67 results about "Component (UML)" patented technology

The invention discloses an industrial MBSE model generation and evaluation method based on a large language model, and the method comprises the steps: collecting and sorting an aerodynamic model, assembly design rules and related basic design parameters, and carrying out the formatted expression of the rules applied in MBSE, so as to form a special enhanced knowledge base in the industrial field; the method comprises the following steps: converting a demand described by a natural language of a user into a standard MBSE model code based on a large language model through a cue word engineering technology, selecting an optimization algorithm and a simulation algorithm through a function call technology, performing real-time optimization on the model according to a design target, and applying the generated MBSE model to propulsion device design and verification test. And determining availability and model consistency. Reconstruction and acceleration of digital design are realized through automatic configuration based on requirements and components. The method has remarkable advantages in the aspects of reliability, effectiveness and adaptability.

A software package is received and unpacked into multiple components comprising plural functions. Each function is lifted from machine code into static single-assignment intermediate representation and tokenized to produce semantics-preserving embeddings. Intermediate-representation data-flow features are extracted, including detection of constant static variables on a stack, stack reaching definitions, uninitialized variables, and intra-procedural aliases. For each component, the embeddings and features are input to a machine-learning model trained on semantic properties derived from a corpus of software packages to generate a software supply chain risk level. Data characterizing the risk level is provided to a consuming application. When the risk level satisfies a remediation criterion, a remediation action is initiated, including generation of a source-code patch recommendation for an identified root-cause function, insertion of a runtime guard into the component, or issuance of a security advisory for distribution to a security operations dashboard.

The invention discloses a large language model LLM-based hierarchical workflow automatic generation method. The method comprises the following steps: firstly, processing natural language task description input by a user through a pre-trained large language model to obtain a structured task component; then, related workflow modes and optimal practices are retrieved from a pre-constructed domain knowledge base based on the structured task component, and the workflow modes and the optimal practices are fused to form knowledge-enhanced workflow description; based on the knowledge-enhanced workflow description, automatically converting the knowledge-enhanced workflow description into a standardized directed acyclic graph (DAG) through the steps of node extraction, type classification, dependency analysis, structure verification and the like; and finally, performing quality evaluation and iterative optimization on the generated DAG, and finally realizing end-to-end automatic generation from a natural language to an executable workflow. The technical problems that an existing workflow generation method based on template matching seriously depends on a preset template, is insufficient in flexibility and is difficult to adapt to complex and changeable user requirements can be solved.

The embodiment of the invention discloses a front-end page building method and a related product. The method comprises the steps of extracting multi-modal features of a target design draft through an identification model, and identifying component attributes of components in the target design draft and a hierarchical relationship between the components based on the multi-modal features; converting the target design draft into a first code of a first programming language based on the component attributes of the components and the hierarchical relationship between the components; based on the mapping relation between the first programming language and a second programming language supported by a low-code platform, the first code is converted into a second code of the second programming language, and the second code is used for generating a page corresponding to the target design draft in the low-code platform. Therefore, end-to-end automatic conversion from the design draft to the codes supported by the low-code platform can be realized, so that the low-code platform can reuse the design draft, and the page development efficiency is improved.

The invention discloses a multi-language PLC configuration software component library expansion method and system based on LLVM, and relates to the technical field of configuration software, the method comprises the following steps: obtaining language source codes of various types of programming languages supporting the LLVM front end; inputting the language source code of each type of programming language into a corresponding LLVM front-end compiler, and converting the language source code into a standard intermediate representation; establishing a general language characteristic analysis framework; establishing a general abstract metadata injection framework; building a mapping rule framework; integrating the general language framework, the general abstract metadata injection framework, the mapping rule framework and the output result, and generating a unified extended intermediate representation; and generating an interface component library conforming to the IEC standard. According to the method, any programming language with an LLVM front end is supported, a developer can directly utilize a mature algorithm library in each language ecosystem to select the programming language most suitable for a specific application scene, and the development period is remarkably shortened.

The invention provides a software bill of material analysis method, which comprises the following steps: S1, selecting a software project to be evaluated, and ensuring that a code library of the software project is complete and accessible; s2, scanning the code library and the dependency relationship by adopting an analysis tool, and generating a software component report; s3, identifying a three-party service used in the software project according to the information obtained by scanning the code library and the dependency relationship; s4, according to all the content of the code library obtained through scanning and in combination with the recognized three-party service, self-research codes are accurately distinguished, and the code self-research rate is calculated; and S5, identifying key elements, structures, defects or security vulnerabilities of the codes, comparing the key elements, the structures, the defects or the security vulnerabilities with known correct results or expected results for analysis, and judging the quality of the self-research codes. According to the method, bill of material analysis can be comprehensively and accurately carried out on software projects, self-research codes are clearly defined, three-party services are effectively identified, and code quality is accurately evaluated.

In an example embodiment, a framework is provided to allow an LLM to regenerate an intermediate representation based on natural language feedback that is provided on the compilable computer code that was generated using the programmatic component from an earlier intermediate representation. The user is able to provide this feedback without having any knowledge of the intermediate representation and the framework is designed to allow the LLM to incorporate this feedback into future generation requests without the LLM being aware of the compilable computer code that was created from its prior iterations.

The invention discloses an open source component analysis method based on a static program, and relates to the technical field of software analysis. Project source codes are input and analyzed, a semantic calling graph is obtained, and hierarchical management is conducted on the semantic calling graph; carrying out topological sorting on the layered semantic calling atlas to obtain a component check sequence; and comparing the semantic call maps corresponding to the new version and the old version of the to-be-upgraded component, performing software detection operation on the to-be-upgraded component, and outputting a conflict report. According to the method, a layered semantic calling graph is constructed and contains rich context information, so that analysis can go deep into the level of whether behaviors and semantics of the method are changed or not, topological sorting is carried out on component dependency relationships, a component checking sequence is provided, the problem that a conflict is repaired in reality is solved, and the method is more practical. By means of the method, it is guaranteed that before any component is checked, all the components on which the component depends are analyzed and confirmed, and orderliness and certainty of the analysis process are guaranteed.

The invention provides a CAE modeling and grid dividing method and system based on natural language driving, and the method comprises the steps: constructing a triple language model, defining an action-object-adversity triple structure, receiving a natural language instruction, carrying out the standardization processing of the instruction, recognizing and extracting the action, object and adversity components in the instruction, and carrying out the recognition and extraction of the action, object and adversity components in the instruction. The missing necessary parameters are prompted and complemented; based on a predefined analysis rule, extracting a triple conforming to the triple structure from the processed instruction; mapping the triad passing the verification into a corresponding CAE operation instruction through a mapping rule base, and generating an instruction sequence according to a logic sequence of a CAE modeling process; and automatically executing the instruction sequence, completing CAE modeling and grid division operations, and finally outputting a CAE model file. According to the method, the user operation complexity and the professional threshold are remarkably reduced, the modeling efficiency and the model quality are improved, an efficient and intelligent auxiliary tool is provided for engineering design, and the wide application value is achieved.

Disclosed are an ontology-based multi-programming language component specifications and workflow system and a use method. A multi-language programming component manager is connected with a multi-language programming component workflow design modeler and a multi-programming language transformation engine. A core workflow engine is connected with the multi-language programming component workflow design modeler and the multi-programming language transformation engine. An ontology that supports normalized management of multi-programming language transformation and components is designed to standardize the definition of core components, support multi-programming language data conversion communication and component management, support custom design creation, flexible expansion and result interaction of multi-class workflow components, make full use of advantages of various programming languages, and reduce technical difficulties in the applicability of components developed in various programming languages; while achieving the maximum use of multi-programming languages to achieve the effect of “1+1>2”.

The invention provides a low-code application development method and platform, electronic equipment and a storage medium, in the low-code application development method, natural language data is utilized to train a meta-language programming model, and a low-code application development request submitted by adopting a natural language is responded through the meta-language programming model, so that the low-code application development efficiency is improved. Carrying out meta-language feature extraction processing on the low-code application development request to obtain a field specification language code described by adopting a meta-language, and extracting a functional component and / or a business component matched with the field specification language code from a code component library, or extracting a functional component and / or a business component matched with the field specification language code from a code component library; according to the method, functional components and / or business components matched with the domain specification language codes are extracted from a code component library, corresponding application software is generated through splicing, the extracted content is displayed in a visual mode, the function of quickly and accurately generating low-code applications through natural language description requirements is achieved, operation is easy, application is convenient, and the method is suitable for popularization and application. According to the method, the development efficiency is improved, particularly, the skill requirement for the programming technology of a user is reduced, and the method has wider applicability.

The invention discloses an interactive front-end generation method and system based on API specifications and multiple intelligent experience certificates, and belongs to the field of front-end software development automation. A double-stage intelligent generation framework is adopted, natural language query and back-end API specifications of a user are received, an optimal retrieval stage and an iteration generation stage are executed in sequence, and a code version with the highest comprehensive score is selected from iteration history to serve as a generated interactive front-end prototype code. Wherein in the retrieval stage, related UI components, icons and general layout structures are accurately retrieved to provide a high-quality context; a closed-loop optimization process dominated by an encoder and coordinated by multiple agents is started in iteration generation, the code quality is verified in a multi-dimensional mode, and the encoder agents are driven to conduct multi-round iteration correction on the code according to the verification result. And finally, the prototype code preferentially output can perform real data interaction with a back-end API, and can be used as a Demo or a starting point for rapid development, so that the front-end development efficiency is remarkably improved.

The invention relates to a template-based AADL platform irrelevant code generation method, and belongs to the field of automatic code generation. According to the method, an analyzer reads an AADL model and extracts model elements described in the AADL model, the model elements comprise system architecture, component information, inter-component connection and related attributes, and necessary data support is provided for subsequent mapping steps; defining a mapping relation between the AADL model and the platform-independent abstraction layer according to structures and requirements of the AADL model and the platform-independent abstraction layer; the method specifically comprises the steps that component types, connection relations and related attributes involved in the AADL model are matched with corresponding elements in an abstraction layer, so that it is ensured that the abstraction layer can completely describe the function and structure of the AADL model; according to the mapping rule formulated in the second step, the analyzed AADL model elements are converted into corresponding elements in the abstraction layer one by one, and abstraction layer template codes irrelevant to a platform are generated. According to the invention, the expansibility and flexibility of code generation are improved.

Disclosed in the present disclosure are an interface document generation method, apparatus and device, and a storage medium. The method comprises: in the process of generating an interface document, first acquiring a target application code in target project engineering in the process of generating an interface document, wherein the target project engineering is project engineering to be referenced by a preset file, thereby enabling an interface document generation apparatus to reversely reference a project to be developed or tested and to package said project, rather than the project to be developed referencing a component package, and except for writing interface annotation information according to regulations, the target application code does not need to be modified; and after the target application code is packaged, scanning the target application code, so as to obtain parameter annotation information containing interface information, and generating an interface document on the basis of the parameter annotation information. By means of using the embodiments of the present disclosure, there is no need to use standard special swagger annotations, which is completely non-invasive to a program, and there is no need to introduce swagger components into project engineering, and the swagger components do not persist throughout the entire life cycle of software development, thereby improving the system security.

Disclosed herein are systems, apparatuses, and methods for configuring and using one or more modular software libraries for use with large language models (LLMs) for automatically generating code from one or more user task queries. The systems, apparatuses, and methods compare a user's task query to generate code for a task with only headers of docstring. After identifying potentially relevant code from the most closely matching headers, the systems, apparatuses, and methods combine the user's task query with the identified docstring bodies as a prompt to one or more LLMs to converge upon software modules, functions, classes, and / or submodules (e.g., software code components) that contain relevant code. The systems, apparatuses, and methods then generate code responsive to the user's task query from the selected modules, functions, classes, and submodules.

The invention relates to a model verification method suitable for RUCM4CPS, and belongs to the field of embedded system modeling. Comprising the following steps: extracting model components and attribute information of each component according to a model description file of RUCM4CPS to obtain a component attribute information mapping table; determining constraint conditions according to modeling requirements of the complex embedded system, and obtaining RUCM4CPS model verification rules based on the constraint conditions and attribute information of the components; according to the component modeling sequence, verifying all the components in sequence by using a verification rule; when each component is verified, a verification item corresponding to the component is obtained, attribute information corresponding to the component is obtained from the component attribute information mapping table, whether the attribute information meets the verification item or not is judged, and if the attribute information does not meet the verification item, a prompt is given. According to the method, the attribute of each component is verified according to the modeling sequence of the complex embedded system, and the problems that the current model verification is incomplete, the orderliness is poor, and the verification result lacks logicality are solved.

The invention relates to the technical field of data enhancement and system engineering, in particular to a user behavior data enhancement method of a large language model based on RFLP driving. Comprising the steps of determining a core driving problem and an expected application scene of to-be-generated user behavior data, determining a task target, a data structure requirement, a data characteristic requirement, a constraint condition and a non-functional requirement of a large language model data generation system based on RFLP driving according to the core driving problem and the expected application scene, and encoding the requirement specifications into a plurality of functional modules; and forming a data generation function set according to the modules, constructing a logic scheme based on'strategy-component-combination 'for the system based on the function set, converting the logic scheme into an executable scheme, finally controlling the large language model to execute the executable scheme, and generating to-be-generated user behavior data. Therefore, the problem that the cue word is difficult to ensure the quality and consistency of the generated data is solved, and a scientific methodological support is provided for constructing a high-quality, controllable and extensible synthetic user data generation system.

Described herein are systems utilizing a DevSecOps model comprising a CI / CD template, framework interfacing with a CI / CD pipeline that can integrate the assemblage of software components that collectively automate the building, testing, and delivery of applications within various hosting environments. Also described herein are methods utilizing the aforementioned systems.

The application relates to the technical field of model configuration, in particular to a software architecture framework configuration and generation method based on UML meta-model extension technology. The application proposes the following scheme: a UML activity diagram is constructed to depict function execution flow, and UML interaction constraint conditions containing time sequence, concurrency, branching and interface constraint are generated from the activity diagram; under the constraint of the interaction constraint, a UML component meta-class is extended, meta-attributes such as framework semantic type, running environment and generation configuration are introduced, and an initial software architecture framework model is constructed; in combination with a component knowledge graph library, an outwardly-biased distribution strategy is adopted to distribute activity nodes to reusable components or newly-built components, and a software architecture framework meeting interaction consistency and generation constraint is generated. The application can improve the traceability, reuse stability and engineering generability of architecture configuration.

The application discloses a kind of incremental semantic analysis integrated development environment systems for SystemVerilog hardware design language, comprising: workspace discovery component, for automatically identifying project list and constructing project boundary;Virtual file system component, for maintaining source path and file identification mapping and tracking file status;Incremental semantic database component, for performing local failure and incremental recalculation after source code changes;Semantic capability component, for providing completion, jump, reference, renaming, semantic highlighting, formatting and other capabilities;Protocol scheduling component, for unified scheduling and returning results to requests, notifications, background tasks.The application can perform real-time semantic processing on Verilog / SystemVerilog code in a continuous editing scenario, reduce the delay caused by full recalculation, and improve hardware design and development efficiency.

The invention relates to the technical field of building information models, in particular to a design collaborative modification method and system based on semantic packaging and BCF file transfer, and aims to convert a fuzzy natural language instruction into structured design modification semantics and transfer the design modification semantics through a BCF file, reduce communication cost and misunderstanding and ensure that the instruction is accurately understood; after approval is passed, the system can automatically execute model modification, low efficiency and error-prone performance of manual operation are avoided, and the advantages are more obvious especially for modification involving a large number of components or complex associations; by updating a BCF file and generating an XML log, information such as modification is completely recorded, and quality tracing, problem review and knowledge accumulation are facilitated; standardized semantics and BCF files provide common language and communication basis for designers with different professional backgrounds, and the cross-professional coordination process is simplified; and specific modification execution is automatically completed by the system, so that the dependence of common designers on complex BIM software operation commands is reduced.

The present application relates to a kind of Sketch file analysis and layout conversion method, by structure mapping, style and layout adaptation, layout conversion, reshape element hierarchy, realize the conversion of Sketch file to structured JSON description file.Solve the conversion bottleneck of Sketch design file to low-code platform development, greatly improve the development efficiency and design draft restoration quality, also reserve space for future technology iteration.All algorithm parameters in the present application can be adjusted, with more hatching times, conversion restoration degree will be constantly improved.The conversion result is more in line with programmer thinking, realizes the automatic delivery link, eliminates the design-development fault in traditional development process.Structured data mapping, visual layer is directly mapped to business layer component, greatly reduces the workload of artificial configuration.Expected product iteration cycle is shortened by 40%, greatly improves the development efficiency.Reduce the communication cost between design and development, improve team collaboration efficiency.It has the ability to generate DSL across different development platforms, only need to adapt the mapping protocol of target platform.

The invention discloses a software architecture model correctness verification method oriented to a synchronous reaction type component, and relates to the technical field of model verification, in the method, a source model in an XML format is analyzed by means of a Dom4j package, and model nodes, migration and global variable information are extracted, classified and stored. Then, a mapping rule from a software architecture model to PROMELA codes is designed, and conversion of a model structure, data and various elements is covered; security and activity verification attributes are defined by using an SPIN tool, and the branch accessibility of the control node is judged through a control variable and assertion. From the starting node, the model elements are sequentially converted into variables, channels and processes of PROMELA. And finally, generating a verification script, performing grammar check and attribute verification on the converted model, analyzing a verification report to obtain a result, and repeating operation if other attributes need to be verified. The method provides a systematic and effective means for ensuring the correctness of the software architecture model.

Disclosed are an ontology-based multi-programming language component specifications and workflow system and a use method. A multi-language programming component manager is connected with a multi-language programming component workflow design modeler and a multi-programming language transformation engine. A core workflow engine is connected with the multi-language programming component workflow design modeler and the multi-programming language transformation engine. An ontology that supports normalized management of multi-programming language transformation and components is designed to standardize the definition of core components, support multi-programming language data conversion communication and component management, support custom design creation, flexible expansion and result interaction of multi-class workflow components, make full use of advantages of various programming languages, and reduce technical difficulties in the applicability of components developed in various programming languages; while achieving the maximum use of multi-programming languages to achieve the effect of “1+1>2”.

The application discloses a code automatic generation method based on a SysML model, belongs to the technical field of computers, and comprises the following steps: 1, according to the SysML specification, performing multi-level model checking on the established SysML model, and ensuring that the SysML model is legal and effective; 2, performing conversion and analysis on the SysML model according to the established model content file and in combination with various views in the model; 3, performing component definition and management; 4, constructing a standardized code mapping template; and 5, performing hierarchical code automatic generation to generate final target language code. The application can unify and cooperate the MBSE and MDA methods, provides a specific means for the realization of the SysML model, effectively reduces the model design and development difficulty, improves the design and development capability of the SysML model in the MBSE method, and guarantees the efficiency and quality of the system model development and realization.

This invention discloses a Modelica modeling method, apparatus, electronic device, and product based on a Python model library. This invention utilizes the Sysplorer modeling tool's ability to support simultaneous modeling with Modelica and Python files, enabling joint modeling of Modelica and Python based on Sysplorer. Specifically, during modeling, the PythonInterface model library is first imported into the Sysplorer modeling tool, and then a Sysplorer model is generated. Next, using the imported PythonInterface model library, a Python instantiation component of the Sysplorer model is generated, allowing the calling of Python files. Then, based on the called Python file, Modelica text information of the Sysplorer model is generated. Finally, the Modelica model can be constructed based on this. Thus, this invention allows direct modeling using Python files within the Modelica environment, transforming the entire process from manual to automated. This not only reduces the workload of model developers but also improves modeling efficiency.

The invention belongs to the technical field of computer software products, and discloses a system for converting a rule into a Python language, which comprises an API (Application Program Interface) module and a conversion component, the API module is used for receiving a rule input by a user and forwarding the rule to the forwarding component; and the conversion component receives the rule input by the user and forwarded by the API module, and realizes conversion of the rule into the Python language. Based on an Antlr4 tool, lexical and grammatical analysis programs needed by a language compiler can be automatically generated only by configuring lexical and grammatical rules, the programming workload of programmers is greatly reduced, meanwhile, in combination with working requirements, self-defined lexical and grammar can be added, the whole conversion method is strengthened, and the conversion efficiency is improved. And mutual conversion of codes of various common languages and custom languages is realized.

The invention provides an adaptive migration feasibility evaluation method and device, equipment and a storage medium, and the adaptive migration feasibility evaluation method comprises the steps: determining a to-be-migrated target environment of a software system, and determining a migration target of the software system, the migration target comprises at least one of a dependency library and a component, the migration target is subjected to architecture layering processing of a software system, adaptive migration objects corresponding to the migration target in a plurality of hierarchies are obtained, adaptive information of the adaptive migration objects is determined, and the adaptive information comprises adaptive environment information, a development language and an open source condition; according to the target environment, the adaptive environment information, the development language and the open source condition, the feasibility evaluation of the adaptive migration is carried out to obtain a feasibility evaluation result, manual analysis is not needed, the feasibility evaluation of the adaptive migration is automatically carried out based on architecture layering of a software system and the adaptive information of the adaptive migration object in combination with the target environment, and the feasibility evaluation result is obtained. And the feasibility evaluation result with higher accuracy can be quickly and effectively determined.

The invention discloses an industrial software component classification method and system based on proxy labels and knowledge distillation. Ontology-guided text preprocessing is realized by constructing an industrial field term library, and manual annotation dependence is remarkably reduced in combination with a double-source proxy tag generation mechanism (teacher model weak tags and large model supervision data); a knowledge distillation framework of hierarchical semantic constraints is designed, knowledge of a complex teacher model is migrated to a lightweight student model, and real-time reasoning requirements are met while high classification precision is kept; a multi-task graph structure constraint and dynamic weight adjustment mechanism is creatively fused, and the adaptability of the model to industrial component short texts, multi-language mixed description and newly-added component types is effectively improved. According to the technical scheme, the low-code platform component management efficiency is remarkably optimized, domain knowledge fusion is enhanced, and core support is provided for industrial software intelligence.

The invention provides an AI-driven supply chain software automatic code generation method, relates to the technical field of supply chain software development, and solves the problems that the current supply chain software development efficiency is low, the manual adjustment cost is high and cross-system integration is difficult. The method comprises the following steps: firstly, acquiring a component template library, wherein a front-end component template and a background interface code template which are packaged by adopting a fixed structure and configurable parameters are stored in the component template library; further acquiring a configuration description file, analyzing configuration parameters, retrieving the component template, injecting the configuration parameters into a configurable parameter position of the component template, and splicing according to a project directory specification to generate a basic code prototype of the supply chain software; and finally, analyzing the service context information of the supply chain by using an AI agent, generating a service logic code, and embedding the service logic code into the basic code prototype to obtain a target code of the supply chain software. According to the method, full-process efficient support from a first edition framework to business logic landing can be provided for supply chain software related to ERP, WMS and MAS.