17 results about "Interface analysis" patented technology

The embodiment of the invention provides an interface element positioning method and device based on deep learning, equipment and a medium, and relates to the technical field of computer vision. The method comprises the following steps: inputting an obtained to-be-detected interface image into a preset segmentation model, and analyzing to obtain types and positioning information of elements in the to-be-detected interface image; wherein the preset semantic segmentation model is a model which is obtained by training a first UNet convolutional neural network model and a second UNet convolutional neural network model and is used for performing feature extraction on the interface image to determine categories and position, the first UNet convolutional neural network model is used for performing global feature extraction on the interface image, and the second UNet convolutional neural network model is used for performing global feature extraction on the interface image. The second UNet convolutional neural network model is used for performing local feature extraction on the interface image. By means of the method, more accurate element positioning can be achieved in modern automatic testing of high-interaction and high-custom user interfaces, and the automation degree and reliability of interface analysis are improved.

The invention discloses a unit test code generation method, system and device and a medium, which are applied to the technical field of code generation, and comprise the following steps: performing program structure interface analysis and abstract syntax tree analysis on a target engineering code to obtain a structured meta-information set and a source code syntax structure model; generating a structured context feature vector based on the structured meta-information set and the source code grammar structure model, and retrieving a historical test case sample set from a historical test case database, wherein the global line coverage rate weighted similarity of the historical test case sample set and the structured context feature vector meets a matching condition; after Prompt template filling of different test subtasks is performed based on a historical test case sample set and structured context data through an Agent agent, different modular test codes are generated by adopting different test code generation models, and closed-loop verification is performed after the different modular test codes are integrated into unit test codes. Therefore, the code quality, practicability and adaptability are improved.

The invention discloses an automatic testing system and method for a modular interface, and relates to the technical field of interface testing, and the system comprises an interface analysis module which is used for loading a to-be-analyzed interface document and extracting interface basic information from the to-be-analyzed interface document; the test case generation module is used for generating test cases of normal and abnormal scenes based on the interface basic information and a preset case template; the interface information comparison module is used for automatically detecting updating of an interface document, positioning changed content and synchronously updating a test case before the test is executed; the test execution module is used for executing an interface test by calling a test tool or a built-in Selenium interface automation framework; the test data analysis module is used for collecting test data generated in a test process in real time, and calling AI model analysis to quickly position an interface error reason; and the test document output module is used for summarizing the test data and the AI analysis result and generating a test report in multiple dimensions. According to the invention, the test and maintenance work of various interfaces can be rapidly and accurately completed.

The invention discloses an application proxy method and device, equipment, a storage medium and a program product, and relates to the technical field of machine learning. The method comprises the steps of obtaining sample instruction interaction data; training a candidate machine learning model based on the sample instruction interaction data, and after analyzing the sample instruction content, calling an interface analysis model to cooperate with the capability of automatically realizing a sample function to obtain a first instruction agent model; based on the function type corresponding to the sample application program, training the ability of the first instruction agent model to analyze the sample instruction content corresponding to the function type to obtain a second instruction agent model; application data of the sample application program is loaded into a second instruction agent model, an instruction agent model is obtained, the application data comprises sample interface information obtained by analyzing an interface of the sample application program through the interface analysis model, and the instruction agent model is used for being matched with the interface analysis model to automatically achieve the instruction content indication function. The application proxy efficiency can be improved.

The invention discloses an application proxy method and device, equipment, a storage medium and a program product, and relates to the field of machine learning. The method comprises the steps that first instruction content is obtained, wherein the first instruction content is used for indicating that a first function is automatically achieved through computer equipment; the first instruction content is analyzed through an instruction agent model, instruction information is obtained, the instruction information is used for indicating the computer equipment to achieve the interaction requirement of the first function, and the instruction information comprises a first application program used for achieving the first function; an interface of the first application program is analyzed based on the instruction information through an interface analysis model, interface information is obtained, and the interface information is used for indicating a first interface element used for achieving the first function in the interface of the first application program; the interaction operation is automatically triggered for the first interface element based on the interface information, the first function is achieved, the independent instruction agent model and the interface analysis model are responsible for instruction semantic understanding and interface element analysis respectively, and the application agent accuracy and efficiency can be improved.

The application discloses an intelligent man-machine interaction method based on voice recognition and interface analysis, comprising the following steps: analyzing a current application program graphical user interface through an operating system interface or a background service, recognizing target controls in the interface and coordinate positions of the controls on a screen; establishing a mapping relationship based on spatial layout relationships and hierarchical structures of the controls; receiving a user voice instruction, performing voice recognition and semantic analysis to recognize a target identifier and operation content; and simulating input device action to operate the target controls according to an analysis result. The application can understand interface semantics, accurately map voice instructions to specific interface elements, realize deep cooperation between voice and interface control, and provide a more convenient computer operation mode for people with physical disabilities, thus having positive social and economic benefits.

According to the code read-write separation analysis method and device, the storage medium and the computer equipment provided by the invention, when code read-write separation analysis is carried out, the business code is triggered to be packaged and compiled, and the interface analysis is carried out on the business code, so that middleware configuration check is carried out on the basis of a plurality of interfaces using read-write separation annotations obtained by analysis; a configuration analysis report is generated, so that problems existing in middleware configuration can be quickly positioned, and a basis is provided for subsequent rectification; the configuration analysis report is compared with a middleware configuration result, interface detail data to be rectified are generated and displayed on a billboard platform, and automation and transparency of problem management and control are improved; and finally, after rectification feedback of the user on the interface detail data is received through the billboard platform, configuration verification is performed on the service code based on the rectification feedback, and a verification result is displayed on the billboard platform, so that a complete rectification closed loop is formed, read-write separation configuration of all the interfaces is ensured to be correct, and production faults caused by configuration problems are avoided.

The invention provides a big language model-based inter-interface dependency analysis method and an interface test construction method. The method comprises the following steps of: collecting service interface information for supporting user service circulation in a user service operation process; wherein the service interface information comprises interface metadata; generating a cue word text based on the service interface information, calling a large language model LLM and taking the cue word text as input, generating an LLM response text by the LLM according to a set dialogue state, and extracting structured semantic information based on the LLM response text; wherein the step of setting the dialogue state comprises single-interface analysis, double-interface comparison and association reasoning; the method comprises the steps of identifying a field-level dependency relationship between interfaces on the basis of structured semantic information, constructing an interface dependency relationship on the basis of the field-level dependency relationship between the interfaces, constructing a multi-layer dependency relationship and an interface calling path set on the basis of the interface dependency relationship and interface metadata, and then carrying out interface testing.

The application discloses a unit test code generation method, system, device and medium, which is applied to the technical field of code generation and includes the following steps: obtaining a structured meta-information set and a source code syntax structure model by performing program structure interface analysis and abstract syntax tree analysis on target engineering code; generating a structured context feature vector based on the structured meta-information set and the source code syntax structure model; searching a historical test case sample set from a historical test case database, wherein the historical test case sample set meets a matching condition in terms of global line coverage weighted similarity with the structured context feature vector; filling a Prompt template of different test sub-tasks based on the historical test case sample set and the structured context data through an Agent intelligent agent; generating different modular test codes by using different test code generation models; and performing closed-loop verification after integrating the different modular test codes into unit test codes, so that the code quality, practicality and adaptability are improved.

The invention provides a time sequence diagram generation method and system, and the method comprises the steps: receiving a log file generated by software operation, and filtering the log file; analyzing the filtered log file, extracting target interface information, and respectively generating a unit name and an interactive arrow of a time sequence diagram based on the target interface information to obtain a puml text; splicing the text content in the filtered log file and a preset interface analysis rule into a cue word, performing semantic analysis on the cue word through a large language model to obtain a function description of an interface, and adding the function description to an interactive arrow attribute of a puml text; and generating a time sequence diagram based on puml text rendering. Through the scheme, the accuracy of the time sequence diagram can be guaranteed, the labor cost is reduced, and the generation efficiency is improved.

The invention discloses an application proxy method and device, equipment, a storage medium and a program product, and relates to the technical field of machine learning. The method comprises the steps that a pre-stored application program library used for training an instruction agent model and an interface analysis model is obtained, and the instruction agent model and the interface analysis model are used for driving computer equipment to automatically achieve a specified function based on instruction content in a matched mode; for the first application program, preset instruction interaction data is adopted to test driving of the instruction agent model on the first application program to obtain a test interaction result, the instruction interaction data comprises preset instruction content and a corresponding reference interaction result, and the first application program or a version of the first application program does not belong to an application program library; and under the condition that the test interaction result is not matched with the reference interaction result, calling the general natural language model to analyze the first instruction content, and driving the first application program to automatically realize a first function indicated by the first instruction content.

The invention discloses an interface adaptive accurate analysis AI intelligent question system and method, and belongs to the technical field of artificial intelligence. The method is a comprehensive solution based on user Token dynamic authentication, a Webhook-driven API metadata adaptive mechanism, a large language model and execution environment cooperative computing. The system automatically synchronizes and semantically enhances interface description by monitoring a change event of the API management platform, and stores the interface description into a vector database; when the user asks questions, semantic retrieval and API selection are carried out in combination with the identity Token of the user, and permission verification is carried out based on the Token; and when the returned data volume is relatively large, the Python sandbox is automatically triggered to execute the statistical code generated by the LLM, so that the accuracy of numerical calculation is ensured. According to the invention, the integrated intelligent number asking capability with controllable authority, accurate result and self-adaptive interface is realized, and the safety, reliability, maintainability and the like of an enterprise-level information system can be remarkably improved.

The application provides a multi-agent cooperative interface automatic test method, device and medium, and belongs to the technical field of software test automation. The method comprises the following steps: receiving interface information of a user interface to be tested uploaded by a user; calling an image analysis agent to analyze and identify the interface information to generate an interface analysis result; based on the interface analysis result, calling a test case generation agent to automatically generate a test case; based on the test case and a selection instruction, calling a test script generation agent to generate a test script in a selected script format; calling a script execution agent to run the test script to simulate user operation, execute the test on the user interface to be tested, and record the execution process; and generating a test report according to the execution result of the test script. The application realizes automatic and efficient execution of UI automatic test.

This invention relates to the field of computer technology and discloses an interface parsing method, apparatus, device, and medium applied to an interface parser. The method includes: receiving interface request data sent by an external system through an interface layer and transmitting the interface request data to a parser layer; identifying the communication protocol type through the parser layer and matching the corresponding protocol adaptation rules according to the identified communication protocol type to generate target interface parsing rules; performing standardization processing on the interface request data according to the target interface parsing rules through the parser layer to obtain standardized request data which is then written to a business data layer; obtaining the standardized request data through a business service layer and executing business processing logic to obtain a business processing result which is returned to the parser layer; encapsulating the business processing result through the parser layer and outputting the encapsulated target response data to the external system through the interface layer. This application can improve the system's adaptability to multi-protocol environments and its overall operational stability.

The application discloses an interface analysis method and a terminal display method. The interface analysis method comprises the following steps: acquiring a response loss value during target interface testing; and determining a fault degree of the target interface based on the response loss value and a response loss threshold.

The invention discloses an automatic interface modeling method, device and equipment. The method comprises the following steps: acquiring a scene description graph constructed based on business demand analysis; identifying elements representing interface information in the scene description graph to obtain interface element information; creating / updating at least one interface block based on the interface element information, wherein the interface block comprises an entity serving as an interface sender and an entity serving as an interface receiver; for the entity in the interface block, creating / updating a proxy port applying the interface block; and determining a stream and a direction thereof in the interface block based on the interface element information, and creating / updating internal feature elements of the interface block by using the stream and the direction thereof. Therefore, the problems of data consistency defect, automatic modeling mechanism limitation and interface analysis normal form support limitation of an existing interface automatic modeling method are solved.

The invention provides a dynamic analysis function interface method and system based on a VxWorks operating system, and the method comprises the steps: S1, reading a function command configuration file, and storing the function command configuration file after analysis; s2, writing the stored function interface information into a memory file system; s3, executing the function interface information obtained through analysis as a whole to obtain key information output, and redirecting standard output into a memory to capture key output information in the function execution process; and S4, executing the temporary file as a shell script of VxWorks, judging whether execution succeeds or not by comparing log information with preset success information, and if the execution succeeds, uploading a result to upper computer tool software. According to the invention, the parameter analysis logic is simplified, and the flexibility and expandability of the system are enhanced.