174 results about "Function point" patented technology

The invention provides an automatic software testing method and system based on artificial intelligence. The method comprises the following steps: analyzing a software demand document by using an NLP technology, converting the software demand document into structured data, extracting a key function point, and identifying a software function point; generating a test case covering all function points through a deep learning model in combination with historical test data training; automatically executing a test operation, analyzing a test result, analyzing a test log by using a machine learning algorithm, identifying and classifying potential defects by using a data mining and pattern recognition technology, and generating a repair suggestion report; and analyzing feedback data in the test process, dynamically adjusting a strategy according to a test result by using a reinforcement learning algorithm, and optimizing a test case and the strategy. According to the invention, intelligent analysis of test data, automatic generation of test cases and automatic execution of a test process are realized; flexible configuration and expansion can be carried out according to the actual condition of software; the test efficiency and quality are improved, and the test cost and manpower consumption are reduced.

The invention provides a test case execution path set generation method and device and electronic equipment. The method comprises the steps that a test case is obtained, a natural language processing technology is adopted to extract function points in the test case, key entities of the test case are recognized, the incidence relation between the function points and the key entities is determined, a function point-attribute mapping table is obtained, attributes are responsible for storing the key entities, and the attributes are responsible for storing the key entities; recording test data and a constraint relation between verification operation and the function points; a multi-cluster directed graph is constructed according to the function point-attribute mapping table, the function points serve as nodes of the multi-cluster directed graph, and the attributes serve as edges between the nodes and the directions of the edges; and performing traversal solving processing on the multi-cluster directed graph by adopting a path solving algorithm, and determining a plurality of execution path sets of the test case. The problem that in the prior art, the complex dependency relationship between test cases is difficult to effectively recognize and manage, and consequently the efficiency of test path planning is low is solved.

The invention discloses a test case execution method, electronic equipment, a storage medium and a program product, and relates to the technical field of software testing, and the method comprises the steps: obtaining test data features in a test case execution process, carrying out the grading of a test case based on the obtained test data features to determine a grade coefficient, according to the method and the device, the priority of the test case is dynamically adjusted according to the test data characteristics of the test case, the test case is executed according to the priority score of each test case, the execution sequence of the test case is dynamically adjusted, the dynamic adaptability of the test case is improved, and the test efficiency is improved. Therefore, the test efficiency can be ensured, and the determination of the priority score also fuses the test module and the test function point, so that the test cases of the important module and the core function point can have higher priority scores, the execution is preferentially performed, and the coverage integrity of the core function and the error-prone module can be ensured.

The invention discloses a hardware design method and device, equipment, a storage medium and a program product, and the method comprises the steps: analyzing a function demand of target hardware according to design description information corresponding to the target hardware through a first intelligent agent, and generating function point information, performing module division processing based on the function correlation of each function point in the function point information to obtain module function information, and generating design description information of each sub-module and connection relation information among the sub-modules based on the module function of each sub-module indicated by the module function information; hardware design codes of the corresponding sub-modules are generated based on the design description information of the sub-modules through the second intelligent agent; through a third agent, according to the design description information and the connection relation information of each sub-module and the hardware design code of each sub-module, a hardware design code of the target hardware is obtained through combination; the accuracy of generating hardware design codes (namely RTL design codes) of large-scale complex hardware can be improved.

The embodiment of the invention provides a test case sample cutting method, device and system and a storage medium, and relates to the technical field of network security testing. The method comprises the following steps: constructing an industrial control system attack tactical library; wherein the tactical library comprises classified and arranged attack techniques and corresponding security attributes; performing information analysis and semantic analysis on the test case sample to generate structured data of the test case sample and / or function points in the test case sample; and cutting the test case sample according to the security attribute and / or the structured data and / or the function point to obtain a test fragment corresponding to the security attribute and / or the function point. According to the method, classification-based attack techniques and security attributes are cut by constructing a tactical library, key information can be accurately extracted and test intentions can be understood through information analysis and semantic analysis, redundant tests are avoided, cut test fragments can concentrate on specific security attributes or function points, the test coverage range is more accurate, and the test efficiency is improved. And the distributed security test effect is improved.

The embodiment of the invention provides a business scene arrangement platform construction method based on a standard component, and the method comprises the steps: combining a user demand in a component demand document with a standard component, and outputting a decoupled function point and corresponding input and output information; taking the decoupled function points as input, performing retrieval in a standard component library, and if the function points are not retrieved, generating component codes based on the decoupled function points; comprehensively testing the standard component based on the component code; if the test is passed, outputting a package component; inputting and outputting parameters into the packaging component, carrying out vectorization processing, outputting a packaged standardized component, and storing the packaged standardized component into a standard component library; on the basis of the business scene data, performing scene construction on the packaged standardized component by writing a specific function module, and outputting the standard component after scene construction; and testing, optimizing and packaging the standard component after the scene is established to obtain an application program corresponding to the business scene.

The invention discloses a method, a medium and equipment for realizing front-end management routing permission and page content permission based on vue.js, belongs to the technical field of software development, and aims to solve the technical problems of how to flexibly configure and manage access permissions of different roles, ensure the accuracy and leakproofness of the permissions and improve the user experience. The technical scheme adopted by the invention is as follows: Vue routing information registration management: managing front-end page routing by using vue-router; the website user customizes role information: customizes the role information through the background management system; page permissions are allocated to the roles; the routing authority and the page authority are stored in a database; the data of the routing authority and the page authority are stored in the database through an API; the website user creates a new user and binds the new user to a corresponding role; and after a new user logs in, querying and returning a corresponding routing list and a page permission function point list according to the role of the user, and carrying out routing filtering and page content permission control at the front end.

The invention relates to a software function point extraction and element identification method and system, equipment and a medium. According to the method, the natural language processing capability of the large language model and the precise classification capability of the text classification model are combined, so that precise extraction and element recognition of function points in the software requirement document can be realized. And by introducing structured text segmentation, an object attribute cleaning strategy, a cue word optimization extraction scheme, a mechanism of secondary supplemental extraction of ILF function points and a correction optimization strategy based on a heuristic rule, the integrity and accuracy of function point extraction and recognition can be remarkably improved, the situation of mistaken extraction or omission is reduced, and the recognition efficiency is improved. And a solid data basis is provided for software scale automatic estimation.

The invention provides a communication protocol consistency test method and system. Key function points are extracted by analyzing a target protocol document; based on the key function points, a predefined first prompt template is applied to generate a test case prompt, a large language model is guided to generate a standardized test case corresponding to each key function point, and the first prompt template comprises k few-sample examples; dynamically retrieving a related code context from a pre-constructed long-term memory library through a retrieval enhancement generation mechanism, generating a code generation prompt by applying a predefined second prompt template based on the standardized test case and the related code context, and generating an executable test code based on the code generation prompt; and performing iterative optimization on the executable test code through the large language model, and generating a new code generation prompt based on a code execution result of the previous iteration and the retrieved related code context in each iteration. The test case can be automatically generated and dynamically adapted, and the test coverage rate, efficiency and flexibility are improved.

The embodiment of the invention discloses an evaluation model training method. According to the method, a standard operation program text is disassembled into function points, then each function point is realized in a code mode and in a mode of calling a large model, the two realization modes are tested by utilizing test data, and applicability indexes of the two realization modes to the function points are determined based on test results. And utilizing the applicability index data to train an evaluation model which can quantitatively judge whether the function point is suitable for being realized by using a code or a large model according to the description of the function point. The evaluation model training device and the data processing method and device provided by the embodiment of the specification also have the above beneficial effects.

The invention introduces a multi-stage similar function point description text retrieval and comparison algorithm which combines the excellent semantic understanding ability of a large language model with the traditional vocabulary comparison technology. By adopting a multi-language synonym transcription technology, a possible synonym expression text library is constructed in advance; and then, the texts are converted into vector forms by utilizing a vector library technology, and indexes are established, so that the retrieval speed and accuracy are improved. And finally, by fusing a large language model and a traditional word meaning comparison algorithm, the similarity between texts can be comprehensively evaluated. According to the method, the core significance of the function point description text can be accurately extracted, and similar function points and different function points can be effectively distinguished, so that more accurate and efficient function point comparison is realized. The application of the system helps to reduce the work of repeated construction in the informatization construction process.

A five-axis numerical control glue dispenser control method based on track adjustment comprises the steps that a UG model generates a G code through a rear processor, and a feature adjustment point of a track is marked in the G code; loading and generating a debugging point list according to the G code, acquiring debugging information of a debugging list, and generating debugging data according to a preset rule; judging whether the debugging point information is modified or not, if the debugging point information is not modified, running the debugged G code, judging whether the debugging point information is modified or not when the G code runs again, and controlling the five-axis numerical control dispenser to run by running the debugged G code. The graphical easy-to-use operation interface is used for completing numerical control program generation, the special glue dispensing track and speed adjusting function, the special glue dispensing amount and switch control function and the like are achieved, and the technical requirements of glue dispensing are met. The overall matching method can effectively solve the technical problems which cannot be solved through a traditional control method.

The invention provides an improvement method and device for user feedback and a computer readable storage medium. In the scheme, an initial knowledge graph is constructed, and nodes of the initial knowledge graph comprise function points, key problems and improvement suggestions; obtaining user feedback information, analyzing the user feedback information by using a large language model, and updating the initial knowledge graph according to an analysis result to obtain an updated knowledge graph; according to relevant information of the updated knowledge graph, characteristic parameters of a large language model are adjusted, an adjusted large language model is obtained, the adjusted large language model is applied to analysis to obtain improvement suggestions corresponding to user feedback information, and the relevant information comprises a first data pair and a second data pair; the first data pair comprises user feedback information and a function point corresponding to the user feedback information, and the second data pair comprises a key problem associated with the function point and an improvement suggestion corresponding to the key problem. According to the scheme, the problem of relatively low efficiency of user feedback analysis in the prior art is solved.

The invention discloses a method and system for reversely generating a design book through codes driven by a large language model, and relates to the field of software engineering. According to the method, code engineering is analyzed through a grammar analysis technology and a big language model, the incidence relation of visible explicit and implicit codes is mined, and a knowledge graph is formed. And function points are mined from a project by applying heuristic search in combination with a vector clustering technology. And relying on the knowledge graph, a summary design book and a detailed design book are reversely generated for code engineering by utilizing a large language model, so that the technical difficulty of maintenance and migration of a software system is reduced in an auxiliary manner.

The invention provides a method for automatically converting a single-instance use case of a database into a high-availability use case, which comprises the following steps of: after an automatic test framework is started, performing grammatical analysis on the use case by using parser; a pre-converter is added to the high-availability converter; and calling an application method of the HaTransform to start to convert the use case. The method has the beneficial effects that the method for dynamically modifying the test case is provided, and the test case of a single instance is automatically changed into a high-availability case. The method can be applied to database test case scripts written based on DSL. The value of the method is reflected in that a large number of cases with the same test function points do not need to be written manually; the method is simple and easy to use, and dynamically converts cases according to one parameter of a command line.

The invention relates to the field of data processing, and provides a software cost method and system based on dynamic configuration and hierarchical analysis. The method comprises the following steps: dynamically loading corresponding configuration parameters and algorithms by evaluating a method identification field; constructing a standardized cost parameter configuration system, including configuring an estimated function point reference value, an estimated function point weight coefficient and a scale adjustment factor; based on the evaluation method, a tree budget configuration table is preset, hierarchical node design is adopted, a budget tree is constructed, and a tree budget configuration and cost declaration / evaluation header is formed; transferring the configuration right of the tree budget configuration and the cost declaration / evaluation header to the back end, so that the back end dynamically loads a preset header template according to the enabled cost standard, and synchronously injects field attribute rules and calculation formula metadata; obtaining an unstructured document uploaded by a user, and analyzing the unstructured document and the header template by adopting a large language model to obtain software cost details; and generating an evaluation report through the expert review software cost details.

The invention provides a method, device and equipment for verifying the function coverage rate of a chip and a medium, and the method comprises the steps: carrying out the data processing and extraction of a to-be-tested chip through a script containing a set parameter, and generating a corresponding function coverage rate file; and integrating the function coverage rate file into a verification environment through the script so as to verify the coverage rate of the chip to be tested. According to the technical scheme, the register signal of the chip to be tested is extracted by adopting the script containing the set parameters, the corresponding function coverage file is generated and integrated into the verification environment, automatic collection and verification of the function coverage can be rapidly and accurately carried out, and compared with a verification mode needing understanding of verification personnel in transmission verification, the verification efficiency is greatly improved. By adopting the script, standardization of function coverage rate verification of the chip can be realized, and real function point verification completeness can be reflected through the register function coverage rate.

The invention provides a method for generating a front-end prototype based on a generative adversarial network. The method comprises the steps of data acquisition and processing, knowledge base construction, natural language demand analysis and structured conversion, GAN model optimization, and front-end prototype generation and dynamic optimization. A data management system supporting multi-dimensional retrieval is constructed by collecting and verifying front-end design historical data, and efficient matching of task input and output pairs is achieved by combining GAN model optimization task similarity detection. The method comprises the following steps: performing semantic analysis on natural language requirements of a user, extracting function points, data fields and logical relationships, converting the function points, the data fields and the logical relationships into structured JSON metadata, automatically mapping the structured JSON metadata to a front-end component template, and generating a dynamic interface. According to the method, the prototype design efficiency and the intelligent level are remarkably improved, the labor cost is reduced, and reliable technical support is provided for rapid development and deployment of complex applications.

The invention discloses an FPGA test case automatic generation system and method based on a large language model. The system comprises a demand input module, a demand structuring module, a large language model case generation module, a case confirmation module, a verification execution module and a closed-loop optimization module. The large language model can automatically analyze the unstructured demand document and extract key information such as function points, input and output, boundary conditions and the like, and manual one-by-one interpretation is not needed. A big language model is guided through Prompt Engineering to dismantle complex requirements into test key points which cannot be subdivided, and it is ensured that all logic branches are covered by tests. The large language model can dynamically generate diversified test cases based on test key points, including a normal process, an abnormal process and an edge scene. And in combination with FPGA design specifications, historical error cases and other plug-in knowledge bases, the large language model can generate test cases closer to actual hardware behaviors.

The invention relates to the technical field of software cost evaluation, and discloses a function point analysis software cost evaluation method, which comprises the following steps: carrying out semantic analysis on a software function demand text to obtain a software function point; and performing similarity measurement on the software function points and the software function question and answer description data, selecting the question and answer description data with the highest similarity as a function point complexity rating basis of the software function points, and performing complexity rating and software cost evaluation on the software function points. Software function words are selected in combination with a neighborhood knowledge graph and semantic similarity analysis, software functions are described, question and answer description data of the software function words are obtained in combination with question and answer description data of the software functions, multiple complexities are extracted from the question and answer description data to conduct complexity rating on software function points, and the complexity rating accuracy is improved. And setting a cost adjustment factor by referring to a software cost evaluation standard, and performing software cost evaluation based on software function point analysis on the complexity rating result by combining the cost adjustment factor.

The invention discloses an automatic unauthorized vulnerability detection system and method, and the system comprises a user behavior collection module, a user behavior graph analysis module, an attack case generation module, and an execution and report module. A user group behavior graph is generated, pruning, subgraph division, function point and common point segmentation and key path discovery are executed, test cases for unauthorized vulnerabilities are more efficiently and accurately generated, a large number of useless test cases are filtered, the cases are automatically executed, and the test efficiency is improved. And a test execution result is judged by utilizing a page similarity calculation method without a common subtree, and a detection result is fed back, so that the efficiency and the accuracy of detecting the unauthorized vulnerability are greatly improved.

The present invention discloses a method for software bidding settlement review, including a function review module, a function point code decomposition module, a compliance module, a security module, an economic review module, and an open source code management module. The method for software bidding settlement review of the present invention compliantly references open source code, utilizes standard development function points, saves the development cycle and development costs, greatly saves social resources, makes the cost formula of code development, and at the same time avoids security and intellectual property infringement disputes brought by open source code.

The embodiment of the invention provides a resource optimization method and system based on function point measurement software scale evaluation, and belongs to the technical field of software measurement. The method comprises the steps of selecting an evaluation mode based on current demand scene information, if the current demand scene information is matched with a historical scene, calling a precipitated function point evaluation baseline and generating a baseline value through consistency verification and increment measurement adjustment, and if the current demand scene information is not matched with the historical scene, entering a function point identification process and generating a function point identification result; determining a function point scale based on the baseline value or the function point identification result and outputting a corresponding workload result; based on the function point scale and the workload result, generating evaluation data for resource allocation in combination with historical scheduling data and a resource allocation relationship; and outputting a resource allocation suggestion based on the evaluation data. According to the scheme, the accuracy of software scale evaluation is improved, and executable resource allocation suggestions are generated.

The invention discloses a project file building method and system, a chip verification system and a storage medium. The project file is used for providing a simulation environment of a to-be-tested chip, and the project file building method comprises the following steps: creating a project directory; storing project files of previous projects according to the project directory to obtain a sample library, wherein the sample library comprises a plurality of intellectual property modules and a plurality of verification intellectual property modules; obtaining an intellectual property module required for constructing the iteration project and a verification intellectual property module for verifying the function point from a sample library according to the function point of the iteration project; and filling the project directory according to the obtained intellectual property module and the verification intellectual property module to obtain a project file of the iterative project. The project file of the iterative project is automatically established based on the project file of the previous project, so that the establishment efficiency of the project file of the iterative project is improved, and the research and development period of the iterative project is further shortened.

The invention discloses a vehicle control method, a server and a computer readable storage medium. The method comprises the steps of obtaining a trigger event and current sensing information; and based on a pre-configured large language model and a pre-constructed function point knowledge base, according to the trigger event and the current perception information, determining a target function point associated with the trigger event, current state information of the target function point and target state information. And determining a vehicle control instruction and an operation suggestion of the vehicle control instruction according to the current state information and the target state information. And issuing a vehicle control instruction and an operation suggestion to the vehicle to complete vehicle control. Therefore, the server actively provides services for the user according to the trigger event and the current perception information. Moreover, through the pre-constructed function point knowledge base, the user intention can be accurately understood according to the trigger event, and the target function point and the vehicle control instruction capable of realizing the user intention can be determined, so that the user experience is enhanced.

The invention discloses a business demand processing method, device and equipment based on RPA and an intelligent agent, and relates to the technical field of computers, and the method comprises the steps: disassembling a target business demand based on business demand data, and obtaining a plurality of demand function points with a first execution sequence, the plurality of demand function points comprise a first function point corresponding to a rule fixed task and a second function point corresponding to a rule change task; determining an RPA component matched with the first function point and an intelligent agent component matched with the second function point; and according to the first execution sequence, calling the RPA component to execute the corresponding rule fixed task, and calling the agent component to execute the corresponding rule change task, thereby obtaining a processing result of the target business demand. According to the method, the RPA and the intelligent agent are combined for business demand processing, so that repeated work with fixed rules can be solved, scenes with changeable rules and needing flexible processing can be coped with, and the execution success rate and the execution efficiency can be improved.

The invention discloses a multi-source document mapping method and system based on the field of software development, and the method comprises the steps: 1) converting project documents of each stage of a target project into a unified format, and obtaining a multi-source document set; according to the structured data structure of each document in the multi-source document set, storing the corresponding document as an XML tree; 2) for each document information node in the XML tree, identifying a function point node to which the document information node belongs; extracting the content of each function point node and splicing the content with the context of the function point node; correlation is formed between each internal node of the function point nodes and other function point nodes except the area where the function point node is located, and candidate function point nodes of the internal nodes are determined according to correlation scores; and 3) establishing a mapping matrix according to a matching result of the function point node corresponding to each document and the function point nodes corresponding to other documents, and obtaining an optimal mapping sequence of each document according to the mapping matrix to form a mapping table.

The invention relates to the technical field of PLC programming language testing in the field of industrial automation control, in particular to an IEC 61131-3-based PLC programming software language function full coverage testing method, which comprises the following steps: establishing a structured test table based on functions of five PLC programming languages; based on the content of the structured test table, a plurality of different function points to be tested are determined, and a test program complete set is determined based on the function points to be tested; the test program complete set is iteratively updated according to a test standard; importing the test program complete set into to-be-tested PLC programming software, and testing grammar analysis, compiling results and runtime behaviors to obtain test data; generating a technical list based on the test data; according to the invention, the test comprehensiveness of the PLC programming language can be improved.

The invention provides a model-based defect detection method and related equipment. According to the invention, the code semantic understanding information and the code dependency association relationship of the code are determined through the code of the first application program, and the function point associated with the demand can be obtained through the business demand information corresponding to the first application program; matching the function points with nodes of a function tree of the first application program based on a first model to obtain a first matching relationship between the function points and the nodes of the function tree, a second matching relation between the function point and the code of the first application program is determined in combination with page information of the node of the function tree, interface calling information and the code dependency association relation, and the accurate corresponding relation between the natural language requirement and specific code implementation is achieved; and code defect detection can be carried out on the basis of the second matching relationship in combination with code semantic understanding information, so that detection of defects such as incomplete function implementation and business logic errors in codes of the first application program is realized.

The invention provides a service demand analysis method and device and a computer readable storage medium, and the method comprises the steps: obtaining all dialogue voice data discussed by a service demand, and converting all dialogue voice data into corresponding dialogue text documents; generating a preliminary demand document based on all dialogue text documents; performing information extraction on the preliminary demand document by using a big and small language model according to a set demand template to obtain specific information, and filling the specific information to a position corresponding to the set demand template to obtain a demand document; and performing function point analysis on the demand document by using the big and small language models to generate a function demand specification. The problem that in the prior art, work such as collection and summarization, key point extraction, induction analysis and content checking of massive multi-source heterogeneous original documents consumes a large amount of time cost is solved.