87 results about "Requirements analysis" patented technology

The invention relates to the technical field of computer data processing, in particular to an intelligent model system for automatically generating a standard protocol interface, which comprises the following steps: acquiring demand information input by a user through a demand acquisition module and converting the demand information into standardized demand parameters; the protocol knowledge base module outputs a compliance rule set according to the target protocol type, and the interface generation module automatically generates an interface source code, a configuration file and an interface document according to the standardized demand parameters and the compliance rule set. The verification module verifies and optimizes the generated interface, and the self-learning module updates system analysis logic and rule content according to a verification result. The system adopts a natural language processing and structured analysis double-path fusion technology to realize accurate analysis of requirements, realizes intelligent matching of protocol rules through a protocol knowledge graph, completes automatic generation of codes based on a symbol reasoning and neural code generation technology, forms a complete closed loop of requirement analysis, protocol adaptation, code generation and verification optimization, and realizes automatic analysis of the requirements. And the interface development efficiency and quality are effectively improved.

The invention discloses a development management system and method for an API interface, and relates to the technical field of software engineering. The system comprises: an intention understanding and design engine, which analyzes a multi-modal service demand into a structured API development task; the agents collaboratively develop a network, and the multiple AI agents are dispatched to generate API specifications, codes, test cases and deployment configurations in parallel; the API ecological dynamic map construction module is used for automatically constructing and updating a dynamic map of dependency and data flow direction between APIs based on a generated product; a continuous learning and evolution engine analyzes the atlas and operation data to identify optimization points and generate or execute evolution policies. All the modules form a closed loop, and output of the evolution engine is fed back to the intention understanding engine to optimize subsequent design. The corresponding method comprises the steps of demand analysis, intelligent collaboration, atlas construction and closed-loop optimization. According to the method, automatic development, intelligent collaboration and continuous architecture optimization of the API are realized, and the development efficiency and the system maintainability are improved.

The invention provides a unified computing power management and control platform and method.The computing power management and control platform is integrated with a plurality of intelligent computing centers in different position areas through a unified northbound interface, a resource management module abstracts physical resources of the intelligent computing centers into virtual resource data, and a unified resource pool is constructed; the data acquisition module receives operation monitoring data of each intelligent calculation center and preprocesses the operation monitoring data; the resource sensing module is used for constructing a dynamic resource portrait for the uniform resource pool based on the preprocessed operation monitoring data; the task sensing module performs resource constraint and service quality demand analysis on a calculation task submitted by a user, and constructs a task portrait; the resource scheduling module forms a resource scheduling decision result according to the dynamic resource portrait and the task portrait; and the resource arrangement module performs resource scheduling and calculation task allocation according to the resource scheduling decision result. The overall utilization rate of the heterogeneous computing power cluster is remarkably improved, and the island effect of a traditional resource pool is broken through.

The invention relates to the technical field of computers, and discloses a test case generation method and device, equipment and a medium, and the method comprises the steps: receiving a software test demand through a demand analysis agent, extracting a test point of the software test demand, and constructing a target knowledge graph according to the test point; generating an initial test case based on the test target knowledge graph through the case generation agent; executing the initial test case through the execution verification agent to obtain a test result; the test result comprises validity judgment and judgment basis of the initial test case; and in response to the test result, judging that the initial test case is an invalid test case, optimizing strategy parameters of each agent in the agent system based on the judgment basis through the evolutionary learning agent, and generating a new test case. The application can respond to the change of the test demand in real time, automatically adjust the test strategy, and improve the test quality and efficiency.

This application discloses a method and system for audit data analysis requirements parsing based on metadata relationship graphs. By acquiring audit text, metadata relationship graphs, audit rule bases, business-level templates, and business benchmark data, the audit text undergoes semantic flow parsing and is mapped to the metadata relationship graph. A field strength correlation graph is generated through propagation calculation. Activated nodes are selected based on field strength thresholds and their relationships are expanded using the audit rule base to construct activated subgraph data. Based on the business-level templates, the activated subgraphs are reconstructed into a tree-like parsing structure and pruned according to field strength to generate a pruned parsing tree. Finally, node perturbation coefficients are calculated based on the business benchmark data and hierarchically aggregated according to the tree structure to generate an audit requirement perturbation graph. This transforms the traditional audit data analysis process, which relies on manual experience, into an automated and intelligent graph calculation process, significantly improving the accuracy, comprehensiveness, and efficiency of audit data analysis.

The invention belongs to the technical field of vehicle-road cloud integrated systems, and discloses a method for analyzing functional requirements of a vehicle-road cloud integrated system based on LLM, and the method comprises the following steps: S1, collecting and preprocessing basic data; s2, structured extraction of VRCIS requirements: semantic analysis is performed on the design requirement document based on LLM, a data structure is converted, and functional requirements and non-functional requirements are extracted; s3, constructing a VRCIS demand and benefit-critical person matrix: based on the output of the S2, mapping the function demand of each VRCIS benefit-critical person and the system design key dimension, and generating a standardized quantization matrix which can be identified by a machine; s4, quantitative analysis of demand priorities: identifying the demand priorities through quantitative analysis by utilizing the benefit-critical person matrix constructed in the S3 and fusing cost-benefit analysis; and S5, outputting a demand analysis result. The method is high in analysis efficiency, and the problems that in the analysis process, demand decomposition is not in place, the demand priority is not clear, and a general demand template cannot fully express VRCIS complexity are solved.

This invention relates to the technical fields of data quality, data management, and data governance. Specifically, it relates to a method for simultaneously conducting data governance within a newly built business information system. This method establishes a general data management standard covering data specifications, database specifications, and process specifications; builds a supervisory standard that runs through the entire process of project requirements analysis, design, development, deployment, and operation and maintenance; and integrates these two types of standards into the technical requirements of the newly built business system project. Data governance is implemented step-by-step at each stage of the project, thus avoiding data quality problems from the source of business system construction. This avoids the additional costs and schedule risks of traditional post-event governance, ensures that the system data format is uniform, secure, and compliant, and can seamlessly integrate with the enterprise's existing data governance system, solving the problems of data silos, redundancy, and inconsistency in multi-system parallel scenarios.

This invention relates to a multi-objective trade-off optimization and decision-making method and system for electric drive controllers, including: constructing a requirements analysis model; constructing a top-level performance target analysis model; constructing a top-level system architecture design model, constructing test models for subsystems, sub-functions, and sub-modules, and designing test cases; constructing design modules, implementation path models, and corresponding simulation models for subsystems, sub-functions, and sub-modules; multi-objective trade-off optimization; prototyping and verification; building a digital twin system; and knowledge base construction and iteration. This invention enables early quantitative evaluation and automatic optimization of design schemes.

A requirements analysis system outputs an existing requirement, to which a topic is assigned, as training data. The number of first requirements, to which at least one is assigned by a topic and a sub-topic, is greater than or equal to a threshold. This training data is used to train a classification model that assigns topic candidates to at least a second requirement, described in a second document as the analysis target, and in which the number of topics is adjusted. The system receives the training data to create the classification model, feeds the second requirement into the classification model, assigns topic candidates to the second requirement, and assigns sub-topics to the second requirement for each topic candidate, in relation to the topic candidates obtained from the hierarchical dictionary.

This invention discloses a software testing requirements analysis method based on knowledge graphs, comprising the following steps: Step 1: Collecting requirements-side and verification-side data to form a test requirements analysis corpus; Step 2: Extracting semantic objects of requirements, behaviors, and assertions; Step 3: Constructing a three-domain test knowledge graph; Step 4: Generating a test assertion tension field; Step 5: Inputting the test assertion tension field into an improved Hypergraph Transformer model to obtain a test requirement tension propagation feature map; Step 6: Generating a test requirement gap map; Step 7: Obtaining the test requirement decomposition results; Step 8: Updating the three-domain test knowledge graph and the test assertion tension field based on test execution feedback. This invention employs an assertion gap tension resonance mechanism and an improved Hypergraph Transformer model to improve the accuracy of software testing requirement gap identification and decomposition.

A building system can operate to receive a requirement to implement an artificial intelligence (AI) service. The requirement can include an indication of a type of an entity, wherein the AI service is configured to generate an analytic for the entity of the type of the entity or a control setting for the entity of the type of the entity. The requirement can include a data element that the AI service is configured to operate on to generate the analytic or the control setting. The building system can operate to determine that the building system meets the requirement to implement the AI service responsive to a determination that a digital twin of the building system includes the entity of the entity type and the data element and implement the AI service responsive to a determination that the building system meets the requirement.

The invention discloses an intelligent automatic test system and a test method, and belongs to the technical field of software testing, the system comprises a hardware layer and six software modules, namely a demand analysis module, a large model processing module, a test execution module, a self-healing optimization module, a result analysis module and a knowledge base management module, which are deployed on the hardware layer. The method comprises the following steps: extracting structured data through a demand analysis module, and intelligently generating test assets by a large model core processing module; the test execution module adopts a fusion positioning technology to carry out multi-terminal automatic test; the self-healing optimization module monitors the interface change in real time and automatically corrects the script; the result analysis module identifies defects and generates a report; and the knowledge base module continuously iterates to provide support. According to the invention, full-process automatic closed loop from demand to report is realized, the problems of low efficiency, poor compatibility and high maintenance cost of the traditional test technology are solved, and the test intelligence level and the adaptive capability are obviously improved.

The invention discloses a normalized programming method and device for an information system and electronic equipment. The method comprises the steps of S1, demand analysis; step S2, specific specification conversion; s3, generating a subfield code; step S4, testing sub-field codes; s5, field codes are generated; and step S6, field code testing. Through meta-specification driving, closed-loop verification and intelligent repair during operation, full-link normalization and automatic development from demand to operation and maintenance are realized, and the technical problems of demand-implementation fault, specification deficiency, high manual dependency degree, abnormal response lag and the like existing in traditional information system development are effectively solved; and the development efficiency, the system reliability and the maintainability are obviously improved.

The application discloses a PLC code generation and verification method based on a large language model, which comprises the following steps: generating multi-stage multi-modal input data, wherein the multi-stage multi-modal input data is used for representing user requirements and formulating a system design scheme according to a requirement analysis result; the multi-stage comprises a requirement analysis stage and a design stage of a complete engineering cycle; the multi-modal input comprises a P&I D diagram and natural language; then, PLC code is generated according to the multi-stage multi-modal input data; then, the generated PLC code is verified and tested, wherein the verification and testing comprises code verification and compiler verification; finally, the PLC code is deployed after the verification and testing of the PLC code are completed. The embodiment of the application has high accuracy and high automation degree, can provide a network security researcher with an efficient and accurate PLC code deployment method, and can be widely applied to the technical field of computers.

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 invention relates to an intelligent synthesis-oriented spacecraft component equipment description method, and belongs to the technical field of architecture design. Abstract modeling and unified description are carried out on management operation of common component equipment in a spacecraft control subsystem, an application example is given, and the development efficiency and quality of spaceflight embedded software intelligent composite codes can be improved. According to the method, firstly, component equipment composition of an existing spacecraft control subsystem is combed, then general and difference demand analysis is carried out on component equipment management functions of the spacecraft control subsystem, then a software unified equipment model oriented to control system components is established, and finally a specific example is given. The method can quickly adapt to software codes formed by different parts of the control system, the reuse capability of the control software is improved, and then intelligent synthesis of the software is supported.

This invention discloses an edge-side intelligent scheduling method and system for satellite and ad hoc network collaboration, relating to the field of wireless communication technology. The method includes: constructing a terminal map based on terminal device information; activating a pre-analysis platform based on task release signals; performing requirement analysis on the intelligent tasks of a first terminal to obtain multi-dimensional resource constraints; combining the terminal map and resource constraints, obtaining the independent completion probability through a preset capability evaluation model built into the first terminal; if the probability does not reach a preset threshold, initiating a collaborative scheduling process; a second terminal performs feasibility verification and provides feedback; the first terminal then determines the optimal collaborating terminal and completes intelligent task scheduling accordingly. This invention solves the technical problem that single-terminal devices cannot independently complete intelligent tasks in multi-terminal cross-domain collaborative communication scenarios due to resource and capability limitations, achieving accurate task allocation and efficient execution in edge-side communication scenarios, and improving the reliability of task completion and resource utilization efficiency in complex communication environments.

The invention relates to the technical field of airborne system design, and discloses an airborne system digital forward design method, device, equipment and medium, a design process from demand analysis, architecture design, architecture tradeoff to simulation verification is established, integration and optimization of the airborne system design process are effectively realized, machine learning and multidisciplinary design optimization are combined, and the design efficiency is improved. According to the method, knowledge in multiple fields such as machinery, electronics and software is fused, design rules are mined from historical design cases through deep learning, a multi-target tradeoff analysis model is established, automatic generation and optimization of an architecture scheme are achieved, dependence on artificial experience is remarkably reduced, airborne system design efficiency is improved, design change cost is reduced, and the method is suitable for large-scale popularization and application. And the reliability of the airborne system is improved.

The application discloses a kind of information system standardization programming method, device and electronic equipment.The method comprises the following steps: step S1, requirement analysis;Step S2, specific specification conversion;Step S3, subfield code generation;Step S4, subfield code test;Step S5, field code generation;Step S6, field code test.The application realizes the full-link standardization and automatic development from requirement to operation by meta-specification driving, closed-loop verification and runtime intelligent repair, effectively solves the technical problems, such as requirement-implementation fault, specification loss, high artificial dependence and abnormal response lag, in traditional information system development, and significantly improves development efficiency, system reliability and maintainability.

The application relates to the technical field of code automatic generation, in particular to a system and method for automatic code generation, which comprises the following steps: a requirement analysis module receives user requirements through multi-modal input, and extracts formatted requirement information by using a BERT language model; a template selection module selects a code template from a plug-in template library; a parameter extraction module extracts and verifies key parameters by using a machine learning algorithm; a template filling module fills the parameters into the template and generates a code framework; a framework verification module verifies and corrects the code framework; a code generation module outputs the corrected code framework as a code file and integrates the code file into a development environment of a user project; and a feedback iteration module receives user feedback, analyzes and optimizes system performance. Through full-process automation and intelligent design, the application greatly improves the efficiency and accuracy of code generation, optimizes user operation experience, and can be widely applied to various programming languages and various development scenarios.

This invention discloses an intelligent generation method and apparatus for well logging acquisition construction design. The method includes: determining a matching template from a pre-established well logging acquisition construction design template library based on the well logging task category, well type, and well shape in the well logging acquisition task notification; using a well logging acquisition construction information knowledge graph based on a pre-established well logging team information library to screen qualified well logging teams that match the well logging task category, well type, and well shape in the notification and whose relevant information is not on a set blacklist; and using the knowledge graph to extract the information of qualified well logging teams required for the template from the well logging task notification and the well logging team information library, and filling this information into the template to generate the well logging acquisition construction design. This method enables intelligent requirements analysis for well logging acquisition construction design, improving the quality and timeliness of design preparation.

A data processing system for selecting configurations for virtual functions includes a runtime processor coupled to a reconfigurable processor having arrays of coarse-grained reconfigurable units. The runtime processor receives a virtual function request specifying resource requirements including compute requirements, memory requirements, or performance requirements. The runtime processor analyzes the resource requirements to determine a resource profile characterizing the virtual function's computational needs, evaluates available configuration options that provide different array allocations, and selects a configuration that matches the resource profile to configuration capabilities. Selection is based on comparing the resource profile against capability thresholds, where configurations providing one array per virtual function satisfy low requirements, configurations providing two arrays satisfy medium requirements, and configurations providing four arrays satisfy high requirements. The selected configuration optimizes resource utilization while meeting the virtual function's requirements.

This invention provides a collaborative optimization method for the main hydraulic cylinder system of a super-large piling vessel adapted for deep-sea applications, belonging to the field of marine engineering equipment technology. This invention constructs a five-dimensional collaborative system encompassing navigation, shallow water, energy conservation, seakeeping, and safety, including: multi-scenario requirement analysis; navigation-operational height collaboration, enabling rapid folding of the piling frame via quick-change interfaces; shallow water-buoyancy adaptation collaboration, linking the buoyancy tank to adjust draft and optimize hydraulic cylinder thrust; power grid-hydraulic cylinder energy efficiency collaboration, maintaining the main engine's economical load through energy storage regulation; seakeeping-attitude stability collaboration, linking anti-roll tanks and dampers to suppress roll; safety-lifespan early warning collaboration, predicting component lifespan based on digital twins; and full-condition benefit assessment and parameter iteration. This invention achieves dynamic linkage between the main hydraulic cylinder and various subsystems, solving the pain points of poor adaptability and insufficient collaboration in traditional equipment across all scenarios, significantly improving operational efficiency, energy conservation, and safety.

A cause-effect graph generation device according to one aspect of the present disclosure comprises: a requirement analysis unit that uses a specification in which a requirement relating to a development target is described in natural language as input and uses a large language model to generate a condition relating to business logic represented by the specification and a truth table representing a relationship between the authenticity of the condition and the authenticity of results related to the business logic; a logical expression generation unit that uses the condition and the truth table as input and uses the large language model to generate, for each of the results, a logical expression which derives the results from the condition; and a cause-effect graph generation unit that uses the logical expression as input to generate a cause-effect graph which visualizes a relationship between the condition and the results.

The invention provides a method for carrying out AI interview through an applet, and the method comprises the steps: enabling an enterprise to register through a webpage end and submit qualification authentication, enabling the enterprise to input a post demand after the authentication is passed, constructing a screening model based on enterprise data and an industry portrait, and selecting a matched person from candidate information; the enterprise selects a question bank or uploads a resume to generate a personalized interview test paper, and sends an interview invitation containing a link to the candidate through an applet; the candidate receives an invitation to click a link to enter an applet, and the applet prompts to open a microphone camera permission and enters an interview interface after detecting a device state; after interview is finished, the system collects voice and video data, the data is fused through a visual big language model to extract key information, and the big language model analyzes and generates a quantitative evaluation report according to post requirements and feeds back the quantitative evaluation report to an enterprise. According to the invention, the recruitment matching precision and interview efficiency can be improved, the human prejudice is reduced, and the evaluation objectivity is ensured.

The application relates to the technical field of software tracing, in particular to a software tracing method and system based on multi-agent collaborative decision-making, which comprises the following steps: acquiring an initial data set, wherein the initial data set comprises a requirement document and source code; using a requirement analysis agent to analyze the requirement document to generate a structured requirement representation, and simultaneously using a code analysis agent to analyze the source code to generate a code module structured description; and inputting the structured requirement representation and the code module structured description into a tracking chain generation agent. Through the division and cooperation of multiple agents, the application combines a knowledge base and a large language model to realize more efficient and accurate requirement and code tracing. The agent collaboration improves the processing capacity of complex tasks through a task allocation and feedback mechanism, and has a significant advantage in requirement change and multi-level dependency relationship processing.

The invention provides a test case generation method and device, the device comprises a test case generation model, and the test case generation model comprises a multi-source data analysis module used for preprocessing multi-source data to obtain preprocessed data and extracting entity semantic information from the preprocessed data, performing association analysis on the information to obtain a structured knowledge graph; the thinking tree driven test demand analysis module is used for performing functional decomposition, boundary analysis, state transition and abnormal path processing on the analysis result to obtain a test point set; the test case generation module is used for sequentially performing test point structured analysis, context enhancement, engineering prompt, structured output and quality verification on the test point set; and the fault knowledge base optimization module is used for sequentially carrying out data preprocessing, feature extraction and fault mode mining on historical faults and test record files to obtain optimized test cases.

The invention discloses a research, development and operation method and device for security left shift, and relates to the field of software development processes and security management.The method comprises the steps that a security demand baseline is established in the demand analysis stage, security demands and business demands are fused, and risk protection measures are determined; security architecture design review is carried out in the architecture design stage, and a security team carries out threat modeling on the system architecture and carries out one-ticket negative right; in the code development stage, code specifications, open source component vulnerabilities and logic risks are scanned in real time through a static code analysis tool, and a code security closed-loop management mechanism is established; in the compiling and constructing stage, code review and component list filing are implemented, a security review report is formed by combining a dynamic penetration test and a running flow test, and a security strategy is updated through a continuous monitoring mechanism to deal with new threats. Security practice can be systematically integrated in the early stage of the software development life cycle, and the later vulnerability repair cost is remarkably reduced.

The invention discloses a data center operation and maintenance courseware material intelligent screening system based on a production scene, and relates to the technical field of courseware material screening, and the system comprises a data collection module, a material storage and classification module, a demand analysis module, a multi-dimensional screening module, a dynamic optimization module, an output display module and an authority management module. Through modular design and multi-dimensional technical innovation, a full-process intelligent solution is provided for data center power equipment operation and maintenance courseware material screening, scientificity and practicability of courseware research and development are remarkably improved, a closed loop from material collection, management and screening to optimization is formed, the material screening process is more efficient and accurate, and the screening efficiency is improved. And finally output materials are closely attached to a front-line production scene and teaching reality, and a core technical guarantee is provided for research and development of high-quality courseware.

The application provides a method and system for enhancing performance of a computing system under certain conditions, comprising the following steps: S1, performing restriction and enhancement requirement analysis according to the use environment of the computing system; S2, designing or modifying the VNX case and the blade according to the analysis result; S3, performing function performance, sixness and electromagnetic compatibility evaluation on the designed or modified computer; and S4, installing and updating software of the computer after the evaluation. The original blade in the case does not need to be plugged in when the original computing system is enhanced by the enhancement method, and the original computing system is not affected. The enhancement method is based on the VNX standard design, and compared with the method of adding the case of the same type of computer to the original case, the method can meet more stringent space and weight requirements, and can flexibly utilize some relatively irregular spaces.