243 results about "Integration testing" patented technology

The invention discloses an automatic code generation and optimization system based on multiple modes, which relates to the technical field of automatic programming, and comprises a task analysis module for analyzing task description and constraint conditions in combination with a CLIPS rule engine and a knowledge graph and original data, identifying task targets and requirements, and outputting a task risk assessment report and a task intention set; the optimization decision module is used for selecting an optimal modal data subset by using a particle swarm optimization algorithm and a path planning algorithm, performing optimization adjustment according to task requirements, and outputting a code generation strategy; and the test evaluation module is used for evaluating and improving the unit test and the integration test by utilizing the variation test, carrying out quality and performance evaluation on the code through continuous integration and continuous delivery, and outputting a code evaluation report and an optimization suggestion. According to the method, the optimal modal data subset is dynamically screened, and the data transmission path is optimized, so that the code performance is ensured, the computing resource consumption is reduced, and the global optimization of the code generation strategy is realized.

The invention provides an integrated test scene prediction method and system based on multi-dimensional data, and the method comprises the steps: carrying out the multi-source data collection of an integrated test scene based on a dynamic sampling strategy, obtaining integrated test multi-dimensional data, carrying out the multi-dimensional data preprocessing of the integrated test multi-dimensional data, and obtaining a pre-trained multi-dimensional data analysis model; inputting the pre-processed integrated test multi-dimensional data into the multi-dimensional data analysis model to carry out sub-module data analysis, obtaining a pre-trained intelligent regulation and control model, importing a system diagnosis report and a key index deviation degree report into the intelligent regulation and control model as inputs, generating an intelligent regulation and control decision, and carrying out intelligent regulation and control. By means of the method, system faults, performance bottlenecks and potential problems occurring in the integrated test scene can be accurately predicted, intelligent regulation and control decisions are provided for solving the problems, and accurate system performance evaluation and optimization services can be provided for users.

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.

Methods, systems, and apparatus, including medium-encoded computer program products for executing a test strategy, include: receiving a request to generate a test script for a new test strategy defined for a software solution, wherein the received request includes a specification of the new test strategy; generating the test script based on executing a large language model that receives as input the specification of the new test strategy, wherein the large language model is trained to automatically generate test scripts based on technical documentation for a testing framework defined for the software solution and integration tests generated for the software solution; and executing the test script for the new test strategy to obtain output data, the output data including performance data for the software solution.

The invention discloses an ATS interface autonomous regulation and control method, and belongs to the technical field of urban rail transit information processing. Monitoring elements in an ATS interface are classified by constructing an ATS interface composition system, and then the monitoring elements are grouped and numbered according to the relative relation between the monitoring elements; the method comprises the following steps: monitoring a monitoring element in an ATS interface, monitoring the display characteristics of the monitoring element in real time, judging the state of the monitoring element according to the display characteristics of the monitoring element, and if a fault occurs, matching a corresponding solution from a monitoring database according to the fault type and the fault level. Therefore, the whole software does not need to be subjected to integrated testing, the labor cost is reduced, meanwhile, automatic monitoring on the train cannot be interrupted during regulation and control, and the operation efficiency of the ATS is guaranteed.

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.

An online system performs inference requests in conjunction with the model serving system to perform AI (text-based LLM or multi-modal transformer)-generated integration test variants. Instead of rigid code-specified integration tests, the LLM creates integration test variants that follow a specification. Given one or more files from the codebase of an application and a specification for integration testing, the LLM compiles an integration test including a series of actions (e.g., API calls) as runnable code and assertions about the state of the application after the actions are executed.

The invention relates to the technical field of information, and discloses an intelligent adaptive education training system based on big data, and the system comprises a data collection and integration module which is used for collecting learning behavior data and physiological data of learners from a plurality of education platforms and physiological data sources; the dynamic student portrait generation module is used for automatically generating and updating a dynamic student portrait according to the learning behavior data and the physiological data collected by the data acquisition and integration module; the personalized feedback and learning path optimization module is used for generating personalized learning feedback according to the dynamic student portrait and automatically adjusting a learning path by utilizing a multi-objective optimization algorithm; the system implementation and optimization module is used for detecting operation of the data acquisition and integration module, the dynamic student portrait generation module and the personalized feedback and learning path optimization module for integration, testing and optimization; and the data acquisition and integration module comprises a multi-source data integration unit.

The invention relates to the technical field of coal mine test equipment, in particular to a one-stop automatic test integration platform and a test method for coal mine application software. The one-stop automatic test integration platform comprises an executable test case construction module, an automatic test execution module and a test result management module. According to the automatic test platform and the test method, the functions of test management, system safety penetration, software automatic test, source code static analysis, system performance test, localization adaptation test and the like are integrated; the problem that in the prior art, it is difficult to comprehensively cover all function combinations and abnormal conditions by manually compiling test cases is solved, and the test omission ratio is remarkably reduced; centralized management and correlation analysis of data in each link in the testing process are realized through the data centralized management module, so that the testing efficiency is improved, and the problem positioning is more accurate and rapid; a standardized testing process is integrally formed, and software quality and compliance are guaranteed through all-around testing means.

The invention discloses an embedded system integration test case multiplexing method and system, and the method is characterized in that the multiplexing of a test case is carried out based on the existing software assets: firstly, based on the existing software requirements and the test case, an existing requirement-test case tracking chain is constructed; performing demand change analysis on the new demand activity graph information; performing change influence range analysis based on a change analysis result in combination with a demand-test case tracking chain, and determining a test case reuse and generation scheme; and finally, executing the test case multiplexing and generating scheme. According to the method, the tracking relation between existing requirements and test case assets is established, meanwhile, the execution cost of downstream test tasks caused by requirement change is reduced through multiplexing, and the test efficiency of integration testing is improved.

The invention relates to the technical field of blast pump detection, in particular to an air suspension blast pump convenient and rapid detection box device which comprises a test box body, a bottom plate, an eccentric wheel set, a switching mechanism, a transmission mechanism and a blast pump mounting mechanism, a box cover is rotatably hinged to the outer side of the test box body, and an operation plate is fixedly connected in the test box body; hydraulic rods are fixedly connected to the inner wall of the box cover. By integrating the test box body, the switchable eccentric wheel group and the sound insulation cover mechanism, multi-working-condition dynamic simulation and noise isolation are realized in single equipment, the problems of low detection efficiency, high cost and data deviation in the prior art are effectively solved, two groups of detection stations are arranged, a control group is conveniently provided, and the detection efficiency is improved. According to the air pump data detection device, the detected air pump data are more accurate and reliable, the detection devices are modularly combined in the test box body, the detection steps are more convenient, the detection efficiency is improved, and the use requirements of people are met.

The invention discloses an ATS controller integration test platform, and relates to the technical field of thermal management of automobiles and electronic equipment, and the ATS controller integration test platform comprises a test platform case which comprises an upper computer, a test platform MCU and a communication system. The ATS controller integrated test platform provided by the embodiment of the invention can simulate a complex working condition, realizes comprehensive test of the ATS controller, greatly improves the test range, can evaluate the performance of the ATS controller more comprehensively compared with the test of a single function in the prior art, and improves the test efficiency by simulating a real working environment. The communication between the whole vehicle and the ATS controller is accurately simulated by utilizing RS485 communication and a CAN bus protocol, meanwhile, the working condition can be truly restored through the temperature sensor, the pressure sensor and the flow sensor, the performance of the ATS controller can be accurately evaluated, the reliability of a test result is ensured, and through the arranged upper computer, the reliability of the ATS controller is ensured. The possibility of errors caused by human intervention is reduced, and the testing efficiency is improved.

The invention discloses a redundant array of independent disks (RAID) card, a test method, device and system thereof and a host, and relates to the technical field of storage, the method is applied to an RAID card, and the method comprises the following steps: acquiring an integrated test command of a target firmware system sent by a test host; determining a target test case in a target subsystem in the test framework according to the integrated test command; executing the target test case by using the test framework to obtain an integration test result of the integration test command, and sending the integration test result to the test host; according to the invention, through the arrangement of the test framework in the RAID card, redundant codes during writing of the test case can be reduced, and the workload and resource waste of testers are reduced; according to the method, the test frame uniformly performs distribution execution of the test cases and judgment and statistics of the test results, so that the number of times of interaction with the test host can be reduced, the test efficiency is improved, and an automatic integrated test for docking the RAID card with the test host is conveniently realized.

The invention discloses a heterogeneous integration test method based on AI, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting heterogeneous integration operation data, and carrying out data cleaning, anomaly detection, feature extraction and standardized output of a standardized data set; generating a plurality of neural network frameworks by using random initialization and Bayesian optimization, and outputting an optimal neural network structure in combination with fitness evaluation; optimizing the neural structure network and outputting an AI test model by combining crossover variation, pruning optimization and a genetic algorithm; function testing, pressure testing and safety testing are carried out in a real environment, key performance indexes are calculated, and optimization suggestions are output in combination with test feedback data; and outputting an intelligent test model by using a model-independent meta learning and transfer learning method. Through combination of crossover variation, pruning optimization and a genetic algorithm, each network structure can meet different targets, and meanwhile, the test efficiency can be improved.

The invention relates to computer-implemented systems and methods for implementing an application modernization and migration tool. The invention provides: initiating a discovery of current system specifics, wherein the discovery comprises business analysis and technical analysis; based on the discovery, developing a modernization plan that prioritizes and optimizes application and system migration, wherein the modernization plan considers risk analysis and cost estimation; designing a pathway and an architecture for the modernization plan; executing the pathway and implementing the architecture to initiate a modernize and migrate process for a target system wherein the modernize and migrate process comprises one or more of: infrastructure build, data migration, rebuild, rehost, re-platform, refactor and integrations, testing and delivery; and making available operation of the modernized and migrated target system.

Methods, system, and non-transitory processor-readable storage medium for a source code file association system are provided herein. An example method includes receiving, by a project management tool associated with a software test lifecycle system, a pull request to merge software code changes with a software project repository on an enterprise system. The software testing life cycle system executes a plurality of integration test suites associated with the pull request on at least one test system associated with the enterprise system. The integration test suites are executed to test the software code changes. The project management tool captures the integration test suite output. A source code file association system preprocesses the integration test suite output for input into a machine learning system. The integration test suite output is encoded. The output of the machine learning system identifies at least a portion of source code exercised by the integration test suites.

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 discloses a dynamic self-verification method based on service flow-test flow homologous heterogeneous execution. The method comprises the following steps: uniformly describing service logic and a corresponding interface test contract through a strong type of domain specific language (DSL); the method comprises the following steps: simultaneously compiling homologous DSL descriptions into stateful business workflows executed by a process engine and stateless and combinable atomic test contract sets called by a test executor by utilizing a double-path compiling engine; during operation, loose coupling synchronous triggering and execution of a service flow and a test flow are realized based on a high-throughput event bus, and real-time and high-fidelity contract verification, performance monitoring and chaos probe testing are performed on cross-system interface calling in a production environment. According to the invention, the traditional post-event and off-line integration test is converted into the in-event, on-line and continuous system endogenous capability, and the industrial problems that the complex enterprise system group integration test is difficult and the operation and maintenance monitoring is passive are effectively solved.

In association with unit and integration testing of a software application, a test conflict guard can detect whether test cases are independent and use distinct database data, or are related or dependent test cases that use the same database data. The test conflict guard can detect any related or dependent test cases in a group of test cases, which may cause testing errors if executed in different parallel threads. The test conflict guard can accordingly block test execution until the group of test cases are verified as independent test cases.

The invention relates to the technical field of submersible pump testing, and discloses a permanent magnet variable frequency submersible pump testing method and system. The method comprises the following steps: acquiring an original response signal cluster of the submersible pump in multi-stage variable-speed operation by constructing an integrated test environment; decoupling and enhancing the signal cluster based on time sequence dependence, and separating out an independent hydraulic performance characteristic signal group and an independent electromagnetic vibration characteristic signal group; and inputting the characteristic signal group into a dynamic working condition simulator, and restoring an internal flow field pressure cloud picture and a rotor stress distribution picture of the submersible pump under the simulated working condition through an iterative approximation algorithm. The two are fused to deduce a potential failure mode and its evolution trajectory, and an enhanced test procedure is generated accordingly. According to the method, accurate separation of multi-physics field test signals and visualization of internal states are realized, and the accuracy of fault attribution and the advance of failure prediction are improved.

The invention relates to the technical field of computers, and provides a code integration verification method and device, electronic equipment and a storage medium, and the method comprises the steps: creating homonymous branches in a plurality of preset code warehouses under the condition of receiving a branch creation instruction; obtaining the current version identification of each homonymous branch in the plurality of code repositories, and generating version snapshot information according to the current version identification; based on the version snapshot information, synchronously obtaining code versions corresponding to respective homonymous branches from a plurality of code warehouses, and generating an integrated code set according to the code versions; and executing joint compiling and integration testing on the integration code set to generate an integration verification result. According to the method, a series of operations such as homonymy branch creation, version snapshot generation, code synchronization and joint compilation test execution are integrated into a coherent automatic process, so that the integration verification efficiency in a multi-warehouse scene is remarkably improved, manual intervention is reduced, and the reliability and consistency of verification results are guaranteed.

“Prevention is better than cure” aptly applies to the field of cybersecurity. However, state-of-the-art integration systems generally perform late-stage scanning that is reactive, rather than proactive. This can be particularly dangerous in a low-code environment, in which the integration processes may be constructed by novice users without expertise in mitigating cybersecurity threats. Accordingly, embodiments utilize artificial intelligence to proactively detect and resolve cybersecurity threats during the design stage of integration processes. For example, a generative model may be used with crowd-sourced integration configurations to generate synthetic integration data that are targeted towards specific cybersecurity threat endpoints. This synthetic integration data may be input to an integration process, during integration testing within a test environment, to detect and resolve cybersecurity threats, prior to deployment of the integration process to a production environment.

This application provides an automated testing method and integrated testing system for spaceborne SAR, comprising: a test host reading a test configuration file corresponding to the spaceborne SAR under test, generating a test command package based on the test configuration file and sending it to the spaceborne SAR under test; the spaceborne SAR under test powering on according to the test command package, generating a microwave signal corresponding to the test command package and transmitting it to the echo reflection simulation module, receiving the echo signal fed back from the echo reflection simulation module and feeding it back to the test host; and the test host analyzing the echo signal and generating a target test report. By pre-uploading the test configuration file corresponding to the spaceborne SAR to the test host, fully automated testing of different types of spaceborne SARs is achieved, improving testing efficiency, reducing testing costs, and improving the accuracy and reliability of test results.

The invention provides a dual-redundancy R-EPS steering system electronic power unit performance detection device, and relates to the technical field of steering system testing. The control unit is in communication connection with the upper computer; the actuating mechanism comprises a programmable load motor, the control end of the actuating mechanism is connected with the control unit, and the output end of the actuating mechanism is connected with a motor output shaft of the tested electronic power unit; the sensing feedback module comprises a plurality of sensors used for collecting operation parameters of the tested electronic power unit, and each sensor is connected with the control unit; the fault simulation module is integrated in the control unit, and the output end of the fault simulation module is used for connecting a fault injection node of the tested electronic power unit; wherein the programmable load motor, the sensing feedback module and the fault simulation module form an integrated test system for performing dynamic load test and active fault injection test on the tested electronic power unit under the coordination of the control unit. High integration and automation of the detection process can be realized, and the test efficiency and consistency are improved.

The invention relates to the technical field of enterprise service collection, in particular to an enterprise internal application full-life-cycle management system based on a micro-service architecture, and the system comprises an application development test module which is used for carrying out the unit test and integration test of a test case through a containerized test environment; the application on-shelf auditing module is used for extracting metadata information in the application deployment package through a standardized configuration analyzer and outputting a compliance application package after passing an approval process; the application operation monitoring module is used for collecting an operation state data set of the compliance application package in real time through a resource probe; the application safety off-shelf module is used for executing off-shelf operation on the compliance application package with the risk assessment result meeting the preset off-shelf condition; and the full life cycle tracking module is used for performing tracking analysis on each module and outputting a visual topological relation graph. According to the method and the system, the whole process from development to off-shelf of the application can be managed and controlled, and the application quality, safety and management efficiency are remarkably improved.

The invention provides an integration test method and device, equipment, a medium and a product, and relates to the technical field of automatic testing, and the specific technical scheme is as follows: obtaining an action library corresponding to a test object of an integration test service, and screening a target action from test actions in the interface test dimension, the file test dimension, the database test dimension and the script test dimension of the action library, and generating a test case based on the target action. And performing collection processing according to the test case and a preset case to obtain a test task, and running the integrated test task based on the execution dependency relationship to obtain an integrated test result of the test object. According to the method, on one hand, the action library comprises the test actions under multiple test dimensions, and the test applicability is wider; and on the other hand, based on the execution dependency relationship, the integration test task is automatically operated, the integration test result of the test object is obtained, manual intervention on triggering and sequence control between cases is not needed, automatic test is achieved, and the test efficiency is improved.

A test case generation method. The method comprises: acquiring a structured rule for a first application programming interface (API) and a natural language description for the first API; querying a domain-specific language (DSL) database on the basis of the natural language description for the first API to obtain a query result, wherein the query result comprises at least one of: a DSL sample where a natural language description part matches the natural language description for the first API, a DSL error correction example, or a DSL syntax; constructing a prompt on the basis of the query result, the natural language description and the structured rule; and inputting the prompt into a language model to generate a target DSL code, wherein the target DSL code is used for testing the first API, or is used for generating a test case for performing integration testing on the first API and a second API. In the method, a DSL sample, an error correction example, and a syntax are dynamically matched from a DSL database to generate a highly controllable and structured context, and a test case is generated by means of language model inference on the basis of the context, thereby integrating unit testing and integration testing, and reducing repeated development.

The application discloses an aeronautical data conversion unit test system, which can complete complete parsing and import of an ICD in an XML source format, configuration and editing of the ICD, and test of an aeronautical data conversion unit; automatically realize ICD management test, that is, based on a complete ICD parsing and import configuration tool chain, automatic management of the ICD can be realized, and automatic test of the aeronautical data conversion unit can be realized; based on the editable configuration of the ICD management, management and editing of a signal interface in a test process can be realized, and various test configurations can be realized; based on a test tool chain composed of a digital simulation environment module and an integrated test environment module, data interaction based on a real-time network can be realized, and commands such as test issuing can be completed.

The invention discloses a software testing method and device, a medium and a product, and relates to the technical field of software test.The software testing method includes the steps that coverage rate data of unit testing, integration testing and system testing of target software are collected through a code coverage rate analysis tool, and the coverage rate data are converted into target text files; the coverage rate data comprises execution times and coverage rates of the codes; storing each target text file in a corresponding target directory, and reading and analyzing the target text file in each target directory to obtain corresponding analyzed data; the analyzed data comprises a total row number, a total branch number, a total function number, a total coverage row number, a total coverage branch number and a total coverage function number; and merging and storing the analyzed data into a preset nested dictionary, traversing the preset nested dictionary to determine the code coverage rate of the target software based on the traversed analyzed data, and determining the software defect of the target software by using the code coverage rate. The quality and stability of software can be improved through testing.

The invention provides a digital-to-analog conversion chip test system and electronic equipment, and relates to the technical field of chips, and the system comprises an upper computer, a chip evaluation mother set, and a plurality of chip evaluation daughter boards. The upper computer is used for determining a test instruction according to a test item, sending the test instruction to a chip evaluation master mask and receiving test feedback data sent by the chip evaluation master mask; and the chip evaluation mother set comprises a plurality of interfaces, is used for accessing a measuring device and the chip evaluation daughter board, and is used for executing test operation on the chip evaluation daughter board according to the test instruction and acquiring test feedback data of the measuring device. By integrating the functions of testing, analyzing, recording and the like on the chip testing system, efficient testing of the chip system is achieved, and the efficiency of the chip testing process is improved.