17 results about "Function point" patented technology

This application provides a functional verification method applicable to the fields of artificial intelligence or big data technology. The method includes: acquiring a preset knowledge graph, the knowledge graph including markers indicating differences between functional points in a first system and functional points in a second system, the differences including difference types; acquiring first system test cases corresponding to the differences; based on the difference types, executing a corresponding test case generation strategy on the first system test cases to obtain second system test cases; calculating the functional coverage of the second system with respect to the first system; and, if the functional coverage is greater than a preset coverage threshold, performing regression testing verification based on the second system test cases. This application also provides a functional verification device, equipment, storage medium, and program product.

The application discloses a kind of software evaluation method, device, equipment and storage medium, and specifically discloses: receiving the software requirement document uploaded by user, and the software requirement document is parsed, and target analysis data is extracted;Target analysis data includes function item description, data element type and file reference type;Based on function item description and interface image associated with function item description, a multi-modal fusion analysis technique is used to classify the function items, resulting in a classification result;The function items are checked for duplicates, resulting in a first inspection result, and the data element types and file reference types are checked for form, resulting in a second inspection result;Form checking includes illegal character checking and character duplication checking;According to the classification result, the first inspection result and the second inspection result, a function point analysis table is generated, and a software evaluation report is generated based on the function point analysis table.

The application discloses a kind of virtualization system upgrade test method, device and medium, it is related to virtual machine field.The application includes: obtaining the configuration information of virtualization system;According to upgrade influence function point, create virtual machine;After upgrade, the basic function and upgrade influence function of virtual machine are verified.Compared with the previous upgrade test of all architecture deployed in virtualization platform, only the basic function and upgrade influence function of virtual machine are verified in the method of the application after upgrade, in the case of guaranteeing the key function after upgrade, greatly reduce the workload of upgrade test, improve the efficiency of test;In addition, compared with the upgrade verification in the environment of empty load, virtual machine is created according to upgrade influence function point in the method of the application before upgrade, more close to simulate real upgrade test scene;According to upgrade influence function point, virtual machine is created to realize targetedly, avoid blindly creating virtual machine and ensure the creation of core parameters.

The application discloses an AI auxiliary-based plug-in automatic generation method and device, which comprises the following steps: receiving a natural language plug-in function requirement input by a user; performing deep semantic understanding and intention recognition on the requirement by using a large language model, and analyzing the requirement into a structured plug-in specification, including a function point list, a data structure definition, an interface calling plan and a plug-in function type; selecting an adaptive template from a preset template library according to the plug-in function type, and automatically constructing a plug-in basic engineering skeleton; calling an AI model to generate a business logic code containing an API calling placeholder on the skeleton; referring to a main system API definition document, automatically generating adaptive code and replacing the placeholder, and forming a complete code engineering; automatically packaging and deploying the engineering to a sandbox test environment, generating simulation data based on the data structure to perform automatic testing and capture errors; and after the testing, automatically registering the plug-in to a main system plug-in market or a plug-in library, so that the automatic generation and release of the plug-in are realized.

This application provides an automatic cost assessment method, system, medium, and product for petrochemical software projects, relating to the field of artificial intelligence technology. In this method, the cost assessment system utilizes a large language model to perform preliminary function point identification on project documents and retrieves the names of the preliminarily identified function points using a petrochemical industry knowledge base, supplementing it with professional information such as scale and complexity from historical projects. Then, the cost assessment system iteratively corrects the function point information through interaction between the retrieved information and the preliminary function point list. Finally, the cost assessment system determines the complexity level of each function point, calculates the adjusted number of function points based on the project complexity, and then calculates various cost information and generates an assessment report based on the adjusted number of function points and a project parameter library. This method combines the preliminary identification using a large language model with professional information from an industry knowledge base, improving the accuracy of function point identification through iterative correction, thereby enhancing the reliability of cost assessment.

The invention discloses an MBD model-oriented cross-enterprise collaborative data exchange and interface generation method and system, and belongs to the technical field of computer aided design, and the method comprises the steps: analyzing a source end MBD model, extracting PMI annotation items, and calculating a semantic annotation coverage rate; analyzing a target system API, identifying MBD related function points and calculating an API function coverage rate; calculating a fidelity coefficient based on the double coverage rates and judging an interface generation strategy; constructing a dynamic mapping matrix, calculating an adaptive mapping score of each PMI item and generating an adaptive interface code; and after the interface trial operation, calculating the actual data exchange success rate and comparing the actual data exchange success rate with the fidelity coefficient, and if the deviation exceeds the tolerance, triggering a feedback mechanism to adjust parameters. According to the method, the problems of data loss and interface failure caused by data semantic loss or API (Application Program Interface) function insufficiency in cross-enterprise collaboration are effectively solved, and the fidelity of data exchange and the robustness of interface generation are improved.

The application relates to a test case generation method and device, computer equipment and a storage medium. The method comprises the following steps: extracting a function point coordinate set from a target client corresponding burying point database; acquiring a starting label corresponding to each function point in the function point coordinate set; acquiring burying point data corresponding to each starting label; processing each burying point data to obtain a test case corresponding to the target client. The function point coordinate set and the burying point data in the burying point database indicate user historical operation behaviors and response behaviors, the test case corresponding to the target client is automatically processed and generated, manual editing and maintenance are not required, the generation cost of the test case is reduced, problems such as function point omission or case obsolescence caused by manual editing to generate the test case can be avoided, the reliability of the test case is improved, and the use of online functions is avoided from being affected.

The application relates to an engineering project investment evaluation method, system, device, medium and program product, and belongs to the field of software engineering.The method comprises the following steps: obtaining user requirement text of an engineering project; estimating function points of the project according to the text; estimating engineering project story points based on historical development data of a development team of the project and the user requirement text; determining the corresponding relationship between the function points and the story points; determining changed function points according to new requirement text; determining story points of the new requirement text according to the corresponding relationship between the changed function points and the story points; determining the estimated cost of the engineering project based on the story points of the new requirement text and the historical development data of the development team of the engineering project; and performing investment evaluation of the engineering project based on the estimated cost.The application can perform more accurate investment evaluation according to the change of user requirements, the change of function points and the characteristics of the development team, and is suitable for investment evaluation of various development teams in agile development.

This invention discloses a review method for aligning code and requirements based on a large model, comprising: obtaining a first document in structured text format from a requirement document in rich text format through format conversion; obtaining a set of requirement function point identifiers and a set of requirement fragments from the first document through cleaning and preprocessing and semantic understanding of the large model; segmenting the project source code according to a preset code syntax structure dimension to obtain a set of code fragments and storing it in a database; parsing the code fragments based on the requirement function point identifiers and the set of requirement function point identifiers using preset prompts from the large model to obtain a functional summary of the project code file; constructing a code fragment group according to a character count threshold set by the context window of the large model, and constructing a requirement-code data tuple by calculating the relevance between requirements and code; obtaining the review result through functional review of the requirement function point identifier set data tuple and storing it in a database.

The application discloses a research and development code generation method, a storage medium and a computer program product, relates to the technical field of artificial intelligence, and the method comprises the following steps: acquiring a function requirement text sent by a research and development personnel; calling a preset large language model to structurally disassemble the function requirement text, and generating a code design scheme; the code design scheme comprises function point design, database table design and API interface design; a mapping relationship is established among the function point design, the database table design, the API interface design and a preset code project; a code template list is matched based on a function point type in the function point design, placeholders in the code template list are replaced according to the mapping relationship, and a templated code framework is generated; and the templated code framework is completed to obtain research and development code. Through the unified mapping relationship and the code template list, the templated code framework is completed, and the efficiency and accuracy of the research and development code generation are improved.

This invention discloses an AI-based method for automatically identifying and completing R&D requirements, comprising the following steps: S1, Requirement parsing: Parsing the requirement document according to predefined tags in the requirement configuration table, adding dimension tags to each functional point; S2, Requirement retrieval and matching: Querying the requirement knowledge base using the tag information after functional point breakdown, combined with a large model and RAG technology, and filtering based on requirement relevance scores; S3, Requirement integration: Comparing the retrieved requirements for differences, and providing completion solutions through the large model; S4, Requirement knowledge base storage: Comparing the requirements from different versions, and vectorizing the necessary labels for the different functional standards, storing them in the knowledge base. This invention can automatically supplement user requirements, improve the completeness of requirement content, and reduce the rework rate and R&D rework costs in requirement implementation.

This application discloses a test bench generation method, apparatus, device, storage medium, and program product. The method includes: analyzing the functions to be tested of the target hardware module based on the design specifications of the target hardware module under test using a first language model to obtain at least one function point; generating at least one test point corresponding to each function point using a second language model and summarizing them to obtain a test plan; generating a test bench based on each test point in the test plan using a third language model to obtain a test bench file; performing a correctness check on the test bench file generated by the third language model using a fourth language model; if the check is correct, using the test bench file generated by the third language model as the target test bench file; otherwise, performing a test bench generation process again using the third language model based on the check feedback information to obtain a new test bench file; this can improve the functional coverage of the generated test bench file.

This application discloses a method and apparatus for adapting a device model, a readable storage medium, and a program product, applied to an Internet of Things (IoT) platform. The method includes: acquiring model information of a device model created for a target terminal to be integrated into a target application, and model information of multiple application integration models created for the target application. Different application integration models are created for different terminal categories. The model information includes attribute information, static information of function points, and dynamic information of function points. The method further involves matching the attribute information and static information of function points of the device model with those of the multiple application integration models to select a first function point from the function points included in the device model that is of the same type and matches the function point of the target application integration model. Finally, the method involves matching the dynamic information of the first function point with the dynamic information of the function points of the target application integration model to bind the first function point to the corresponding matching function point of the target application integration model, thereby adapting the device model of the target terminal to the target application.

The application discloses a kind of fast smoking verification method and system for network on chip, the method of the application includes obtaining input template file and the configuration parameter of the network on chip design to be measured;The configuration parameter of the network on chip design to be measured is injected as variable into each template file, and the simulation script corresponding to the network on chip design to be measured is generated by rendering;A smoke test is executed and the covered function points are collected by running the simulation script through the verification platform;Coverage is calculated according to the covered function points;Determine whether the smoke test converges, if the smoke test has not converged, automatically generate new simulation script according to the function points not yet covered, return to continue iteration;Otherwise, end and exit.The application aims to overcome the problem of excessive human involvement in existing network on chip testing, manual coding errors, speed up the verification environment building and network on chip design verification delivery schedule, reduce the requirements for verification personnel and computing resource consumption.

The application discloses a kind of test case anti-label function points method, device, medium, product and equipment, the method includes: after each test case of the digital circuit to be verified is executed, the function point number of the function point covered by each test case is sequentially assigned to the pre-defined global variable, each function point of the digital circuit to be verified is provided with function point number;In the process of sampling function coverage, the assignment result of the global variable is sampled and counted;According to the assignment result of the global variable, the anti-label result of the test case anti-label function point of the digital circuit to be verified is obtained, and the anti-label result is used to indicate whether each function point is marked by test case and whether test case is executed.The application can realize the automatic, efficient anti-label of test case to function point based on function coverage, and ensure the objectivity and verifiability of anti-label result, facilitate the actual completion of effective review and verification work.