating an automatic test case, the generation content of the test case including generation of an adversarial sample and generation of a privacy test case; s2, a multi-dimensional test is executed, the multi-dimensional test comprises a dynamic test engine and real-time defense detection, and test indexes of the dynamic test engine comprise a sensitive information leakage rate, a malicious instruction execution rate and a prejudice index; s3, performing vulnerability diagnosis, including analyzing attention weight and tracing privacy leakage; and S4, performing verification and iterative repair, including collecting vulnerability samples, performing mixed training, adjusting a loss function and performing regression testing. Through threat modeling and attack scene classification, various potential attacks can be identified and covered, test comprehensiveness is ensured, neglected potential safety hazards can be found, and test effectiveness is improved.

The invention discloses a full-link traffic playback test method and system for a financial system, and the method comprises the steps: forwarding network traffic from a production server to a pre-release environment server, and carrying out the preprocessing, and then generating real-time traffic; performing full-link playback on the real-time traffic in the pre-release environment server, generating a playback result, and feeding back the playback result to the test platform to generate monitoring data; and converting the real-time traffic into historical traffic, performing full-link playback, and generating monitoring data. And according to the response state and the monitoring data of the pre-release server, analyzing the defect of version change to generate a daily test report. According to the invention, full-link closed-loop testing is realized, and a full-service system is covered. All-time testing is supported, request sending is flexibly configured, and continuous flow playback during the market opening period is ensured. Through testing flow classification, the flow is forwarded and stored in real time, the environmental difference is solved through preprocessing, and the defect discovery rate is improved. The problems of insufficient full-link regression test means, incomplete scene coverage and low test efficiency in the prior art are solved.

The invention provides a UVM-based instruction set acceleration component verification platform construction method, which comprises the following steps: firstly, generating a required instruction signal according to an input signal of an acceleration component by a verification platform, then generating a floating-point number meeting calculation requirements according to requirements, and meanwhile, ensuring the configurability of various parameters which are random and excited in an effective range of operational data; a C-based soft library is called as a reference model for comparison with a hardware output result, so that the verification accuracy is ensured; then collecting and merging coverage rate files obtained by excitation operation through scripts to realize convergence of the coverage rate and ensure the completeness of verification; and finally, when hardware design finds an error and is modified, a verification platform can be called to carry out a regression test, so that the method has relatively high reusability, and the verification efficiency is improved.

The invention relates to the technical field of software development and testing, and discloses an automatic testing integrated system in a software development process, which comprises a testing management module used for formulating a testing plan, designing a testing case and managing testing execution; the automatic testing module is used for integrating and executing unit testing, function testing, regression testing, performance testing and safety testing; the continuous integration and continuous delivery module is used for automatically constructing, testing and deploying the process; the environment management module is used for configuring, simulating and virtualizing a test environment; and a reporting and analysis module. Various testing tools such as unit testing, function testing, regression testing, performance testing and safety testing are integrated into one system, so that the problems of diversity and integration difficulty of the testing tools are effectively solved. Different types of testing tools are managed and coordinated in a unified mode, the complexity of the testing process and the compatibility problem between the tools are reduced, and the testing efficiency is improved.

The invention relates to a financial credit creation system architecture deployment method, which comprises the following steps: S1, investigating the current situation, and determining the existing system architecture, business process and technology stack of a financial institution; s2, planning and designing, wherein model selection and configuration are carried out around a host platform, a cloud platform, middleware, a database and related key components; s3, development testing, including demand analysis, design, coding and self-testing, a testing stage including unit testing, integration testing, system testing, acceptance testing and regression testing; s4, platform construction; s5, migration implementation; and S6, operation and maintenance operation. Through the systematic deployment method, the problems of high security risk, high maintenance cost, poor autonomous controllability and the like of the existing financial credit and credential system are effectively solved, and efficient, safe, autonomous and controllable technical support is provided for digital transformation of financial institutions.

The invention provides a regression test method and device, a storage medium, electronic equipment and a product. The regression test method comprises the following steps: acquiring credit investigation service data generated by a credit investigation system in a process of executing an actual credit investigation service, the credit investigation service data comprises input request parameters input by the data demander to the credit investigation system, original data returned by the data provider to the credit investigation system, actual output request parameters sent by the credit investigation system to the data provider and actual credit investigation data returned by the credit investigation system to the data demander; after business change is executed on the credit investigation system, inputting the input request parameter into the credit investigation system to obtain an analog output request parameter, and inputting the original data into the credit investigation system to obtain analog credit investigation data; and according to the deviation between the actual output request parameter and the analog output request parameter and the deviation between the actual credit investigation data and the analog credit investigation data, determining whether the credit investigation system successfully completes the business change.

The invention provides an automatic test method and device and electronic equipment, and relates to the technical field of automatic test.The method comprises the steps that in response to starting of a test command, at least one YAML use case matched with a tested item is searched; converting the YAML file of the at least one YAML use case into an executable use case script; starting a use case execution stage, and executing the use case script according to the test logic in the use case execution stage; and in response to completion of execution of the case script, generating a test report of the tested item. According to the automatic testing method and device and the electronic equipment, the threshold of automatic script writing is greatly reduced, powerful support can be provided for testers, rapid regression testing of various tested item types can be achieved, meanwhile, the testers can more efficiently cope with a rapid iteration application environment, and the testing efficiency is improved. And the software quality is ensured to be continuously and effectively guaranteed.

The invention discloses a method and device for recommending a test case, and the method comprises the steps: obtaining a change function for code change in response to the monitored code change of a tested system; determining a to-be-recommended regression test case for testing code change according to the multi-dimensional information, the multi-dimensional information comprises a dependency relationship and a mapping relationship of a change function obtained in advance, function semantic information of the change function, function semantic information of a dependency function, a historical execution record of the regression test case, and any multiple items in importance attributes of the regression test case; the dependency function refers to a function having a dependency relationship with the change function, and the mapping relationship comprises a regression test case and a function which can be tested by the regression test case; and performing regression testing on the tested system according to the to-be-recommended regression test case.

The invention provides an RPA script minimum increment repairing method based on evolutionary swarm intelligence and reinforcement learning, and relates to the technical field of RPA process automation, and the method comprises the steps: obtaining an event, and generating a rule JSON set; analyzing and mapping condition keys of the rule JSON set, and extracting a decision chain; performing rule coverage vector locking encoding on the decision chain, setting a mutation probability according to a structure influence factor to generate candidate individuals, crossing the individuals with similar structures, and sequentially completing grammar, variable and interface permission verification to obtain an initial patch candidate group with complete coverage; converting the initial patch script into a chain graph, inputting the chain graph into a local-global double-flow enhanced network for script optimization, outputting optimized patch candidates with composite scores, sorting according to the composite scores and the number of node changes, selecting a dominant pedigree to execute controlled micro mutation and block crossing, and obtaining a final patch script meeting a convergence condition; and carrying out full regression test on the final patch script, and after the test is passed, carrying out deployment and archiving a running log.

The invention discloses a chip parameter verification method and device, equipment and a storage medium. The chip parameter verification method comprises the steps of sampling a to-be-tested parameter space of a chip to obtain a parameter point file; performing a regression test on the parameter point file to obtain verification test results, and associating each verification test result with the corresponding parameter point to obtain a data pair set; performing parameter point iteration prediction on the set through a model according to the data; and when it is determined that the predicted parameter points meet the optimization target, taking the predicted parameter points as to-be-applied target parameter points of the chip. The parameter point file is obtained by sampling from the to-be-tested parameter space, and the sampling result is used for the regression verification test, so that the number of tasks needing to be executed is reduced, the overall verification investment is reduced, fitting and prediction are carried out through the model according to the verification test result, the coupling effect and hidden defects among parameters are conveniently found, and the verification efficiency is improved. And the accuracy of the determined target parameter is improved.

The application relates to the technical field of regression testing, and discloses an automatic regression testing method and device, computer equipment and a storage medium, wherein a test page in a to-be-tested case is called, a page object corresponding to a page element address in the test page is obtained according to the page element address, a configuration parameter of the page object is obtained, a test mode is determined according to the configuration parameter, the test mode is parsed, an executable script of an operation means is obtained, and feedback data of the operation is determined as a target test report of the to-be-tested case. The application is based on a visual regression testing platform that is established in advance based on a Puppeteer framework to perform automatic testing, the to-be-tested case is subjected to automatic testing through an operation mode and a page element address, and a tester can complete the testing work without needing to master a lot of front-end script writing knowledge, so that the application is easy to operate, the workload and testing cost of the tester are reduced, and the testing efficiency is improved.

The invention provides an automatic external connection regression testing method and device, equipment and a storage medium, and belongs to the field of computer software tests.The method comprises the steps that historical external data are extracted from an external connection database in batches based on an external connection regression testing request input by a client interaction page; converting the historical external data into basic test data according to a preset rule based on test demand information input by the client interaction page; updating the basic test data into test sample data matched with the current interface of the external connection component; calling a logic code of the external connection component based on the JSP, analyzing the test sample data and forwarding the test sample data to the service component; and comparing a business result generated by the service component with an expected result, and generating a test report. Through the method provided by the invention, the limitation of a traditional scheme can be overcome, and the efficiency and quality of external connection regression testing are improved in an automatic testing mode.

The invention relates to the technical field of chips, in particular to a code coverage rate processing method, electronic equipment and a medium, and the method comprises the steps: S1, designing a test case in a running regression test based on a to-be-tested chip, and obtaining text information corresponding to each code coverage object; s2, analyzing the attribute information, obtaining chip level information and code coverage rate types corresponding to each code coverage object, analyzing the operation information, and obtaining a regression test sequence number, regression test time and an operation result corresponding to each code coverage object; s3, generating metadata corresponding to each code coverage object, and storing the metadata in a preset script file; s4, analyzing metadata in a preset script file to generate a first database, a second database and a third database; and S5, displaying the form of the code coverage rate. The processing efficiency of the code coverage rate is improved, and resource consumption in the processing process of the code coverage rate is reduced.

The invention belongs to the technical field of RPA testing, and particularly relates to a method and system for automatic regression testing of an RPA component. The method comprises the following steps: S1, performing parameterized transmission on common configuration according to different execution environments, different client versions and different executors during RPA component regression; s2, building a general component test framework, filling the general component test framework with the to-be-tested component according to the function scene, and setting a judgment standard for judging whether component function judgment is passed or not and judging whether component return value type judgment is correct or not; s3, collecting test data, and uniformly summarizing the test data into a global variable; s4, storing the collected test data into a database, and performing data analysis; and S5, judging whether to send a message notification or not according to the initial configuration after the test data is stored in the database. The method has the characteristic that the automatic regression test of the component can be completed through the self-packaged test framework of the RPA tool without depending on a third-party tool.

Methods, system, and non-transitory processor-readable storage medium for a test selection system are provided herein. An example method includes selecting, by a test selection system, a regression test case from a plurality of regression test cases in a software testing lifecycle system. The test selection system determines a product release weight associated with the regression test case, where the product release weight incorporates new features associated with a product release. The test selection system obtains a regression test case value for the regression test case by applying the product release weight. The test selection system selects the regression test case for use in regression testing for the product release, based on the regression test case value and executes the regression test case on a system.

A method for improving chatbot accuracy includes receiving an input test file containing chatbot interaction data, the data including utterances, intended intents, and intended responses. For each interaction, a predicted intent and response can be generated using an AI chatbot trained on prior interaction data. The method determines the similarity between the predicted and intended responses / intents by calculating the Levenshtein distance and comparing it to a predetermined threshold. Keywords from failed interactions are extracted through natural language processing to identify failure themes. Machine learning decision tree classification can analyze patterns in failed interactions to generate solution recommendations. The method can generate an interactive dashboard displaying historical performance trends, accuracy metrics for specific domains, visualizations of high-frequency keywords, and confidence distributions for failed interactions. This automated regression testing method can effectively identify and resolve chatbot performance issues while maintaining response quality.

The invention provides a test method and device, electronic equipment and a storage medium. Relates to the technical field of data processing. The method comprises the following steps: receiving a test request sent by a client, wherein the test request is used for requesting to test a data synchronization function; according to the test request, determining at least one to-be-detected index of a data synchronization function, a source database, a target database and a data synchronization mode; for each to-be-detected index in the at least one to-be-detected index, testing the data synchronization function at least once according to the to-be-detected index, the source database, the target database and the data synchronization mode to obtain a test result corresponding to the to-be-detected index; and determining a test result of the data synchronization function according to the test result corresponding to the at least one to-be-detected index. According to the test method provided by the invention, the efficiency of carrying out regression test on the data synchronization function is improved.

The system obtains an issue associated with a network and resolves the issue by suggesting a solution and receiving an approval from an AR / VR device. Based on the issue, the system creates a ticket describing the issue and obtains diagnostic information associated with the issue. Based on the diagnostic information, the system determines a fix for the issue and sends a first notification to the AR / VR device. The first notification includes a description of the issue, the fix for the issue, and a request to test the fix. Upon receiving an approval to test the fix, the system performs regression testing using the fix and determines whether the fix passed the regression testing. Upon determining that the fix passed the regression testing, the system sends a second notification to the AR / VR device requesting an approval to deploy the fix, and upon receiving the approval, the system deploys the fix.