47 results about "Specification document" patented technology

The invention provides a demand specification generation method and system based on multi-modal understanding, and relates to the field of artificial intelligence, and the method comprises the steps: carrying out the content understanding operation of data of each modal through employing a corresponding content extraction tool, so as to generate a demand representation document after multi-modal unification; establishing a demand knowledge base according to an existing template base and a corresponding rule base, matching and comparing the demand knowledge base with the demand representation document, checking the integrity of the demand representation document, and generating a question for seeking a decision; creating an overall framework of the standard document according to the standard standard template, and performing content filling on the overall framework according to the demand representation document and an answer to the question seeking the decision to generate the standard document; and collecting feedback information for the standard document, analyzing the feedback information by using a large language model, and converting the feedback information into executable modification suggestions for the standard document. According to the method, the automation degree, the integrity and the accuracy of demand specification generation are improved.

The invention provides an automatic software development system based on multi-agent cooperation, and the system comprises a demand analysis agent which is used for receiving a natural language demand input by a shared working area, generating a demand specification document containing an acceptance standard based on the natural language demand, and sending the demand specification document to the shared working area; the detailed design agent is used for receiving a demand specification document input by the shared working area, performing system design based on the demand specification document, generating a design specification document and sending the design specification document to the shared working area; the project development agent is used for receiving a design specification document input by the shared working area, performing code development based on the design specification document, generating an executable code and sending the executable code to the shared working area; and the shared working area is used for storing and forwarding the natural language demand input by the user and the output of the demand analysis intelligent agent, the detailed design intelligent agent and the project development intelligent agent. The development efficiency can be improved, the labor cost is reduced, and the software quality is improved.

The invention relates to an agent generation method and system for enterprise process automation. The method comprises the following steps: S1, obtaining a standard specification document of an enterprise; s2, knowledge extraction and knowledge graph construction; s3, semantic analysis and intention discrimination; and S4, process reasoning and automatic execution. According to the method, full-link intellectualization from enterprise system document automatic analysis to business process closed-loop execution is realized, context sensing and dynamic adaptation capabilities are realized, multiple types of tasks are supported, the analysis fine granularity and cross-system cooperation efficiency of business process rules are effectively improved, and high universality and expandability are realized.

The invention provides a multi-agent collaborative supply chain bill system automatic development method and device, and the method comprises the steps: receiving a user demand document related to a to-be-developed supply chain bill system, and obtaining an enterprise specification document used for constraining development technical specifications; initializing a workflow arrangement module and a state data structure for automatically developing the supply chain bill system; wherein the workflow arrangement module comprises a directed graph, an intelligent agent is used as a node, and a circulation rule is used as an edge; and the intelligent agent processing module is used for enabling the intelligent agents to work serially and / or concurrently according to an execution path determined by the workflow arrangement module by taking the enterprise specification document as a constraint, analyzing the user demand document to obtain a design document, planning a development task according to the design document, generating review opinions by reviewing the planned development task, and sending the review opinions to the intelligent agents according to the review opinions. And generating a code file based on the design document, the development task and the review opinion, and compiling the code file to obtain an executable file related to the supply chain bill system.

This disclosure relates to method and system for facilitating legacy code transformation. The method includes receiving legacy code data and natural language document from one or more data sources. Each of the one or more data sources is one of an external data source or an internal data source. Further, the method includes generating a first natural language output based on the legacy code data through a first LLM, and a second natural language output based on the natural language document through a second LLM. Further, the method includes fine-tuning one of the first LLM or the second LLM based on the first natural language output and the second natural language output, through a third LLM. Further, the method includes generating a natural language specification document corresponding to the legacy code data based on the first natural language output and the second natural language output through the third LLM.

This invention discloses a method and system for generating real-time content in a specific domain based on AI technology, belonging to the field of artificial intelligence technology. The method includes the following steps: 1. Constructing a local material knowledge base RAG_src in the form of word vector storage using AI technology, whose materials include multimodal materials such as text, voice, audio / video, or H5; 2. Constructing a local domain knowledge classification knowledge base RAG_policy in the form of file storage using AI technology, whose content includes domain specification documents and technical classification documents categorized by domain knowledge and information; 3. Constructing PageIndex by combining a Large Language Model (LLM) with RAG_policy; 4. Receiving content generation requests from real-time software, calling RAG_src and PageIndex through LLM to generate real-time content that meets the requirements of the corresponding scenario; 5. Checking the generated content and outputting compliant content. This invention solves the problems of non-standard content generation, disconnection from relevant standards, low reuse rate of proprietary materials, and low retrieval efficiency in existing technologies, achieving accurate, efficient, and real-time content generation. It is adaptable to various scenarios such as real-time content generation, content compliance checking, and real-time domain assistance in specific domains. Application scenarios include, but are not limited to, oral practice and oral examinations according to teaching syllabi.

The invention discloses a platform product optimization and research and development process remodeling method based on AI drive, comprising the following steps: constructing a general MCP service: dynamically generating an OpenAPI standard document through API scanning registration; analyzing the user language and generating a visual chart or a text abstract; analyzing the natural language, and converting the structured data returned by the API into the visual chart or the text abstract for structural integration and feedback; and establishing a non-invasive AI enabling mechanism: intercepting and processing an API calling request, and providing an interaction component through front-end SDK embedding. Through cooperation of the MCP service and the WebAI assistant, low-invasion AI enabling of a traditional platform product is achieved, and the problems that API integration cost is high, task execution is fragmented and the like are solved. And in combination with a plug-in architecture, the platform can quickly expand the AI capability, and the research and development efficiency and the user experience are remarkably improved.

This invention provides an automated compiler testing method based on specification inference and loop consistency verification to address the problems of traditional compiler testing, which relies on differential testing, requires reference implementations, and cannot effectively test domain-specific compilers. The method first extracts a syntactic skeleton set and a detailed reference set from heterogeneous specification documents; it then uses a large language model to infer type-safe formal grammar rules through multi-agent collaboration; based on the inferred grammar, it generates semantically valid test cases using a seed-preserving abstract syntax tree-level mutation strategy; it executes a compile-decompile-recompile loop on the test cases and detects compiler defects through binary-centralized comparison and noise normalization. This invention achieves systematic automated testing of compilers in the absence of reference implementations and execution oracles, improving compiler reliability and system security.

The invention discloses a software engineering implementation method, and the method comprises the steps: business modeling: anchoring a demand source, and converting a business demand into a landing model; the software requirement specification specification is used for solidifying a requirement standard and forming a specification document based on the business modeling result; summary design: constructing a technical framework, joining demands and development, and macroscopically planning a system architecture; the framework is converted into an executable scheme, and coverage integration, implementation and development are achieved. According to the software engineering implementation process, a standardized'business modeling driving type 'specification is taken as a core, a five-level process model and a data model are used for constructing a business architecture core framework, full-link connection of'business demand-data logic-IT design-landing implementation' is broken through by means of a structured view, and complex processes / functions are deconstructed and split into micro-service interface-level granularity, micro-service interface-level granularity, micro-service interface-level granularity and micro-service interface-level granularity. Accurate correspondence and decoupling of the service component and the IT component are achieved, and finally efficient landing of the service architecture in the IT architecture is guaranteed.

The invention discloses an interface document generation method and device, a storage medium and a program product, and relates to the technical field of machine learning. Key metadata corresponding to the input and output tensor of the target model is adaptively extracted according to the type of the target model, and the data type of the key metadata is converted according to a mapping conversion rule of a pre-established model framework native data type and a service interface standard data type; and finally, according to the key metadata after data type conversion, generating an interface specification document of the target model. According to the method, the metadata of the to-be-deployed target model is automatically analyzed, and the native data type of the model framework is mapped and converted into the data type of the service interface standard, so that the interface specification document of the target model is further generated, the compiling output efficiency of the API document is high, errors are not easy to occur, the maintenance cost is remarkably reduced, and the development efficiency of the target model is improved. And synchronous updating of the document and the model version is ensured.

Mechanisms to transform a multimodal hardware specification document into register-transfer level (RTL) code by configuring a large language model into multiple agents to transform the hardware specification document into a structured implementation plan comprising a sequence of hardware functions, configuring the large language model to apply progressive coding and prompt optimization to sequentially transform the hardware functions into low-level program code through a plurality of progressively lower-level code generation stages, and transforming the low-level program code of the hardware functions into the RTL code through a code optimizer and high-level synthesis tool.

The embodiment of the invention relates to the technical field of document processing, and discloses a function specification document design method and device, electronic equipment and a storage medium. The method comprises the following steps: after a function model is debugged, decomposing a model structure and a logical relationship of the function model to determine a chapter structure of a function specification document; designing a cover template, and obtaining data source information of the functional model; compiling files corresponding to the cover template and the functional structure based on the data source information and the chapter structure; and compiling and generating a function specification document based on all files. According to the method and the device, the problems of low efficiency and high error rate of a mode of manually compiling the function specification document are at least solved, the compiling efficiency of the function specification document is favorably improved, and the design error risk is reduced.

The invention relates to a protocol fuzz test knowledge automatic construction method based on a large language model, and belongs to the technical field of network security testing. The method comprises the steps that a standard document of a target protocol is preprocessed, and a document fragment set with a document structure is output; constructing a basic protocol intermediate representation (IR) from the document fragment set by using a large language model; inputting the basic protocol IR and a fuzzy test task indication into a large language model together, and constructing a fuzzy test IR comprising a field semantic category, a normalized constraint description and a fuzzy test related strategy prompt; writing the fuzzy test IR into a protocol fuzzy test knowledge base, and establishing a hierarchical storage and index structure; when the fuzzy test engine executes the fuzzy test task, knowledge in the knowledge base is called to guide generation and variation of the test case set. By using the method provided by the invention, rapid adaptation and protocol perception fuzz testing of multiple protocols can be realized, and the automation degree and vulnerability discovery capability of the protocol fuzz testing are remarkably improved.

The invention provides a 5G O-RAN component automatic test method and system based on protocol perception. The method comprises the following steps: firstly, based on an O-RAN normative document protocol, extracting functional definition information, participating entities and communication interface information of a target component, and generating an expected signaling process in combination with a retrieval enhancement generation technology and a large language model; then, based on the communication test case in the expected signaling process, executing a communication test on the to-be-tested O-RAN component, and obtaining an actually executed standard communication process through network flow collection and protocol analysis; and finally, comparing and analyzing the standard communication process and an expected signaling process, and outputting test results including signaling sequence abnormity, message missing and message errors. According to the invention, automatic testing of the communication behavior of the O-RAN component is realized, manual intervention is reduced, the testing efficiency and accuracy are improved, the interoperability verification capability among multi-manufacturer components is enhanced, and the communication reliability and stability of a 5G O-RAN system are improved.

The invention discloses an industrial control protocol difference fuzzy test method and system based on protocol consistency verification. The method comprises the following steps: firstly, based on an official specification document of a target industrial control protocol, constructing a formalized baseline protocol finite-state machine, and generating a consistency verification sequence set covering protocol core logic; secondly, performing consistency testing on a plurality of tested protocol implementation entities, identifying and recording behavior deviation between each entity and the baseline model, and generating inconsistency judgment information; further, a differential fuzzy test case is constructed by utilizing the judgment information to generate an auxiliary vector, a targeted variation strategy is designed, and a final differential fuzzy test case set is generated and optimized; and finally, executing testing in parallel in an isolated virtualization environment, and automatically judging abnormal entities and vulnerability trigger points corresponding to the abnormal entities by performing vectorization processing and similarity analysis on response logs of the entities. According to the method, the problems of target fuzziness, low efficiency and high false alarm rate of an existing fuzzy test method are effectively solved, and the accuracy, the efficiency and the automation level of industrial control protocol security testing are remarkably improved.

The invention provides an intelligent auxiliary process document generation method and system based on a ring forging, and is applied to the technical field of data processing. Comprising the following steps: generating target product specification document information according to a product specification basic information form and a technical standard system library of a ring forging process of the ring forging piece; constructing a stock process database according to the stock process data of the ring forgings; basic data information of the ring forging in the stock process database is processed to obtain product features, material features, equipment features and target specification features, and then initial forging step parameters are determined; according to the four features and initial forging step parameters, ring forging input features are constructed and input to a defect detection model, and a ring forging classification result is obtained; and when the classification result of the ring forgings indicates that the ring forgings do not have defects, the initial forging step parameters serve as forging step parameter information, and then product process document information is generated in combination with the target product specification document information. And the compiling accuracy and efficiency of the process document information are improved.

The embodiment of the specification relates to a specification driven coding method and device, and the method comprises the following steps: in response to a change operation of a user on a specification document, determining change content in the specification document; according to the change content, updating a corresponding specification graph, and determining a plurality of changed change requirement nodes; the specification graph contains a plurality of types of nodes, and corresponds to the semantics of the specification document; according to any first change requirement node, determining a plurality of first recall nodes with a high ranking relevance in the updated specification graph; according to the first change requirement node and the plurality of first recall nodes, determining a first change context; inputting the first change context into a large language model to perform a first update on a current code library.

Apparatuses, systems, and methods for extracting structured specification requirements from specification documents associated with a device under test (DUT) can include generating one or more semantic units based on DUT specification documentation and performing a structured large language model (LLM) call to generate test requirements for the DUT based on the generated one or more semantic units and an entity extraction task. The entity extraction task can be defined via a system prompt command that is responsive to presenting an end user with a system prompt for the entity extraction task. The one or more semantic units can be generated via portioning of DUT specification documentation.

The invention discloses a code generation method and device, equipment and a storage medium. The method comprises the steps that at least one target natural language instruction matched with original natural language description input by a user is acquired from an industrial semantic library; generating a PLC code file according to the PLC code sample, the logic label and the standard document associated with the at least one target natural language instruction; and converting the PLC code file into a PLC image. PLC code samples, logic tags and standard documents associated with various different natural language instructions are stored through an industrial semantic library, so that the reliability of basic data is ensured, human errors are reduced, and therefore, basic support is provided for original natural language description input by a user by using the industrial semantic library; according to the method, a natural language is accurately converted into a compliance code based on semantic-logic mapping, the generated code is converted into a PLC image, millisecond-level downloading is achieved, automatic starting and running are achieved, a complete technical link is formed, manual programming and debugging time is saved, and code development efficiency and code quality are remarkably improved.

The invention discloses an evaluation double-layer directory construction method and system based on an electric power AI application scene. The method comprises the steps of obtaining a business specification document; the business specification document is analyzed to obtain core elements, and the core elements comprise business scenes, observation objects and attributes of the observation objects; constructing a multi-level nested structure based on the core elements to obtain a preliminary double-layer directory; reviewing and adjusting the initial double-layer catalogue to obtain an adjusted double-layer catalogue; verifying and perfecting the adjusted double-layer catalogue by using historical business data to obtain a corrected double-layer catalogue; and finally auditing the corrected double-layer catalogue to obtain an evaluated double-layer catalogue. By implementing the method provided by the invention, three major problems of fuzzy structure hierarchical relationship, lack of business and technical team collaborative semantic framework and high construction cost of the traditional knowledge graph in vertical business scene application can be solved, so that efficient and low-cost knowledge graph construction which is closely combined with business logic is realized.

Apparatuses, systems, and methods for extracting structured specification requirements from specification documents associated with a device under test (DUT) can include generating one or more semantic units based on DUT specification documentation and performing a structured large language model (LLM) call to generate test requirements for the DUT based on the generated one or more semantic units and an entity extraction task. The entity extraction task can be defined via a system prompt command that is responsive to presenting an end user with a system prompt for the entity extraction task. The one or more semantic units can be generated via portioning of DUT specification documentation.

A method or system for processing a specification document associated with a circuit design to identify design requirements. The method includes receiving a specification document associated with a circuit design, and processing the specification document to identify at least one of a text component, a table component, or a finite state machine (FSM). After that, the text component is parsed by a first parser to identify a first set of design requirements. The table component is parsed by a second parser to identify a second set of design requirements. The FSM component is parsed by a third parser to identify a third set of design requirements. The identified first, second, and / or third set of design requirements are then provided for display to a user for review.

The invention discloses a document analysis and maintenance system and method based on a large model and semantic understanding, and the system comprises the following modules: a data access module which accesses a QMS system, obtains a standard field set needing to be matched at present, and accesses a multi-modal specification document uploaded by a user; the specification standardization module is used for uniformly carrying out structured processing on the specifications; the semantic mapping maintenance module is used for storing a mapping rule of a QMS standard field and a synonym set of the QMS standard field; the specification information extraction module is used for performing structured information extraction on the specification subjected to structured processing by utilizing a large model; the algorithm verification module is used for performing semantic matching verification and specification value standardization calculation on the extraction result; and the user auditing interaction module is used for providing man-machine collaborative auditing and optimization feedback for the user. According to the invention, end-to-end automatic processing from a heterogeneous specification to QMS system structured data can be realized through cooperative work of six functional units. Each unit is clear in responsibility, and decoupling design is achieved.

The invention provides a card making data processing software development and management system based on artificial intelligence, which comprises a demand management module, a software project management module, a development auxiliary module, a test data and use case management module and a full life cycle management module, the development auxiliary module is used for receiving the key points transmitted by the software project management module and performing code generation, annotation and fragment labeling by using LLM; meanwhile, through a built-in knowledge base self-iteration mechanism, dynamically updating a code knowledge base according to a code generation and optimization process; the test data and case management module generates large-batch test data and test cases through LLM and a dynamic card making data rule base based on small-batch card making data and description documents thereof provided by customer demands, and executes an automatic test process. According to the method, the development efficiency of the card making data processing software can be effectively improved, the coverage rate and effectiveness of software testing are improved, the software maintenance and management cost is reduced, and the risk caused by pure manual development is reduced.

The application relates to a system for automatically generating web front-end code from a natural language description document, and relates to the field of computer code automatic generation, and comprises a data input unit, a structured logic generation unit, a sub-logic generation unit, a component type calculation unit, a structured component tree generation unit and a web page rendering unit. The application can automatically analyze and extract a natural language to generate the code of the web front end, greatly improves the development efficiency, and has good application in insurance products.

We provide the system. [Solution] A means for users to upload government bidding specifications, A means for analyzing the contents of the uploaded specification document and extracting functional requirements and conditions, A means of searching for product information based on extracted requirements and listing products that meet those requirements, A means of providing users with a list of potential products, A system that includes this.

The application provides a technical specification database construction method based on a context-aware specification parsing algorithm, which comprises the following steps: obtaining a standardized technical specification document; inputting the standardized technical specification document into a Transformer model to enable the model to perform perception extraction processing on the standardized technical specification document based on the context-aware specification parsing algorithm to generate a plurality of entity data corresponding thereto; performing deduplication conversion processing on each entity data, taking each entity data after the deduplication conversion processing as a node, taking a preset core relationship between each entity data as an edge, generating or updating a corresponding knowledge graph, and storing the knowledge graph in a preset technical specification database. The application can realize automatic parsing of specification documents, reduce manual workload, improve data consistency and maintainability, avoid specification execution deviation caused by context understanding errors, and improve the intelligent level of specification management.

The application discloses a method and system for detecting access control vulnerabilities based on consistency between documents and codes, and belongs to the technical field of computer program detection. The method comprises the following steps: analyzing an access control specification document of a target system to generate an access control rule set; constructing a permission execution graph according to permission elements in source code of the target system; and performing consistency detection based on the access control rule set and the permission execution graph to obtain an access control vulnerability detection result of the target system. The application can effectively find access control vulnerabilities at the platform source code level without relying on pre-defined vulnerability patterns.

This specification provides one or more embodiments of a method and apparatus for generating development resources. The method first obtains a first specification document of a target interface. Then, based on a unified data source model, the first specification document is converted into a first data source file, wherein the unified data source model is a data structure specification used to define the interface. Finally, in response to receiving a binding instruction between a front-end project and the first data source file, development resources are generated based on the first data source file, wherein the development resources are resources needed during the front-end project development process.

This invention belongs to the field of network security and software testing technology, and provides a method and system for HTTP protocol differential fuzzing testing based on a large language model. The technical solution reads and preprocesses RFC specification documents. Based on constructed prompts, it guides the large language model to extract HTTP request templates and HTTP field dependencies from the preprocessed RFC specification documents. Based on the acquired malicious payload and the extracted HTTP request template, it guides the large language model to generate initial test cases. The extracted HTTP field dependencies are used to mutate the initial test cases, and the mutated test cases are concurrently sent to multiple different HTTP servers to perform differential fuzzing and obtain differential fuzzing response results. The responses from all servers are received, and the differential fuzzing response results are analyzed in conjunction with the large language model to obtain differential response analysis results and generate new test cases. This solves the problems of low semantic quality of test cases and blind mutation strategies in traditional HTTP fuzzing.