45 results about "Requirements model" patented technology

According to the multi-mode man-machine interaction view and component expression method and system, the design state, the development state and the operation state are integrated, and the problems of scene linkage integration, multi-model association collaborative scheduling and the like of an aerospace equipment MOM system are solved by means of graphical interaction and the like. The method comprises construction of a knowledge graph and demand modeling in a design state, visual design and code generation in a development state, and fault diagnosis in an operation state. Compared with the prior art, knowledge can be deeply mined, codes can be automatically generated, system stability is guaranteed, development efficiency and reliability are improved, and the manufacturing and development requirements of aerospace equipment are met.

A system and method for an AI-based Automated Software Application Development Platform which intelligently gathers requirements from a business analyst and generates a runnable software application from those requirements. The AI-based platform enables the business analyst with no technical knowledge to visually model their requirements rapidly without requiring any programming Using the abstract requirements architecture and the platform, the analyst creates requirements models for the application's business processes and business tasks for each of the processes, including defining the supporting information needs. The system intelligently assists the user in defining the information needs for each of the business processes and their tasks. Once the requirements models are created by the analyst with the help of the platform, the platform automatically designs and creates an appropriate persistent canonical data model for the application from the defined information needs. The platform then creates a runnable software application. The system also provides a template for the user to input their requirements in descriptive text, and accepts requirements document for applications as written free form text or text documents written in English as input, and in a non-English language that the system automatically translates them into English. The system provides a method for reverse engineering an existing application, including generating a requirements document for the existing application such as a legacy modernization or digital transformation an old applications for redesigning, updating or revising them to accommodate a new requirements set for such applications.

The invention discloses a personalized design knowledge recommendation method based on knowledge graph and dynamic demand modeling, which comprises the following steps: firstly, constructing a design knowledge presentation layer which comprises a knowledge ontology and a knowledge graph, and then constructing a knowledge recommendation layer which comprises a knowledge ontology and a knowledge graph; the knowledge recommendation layer comprises a task stage knowledge demand model and a packet receiving party knowledge demand model, a dynamic knowledge demand vector and a task stage knowledge demand vector of a packet receiving party are matched with design knowledge nodes in the knowledge graph, and knowledge nodes most relevant to the demand of the packet receiving party are screened out; and according to a knowledge graph matching result, screening out a knowledge node most related to the demand of the packet receiving party, and generating a final recommendation result through an optimization algorithm. The method has the advantages that dynamic changes of knowledge requirements of a crowdsourcing party can be effectively solved, more personalized and accurate design knowledge recommendation can be provided, and the execution efficiency and design quality of crowdsourcing design tasks can be improved.

The invention discloses a system demand intelligent analysis and model construction method based on natural language processing, and relates to the technical field of system engineering and model-driven engineering, and the method comprises the following steps: S1, analyzing field metadata; s2, constructing a domain knowledge heterogeneous graph; s3, introducing a theme-guided attention mechanism and a graph-guided dynamic sparse attention mechanism to improve a Longform model; s4, calling an LLM model to generate an entry demand model; s5, the LLM and GNN double-engine analysis is executed; s6, introducing a PPO model as a reinforcement learning agent, and optimizing the semantic mapping rule base; and S7, inputting the design description text into the improved Longform model to generate a behavior model, a structure model and a parameter model. According to the method, the limitations of information extraction generalization, key element omission and weak semantic association of a traditional natural language processing technology in professional field text understanding are overcome, and an efficient and accurate solution is provided for system demand intelligent analysis and model automatic construction.

The invention relates to a code generation method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a demand model; obtaining an initial class diagram of a design model based on the demand model; optimizing the initial class diagram of the design model by using a multi-objective genetic algorithm and a large model to obtain an optimized design model; and generating a single system code matched with the demand model based on the optimized design model. The code generation efficiency and the code generation quality can be improved.

The invention discloses a helicopter transmission system digital engineering overall technology analysis method, and relates to the field of helicopter transmission system digital engineering, and the method comprises the steps: building a helicopter transmission system overall design digital environment; demand capturing is carried out around all benefit critical people and facing scenes; obtaining preliminary design requirements, node parameters, interface requirements and overall requirements of the helicopter transmission system; carrying out helicopter transmission system-component-part demand analysis, and establishing a demand model, a function model, a logic model and a physical model; establishing a design model, a manufacturing model, an assembly model and a test model; and establishing a comprehensive database, and storing the model established in each stage into the comprehensive database to realize numerical model multiplexing and complete digital design closed loop. The problems that a traditional analysis method is low in efficiency, low in integration level, short in simulation evaluation and long in closed loop iteration period are solved.

The application provides a civil aircraft strength evaluation requirement model construction and verification method based on system engineering, which comprises the following steps: S1, establishing a stakeholder requirement database; S2, constructing a top-level requirement model; S3, establishing an application scenario database based on the top-level requirement model, and establishing a corresponding relationship between the top-level requirement and the scenario; S4, constructing a civil aircraft strength evaluation requirement model based on the corresponding relationship between the top-level requirement and the scenario; S5, verifying the requirement traceability chain in the civil aircraft strength evaluation requirement model, and rectifying the requirement traceability chain that does not meet the requirements. The method can establish a stakeholder requirement-top-level requirement-scenario-architecture-verification requirement traceability chain, so that the source of a verification requirement from a stakeholder requirement can be quickly understood, when a stakeholder requirement is changed, the strength evaluation method that needs to be modified related to the stakeholder requirement can be quickly located, and the related model can be modified, and various scenario requirements can be met.

The invention discloses a resource scheduling method and device, terminal equipment and a storage medium, and relates to the technical field of power systems, and the method comprises the steps: converting collected resource data into a resource sensing state value; identifying a feature parameter data set of each task, analyzing a matching relationship between the feature parameter data set and a task demand, screening out a parameter combination matched with the current resource sensing state value from the feature data set according to the matching relationship, and generating a demand modeling parameter set according to the parameter combination; collecting sample data related to the demand modeling parameter set, performing time sequence analysis on the sample data to obtain sample analysis data, comparing difference conditions of task completion rates under different sample analysis data, and adjusting parameters of the modeling parameter set according to the difference conditions to obtain a parameter docking result; and screening out a parameter combination matched with the current sample condition from a parameter docking result, and converting the parameter combination into a resource scheduling strategy. According to the invention, the resource scheduling effect can be effectively improved.

The invention provides a micro-service code automatic generation method, system and equipment based on a multi-level model and a medium, and relates to the technical field of software development, the method comprises the following steps: according to system development stage characteristics and information dimensions, the system is subdivided into a multi-level model description framework comprising a demand model, an architecture model, a design model and a deployment model; and based on a mapping rule between a predefined model and a code, converting the multi-level model into an executable template code based on a Spring micro-service framework through a hierarchical code generation mechanism, so as to realize an automatic multi-level code generation process from demand to a final system. According to the method, the problems that in existing model driving code generation, input is not standard, generated codes are not complete, a complete information system is difficult to generate during large language model code automatic generation, and the codes are possibly inconsistent are solved, and a more efficient, standard and complete code automatic generation scheme is provided.

The application relates to the technical field of software development tools, and discloses a micro application generation system and method based on natural language interaction, which comprises four core components of a natural language understanding module, a requirement modeling module, a code generation engine and a deployment and integration platform; the natural language understanding module generates a structured semantic representation through intent recognition, entity extraction and context analysis; the requirement modeling module constructs a data model, a process logic and an interface prototype based on the semantic representation, and optimizes model parameters by using reinforcement learning; the code generation engine generates cross-platform code of a micro service architecture through template matching and component assembly; and the deployment and integration platform realizes seamless integration of external systems and Internet of Things devices through standardized interfaces. The application can solve the problems of traditional low-code platforms, such as dependence on visual dragging operation, rough requirement analysis and insufficient cross-field adaptation.

The application discloses an intelligent splitting and assembling method of a database model based on a business scene, belongs to the technical field of database management and application, and relates to the technical field of database management and application. The splitting method comprises the following steps: converting an abstract or unstructured business model into a calculable or structured graph representation form, mapping a business function unit into a node in the graph, mapping the relationship between businesses into an edge, and constructing a business topology structure. The assembling method comprises the following steps: acquiring the business topology structure, automatically analyzing a natural language business requirement into a structured requirement model, performing feature extraction on the analyzed requirement, generating a multi-dimensional feature representation, and assembling business model slices in a progressive matching mode. The application can improve the database operation efficiency, reduce the database construction and management cost, and enhance the adaptability and flexibility of the database to business changes.

The invention discloses an intelligent engineering integrated construction and operation and maintenance management method suitable for multiple types of buildings, and relates to the technical field of building intellectualization, and the method is realized through the following core steps: firstly, carrying out building type adaptation and demand modeling, and constructing an intelligent engineering demand model adaptive to a target building type; generating a modular construction scheme based on the demand model and implementing dynamic management and control; after construction is completed, cross-system integrated debugging is carried out, and heterogeneous system data interaction adaptation is achieved; an integrated operation and maintenance management platform is built and intelligent monitoring is carried out; and finally, operation and maintenance decision and full-life-cycle management are realized based on the monitoring data. The method can be adapted to various building types, complete-process collaborative management and control of construction and operation and maintenance are achieved, the construction quality and operation and maintenance efficiency of intelligent engineering are improved, and data support is provided for full-life-cycle optimization of a building intelligent system.

The present application relates to a method, system, device, and storage medium for generating a product manufacturing process specification, wherein the method comprises: constructing a process specification requirement model for product manufacturing that includes product quality, production cost, and production efficiency requirements; obtaining process-related test data from a pre-conducted product development process to obtain a process data sample; and generating a process specification that meets the target requirements based on the process specification requirement model and the process data sample. The present application can positively form a process specification that meets product quality requirements, production cost, and production efficiency requirements, and can get rid of dependence on manual experience. By means of knowledge acquisition and coupling, it can guide the precise writing of process technology documents.

The invention discloses an LLM-based system-level demand modeling and analysis method and platform, and belongs to the field of demand engineering and system modeling. The invention provides an LLM (Logical Language Model)-driven automatic demand behavior model construction and conflict detection method aiming at the problem that accurate modeling and consistency verification of natural language system-level software demands are difficult. According to the method, control flow logic in a demand text is recursively analyzed by simulating an expert stratified analysis process, and a behavior model is automatically generated. The modeling process comprises the steps of recognizing atomic activities, extracting a hierarchical relation and constructing a behavior model. On the basis, a system-level behavior tree is constructed based on preposition and postposition conditions of behavior nodes, a plurality of demand models are comprehensively analyzed, and behavior consistency analysis and conflict detection on the system level are achieved. According to the method, automatic expansion from the demand-level behavior model to the system-level behavior model can be realized, and an effective technical scheme is provided for automatic modeling and analysis of system-level demands.

The invention discloses an inter-model consistency analysis method applied to engine control system software, and the method comprises the following steps: firstly, carrying out the formalized modeling of a demand document and the formalized extraction of a design model through a preset formalized modeling language, and obtaining a formalized demand document and a formalized design model; and generating a corresponding demand model and a design model. Generating one or more demand-based demand model simulation cases based on the demand model, and generating corresponding design model simulation cases by referring to the demand model simulation cases; then, dynamic analog simulation is conducted on the demand model and the simulation model through the demand model simulation case and the design model simulation case respectively, and a demand model simulation result and a design model simulation result are obtained. And finally, according to a demand model simulation result and a design model simulation result, carrying out model consistency analysis on the demand model and the design model so as to determine whether a consistency problem exists between the demand model and the design model.

The application relates to a model verification method suitable for a distributed system of SysML, Simulink and AADL, and belongs to the technical field of system integration verification. The method comprises the following steps: according to model description files of SysML, Simulink and AADL, extracting model element sets and related attribute information respectively to obtain SysML, Simulink and AADL model information mapping tables; according to selected verification rules, obtaining required model elements and related attribute information from the SysML, Simulink and AADL model information mapping tables; according to the selected verification rules, verifying the obtained required model elements and related attribute information, if the verification is passed, no prompt information is generated; otherwise, it is prompted that the selected verification rules are not met, and a verification result is output. The application solves the problem that the consistency, real-time performance and safety of the design integration stage and the corresponding demand models and design models of each subsystem cannot be verified at present.

The invention relates to the technical field of digital twinning, and particularly discloses an MBSE-based production line digital twinning system design method, which comprises the following steps of: constructing a physical operation scene model and a digital operation scene model of a production line; constructing a physical system demand model and a digital operation scene model of the production line; constructing a physical operation activity model and a digital operation activity model of the production line; constructing a physical validity measurement model and a digital validity measurement model of the production line; constructing a physical system module model and a digital system module model of the production line; constructing a physical system function model and a digital system function model of the production line; constructing a physical module component model and a digital module component model of the production line; and constructing a physical system parameter model and a digital system parameter model of the production line.

The invention discloses a software product multi-version parallel development method based on a large language model, and the method comprises the steps: receiving a software multi-version development request, and generating a multi-version demand model through natural language processing and analysis; constructing a training data set containing version difference information based on the multi-version demand model, and performing fine tuning on the large language model in combination with the instruction template to obtain a target large language model adapted to multi-version development; double storage spaces are configured for each software design stage, and initial design achievements and final design achievement storage of all versions are processed in parallel; generating, complementing and optimizing intelligent codes of all versions by utilizing a target large language model; design and code conflicts among multiple versions are detected in real time and intelligently coordinated and solved; and integration verification of all versions is completed through combination of automatic testing and manual testing. According to the method, parallel efficient development of multi-version software is realized, the code generation accuracy is improved, and the development cost caused by demand change and version conflict is reduced.

The application discloses a software requirement document analysis method and device and medium, and belongs to the technical field of document analysis, and is used for solving the technical problems that the information analysis in the existing requirement document has content deviation, manual analysis and extraction are complex and tedious, and the requirement document cannot be efficiently and accurately analyzed. The method comprises the following steps: performing layout analysis on text information and image information of the requirement document to obtain layout area information; classifying and positioning a plurality of elements in the page requirement information to obtain first key information based on the page requirement information; performing text analysis on the word sequence of the function requirement information to obtain second key information based on the function requirement information; performing layout recognition training on the requirement document based on the first key information and the second key information to obtain a comprehensive requirement model; and defining the requirement document to be analyzed to generate corresponding software development parameter information.

The invention provides a client heterogeneous federated learning method for a mobile computing environment, and relates to the technical field of federated learning methods, and the method comprises the following steps: screening a client most suitable for participating in federated learning from federated learning candidates through a prediction-based heterogeneous federated learning active configuration strategy; in combination with an interactive knowledge propagation strategy based on channel distillation and decoupling knowledge distillation, knowledge migration is realized through channel distillation and decoupling knowledge distillation technologies; a client-side in-turn chairman strategy is introduced, that is, each client side is allowed to serve as a chairman teacher in turn, and transmission of knowledge in the client sides is promoted. According to the method, on the premise of ensuring data privacy and security, core challenges such as strong dynamic property of client equipment, data isomerism and client personalized requirements (model isomerism) in a mobile computing environment can be effectively handled, so that the model performance in federated learning is remarkably improved, and an excellent comprehensive effect is realized.

A method for analyzing system safety requirements. The method includes parsing a plurality system and / or software specific requirements, and filtering the plurality system and / or software specific requirements using a generic system safety requirements (GSSR) model to generate a matched generic safety requirement in pre-set tables.

The application provides a software test case generation method and system based on domain knowledge constraints. A domain knowledge base covering domain basic knowledge and industry testing criteria is constructed; the original requirement text is normalized, the semantic understanding ability of the knowledge base and the large language model is combined, the requirement type is identified and the structured decomposition rule is dynamically matched, and a structured requirement model is constructed; the test focus features in the requirement are extracted, and the test item decomposition requirements are formulated; the large language model is driven to expand the scene and systematically disassemble the requirement, and the systematic test items are generated according to the test item decomposition requirements; the test cases are generated in multiple dimensions with the test items as the input, and the traceable relationship among the requirements, the test items and the test cases is established; the integrity check and consistency check are performed, and the test design result is output. The application enables the large language model to perform the test design task in a controlled and professional knowledge environment, and realizes the systematic generation from the natural language requirement to the executable test case.

The invention belongs to the technical field of computers, and particularly relates to a scheduling management method for server-free integrated learning reasoning service. Comprising the following steps: S11, acquiring historical request data, a base learner model and a system resource state in a cloud application system; s12, performing off-line model preference analysis on the historical request data, and performing model static weight distribution; s13, according to the static weight, the system resource state and the request requirement, the online requests are classified, the weight is finely adjusted, and the requests are scheduled to integrate reasoning results; s14, carrying out dynamic optimization on the scheduling model; and the like; according to the invention, by considering multiple factors such as demands, models, resources and the like, dynamic scheduling of requests is realized, and the balance of service precision, throughput and resource utilization rate is improved; besides, according to the method, the service performance and the resource occupation condition are improved by combining the characteristics of integrated learning reasoning service without a server and adopting a multi-model instance scaling algorithm based on reinforcement learning.

A method (200) for planning a product (105) comprises steps of determining responses of a plurality of potential users (120) to the product (105); wherein first responses are determined in a first format by means of a first method and second responses are determined in a second format by means of a second method; creating a requirements model based on the first and second responses by means of a machine learning technique (140); and determining requirements for the product (105) based on the requirements model.

This invention proposes a knowledge mapping system and analysis method for software reliability requirements, belonging to the field of software reliability requirements analysis. This method constructs a standardized requirements modeling system comprising an external cross-linking interface model, a functional logic model, a functional combination model, and a state scenario model to achieve a formal representation of software requirements. It then decomposes and summarizes individual functional requirements, identifies potential failure modes based on a pre-defined classification and comparison system, and establishes a three-layer mapping system of software functional requirements – failure modes – reliability requirements. This completes the forward derivation and transformation of reliability requirements, outputting standardized analysis results. This invention achieves standardized and traceable processing of software reliability requirements analysis, providing prerequisite input and logical basis for the development of highly reliable software, ensuring system stability and task success.

The invention belongs to the technical field of system engineering and software engineering, and provides a function logic confirmation method, system, equipment and medium based on a demand model.The method comprises the steps that firstly, a minimum function module framework organized according to levels is constructed for a system to be confirmed; secondly, processing an original natural language demand to form a demand subset corresponding to each functional unit; thirdly, a single-function logic model is established for each minimum function module and tested, and original requirements are corrected if logic defects are found; and finally, integrating a plurality of confirmed single-function models into a multifunctional module according to a hierarchical relationship and an interface relationship, executing an integration test, and if an interaction logic defect is found, correcting the demand again until the test passes, and completing closed-loop confirmation of the system-level function logic. According to the method, a'modeling-testing-correcting 'closed-loop process is constructed, the dependence of demand confirmation on personnel experience is effectively reduced, and the correctness and integrity of demand logic are remarkably improved.

This application relates to a code generation method, apparatus, device, storage medium, and program product. The method includes: obtaining a requirement model; obtaining an initial class diagram of a design model based on the requirement model; optimizing the initial class diagram of the design model using a multi-objective genetic algorithm and a large model to obtain an optimized design model; and generating monolithic system code matching the requirement model based on the optimized design model. This application can improve code generation efficiency and code generation quality.

The application discloses a device for supporting complex system requirement integrity modeling and evaluation, and relates to the technical field of system engineering, and comprises requirement modeling, requirement integrity evaluation, design process modeling, requirement and design process ontology integration, requirement traceability expression and evaluation; the requirement modeling module comprises requirement entry modeling and requirement content constraint definition; the requirement modeling module mainly functions to realize requirement model creation based on requirement integrity expression rules and constraints, and guarantee requirement content integrity in the created requirement model; in the requirement modeling module, the requirement content constraint definition submodule provides constraints to the requirement entry modeling submodule; the application uses entry modeling technology to decompose high-level requirements into specific and operable entries in the requirement modeling module, which promotes in-depth understanding of the requirements and ensures that each requirement is accurately defined and recorded.

The invention belongs to the technical field of software development, and discloses an intelligent auxiliary method and system for software development, and the method comprises the following steps: obtaining a software development demand text, and generating a structured demand model based on a natural language processing model and a software development domain knowledge graph; generating a plurality of sets of candidate technical schemes based on the structured demand model in combination with a technical stack adaptation rule, and performing scoring; on the basis of a pre-training coding model, in combination with context information of a current development scene, real-time generation of codes is achieved; based on the structured demand model and the generated code, automatically generating a test case and generating a test report; data of all links in the whole development process is collected, and continuous parameter optimization is conducted through a reinforcement learning algorithm. By the adoption of the method and system, intelligent assistance of whole-process software development from demand analysis to iterative optimization is achieved, the development efficiency and code quality are improved, the development threshold is lowered, and the technical problems that an existing auxiliary tool is fragmented and poor in adaptability are solved.

The invention relates to the technical field of component assembling, and discloses a component assembling system and method, electronic equipment, a storage medium and a program product, and the component assembling system comprises a component market, a visual assembling designer and an application assembling model; the component market is used for storing a plurality of first target components; the visual assembly designer is used for acquiring demand information input by a user and analyzing the demand information to obtain a demand model; the application assembly model is used for matching the demand model with a plurality of first target components in the component market to obtain a plurality of second target components which are successfully matched, and sending the plurality of second target components to a developer for auditing; and the application assembly model is further used for assembling the multiple second target components passing the audit of the developer and sending the assembly result to the developer for audit, the matched components are analyzed and selected according to the user requirements, component assembly is carried out, and the flexibility of component assembly is improved.