20 results about "Requirements management" patented technology

The invention relates to the field of test case generation, in particular to an AI intelligent test case generation system and method.The AI intelligent test case generation system comprises a demand registration module, a data connection module, a knowledge base module, an AI generation module and a case export module, and all the modules work cooperatively. Product demand input and acquisition, historical demand data storage and retrieval, and test case set generation and export are realized; the invention further comprises an AI intelligent test case generation method suitable for the system. The AI intelligent test case generation method comprises the steps of inputting a unique identifier, obtaining demand content, retrieving an associated scene, analyzing interaction logic, generating a test case set, exporting the case set and the like. According to the method and the device, the effects of efficiently and accurately generating the test case set containing the single-module case and the cross-module closed-loop case, automatically adapting to the format of the target demand management platform and improving the test case generation quality and efficiency are achieved.

Systems and methods are directed toward managing demand, such as for manufacturing in complex supply and / or demand driven environments, including aerospace-industry products and systems, environments with a multitude of stakeholders, and other sophisticated organizations. A production request may be provided with a component identifier for a top-level module component to be produced. Data associated with the component identifier may be determined. The data may include one or more additional component identifiers for sub-components which are to be consumed to produce the top-level module component. Supply allocations for the top-level module component and the sub-components may be generated based at least in part on the data. One or more action signals may be provided to fulfill the production request for the top-level module component according to the supply allocations.

The embodiment of the invention provides a demand management method and platform of a demand management platform based on multi-team cooperation, and relates to the technical field of demand management. The method comprises the following steps: receiving a business demand issued by an owner; in response to a request of a demand specialist, establishing a version task corresponding to the business demand, and associating the version task with a demand management platform of a master traction party and a collaborative party corresponding to the version task; receiving the technical scheme, the workload and the test key points uploaded by the main traction party and the collaborative party; and storing all the received files, wherein the stored files are consulted by the owner, the demand specialist, the main traction party and the collaboration party. The method is used for solving the problem that existing demand management cannot meet multi-team implementation.

This disclosure provides a method and apparatus for requirements decomposition, relating to the field of computer technology, and particularly to the fields of large-scale model applications and software project requirements management. One specific implementation of the method includes: obtaining the original requirements of a target project and the corresponding target product function list; decomposing the original requirements to a preset level, generating preset level decomposition suggestions, and matching them with the preset levels of the target product function list to generate preset level product function matching suggestions; based on the original requirements, searching a preset risk database to generate risk warnings; based on the preset level decomposition suggestions, preset level product function matching suggestions, and risk warnings, generating a requirements matching scheme; in response to determining that the target project passes the requirements matching scheme, decomposing the preset level decomposition suggestions to a final level, generating final level decomposition suggestions, and matching them with the final levels of the target product function list to generate final level product function matching suggestions.

A comprehensive safety analysis system and method integrating FTA and FMEA is disclosed. The system includes an input module, a functional safety requirements management module, an FTA analysis module, a functional failure mode management module, and an FMEA analysis module. The functional failure mode management module analyzes whether each functional safety requirement has a corresponding component and removes duplicate functional safety requirements. The functional failure mode management module analyzes whether each functional safety requirement corresponds to a specific functional failure mode; if not, it adds the corresponding functional failure mode. By combining FTA and FMEA safety analysis methods, it is possible to identify unconsidered functional safety requirements or add functional failure modes, leveraging the advantages of both FTA and FMEA for a comprehensive safety analysis.

The application discloses a one-stop intelligent software development system based on multiple agents, which comprises a one-stop DevOps research and development cooperation platform and a multiple-agent scheduling and cooperation engine. The multiple-agent scheduling and cooperation engine is connected with each sub-module in the one-stop DevOps research and development cooperation platform, including a demand management module, a code library management module, a document management module, a pipeline module, a product library module, a code scanning module, a test management module and a measurement management module. The multiple-agent scheduling and cooperation engine comprises a task analysis and distributor, a multi-role virtual employee intelligent agent pool, a large model calling adapter, a delivery material archiving and integration controller and an artificial confirmation node manager, realizes end-to-end automation from demand description to software delivery, and only needs to fill in a natural language demand description or a prompt word in a task card, so that the system can automatically drive a whole-process task such as prototype generation, code writing, test case generation and construction deployment, and the software delivery cycle is greatly shortened.

The software test maintenance system supporting real-time change detection provided by the invention comprises a demand management module, a UI design management module, a code management module and a test management module, and the demand management module generates a unique demand identifier and distributes the unique demand identifier to the UI design management module; the UI design management module generates a design file according to the demand identifier, analyzes UI elements and establishes association with the test case, the design file is distributed to the code management module for interface development after design file generation and metadata association are completed, the code management module creates a code file, and the code file is stored in the test case. And the test management module executes a test task on the code file based on the test case and records a test result, so that close association and real-time tracking among requirements, UI design, codes and the test case are realized, the change response speed and the test coverage rate are improved, the cross-team communication cost is reduced, and the test efficiency is improved. The risk of missed testing is effectively reduced; and the overall efficiency of software development and testing is improved.

This application relates to the field of project access control technology, and in particular to a method, system, device, and storage medium for generating a dynamic requirements management panel. The method includes: constructing a system-level access control index; performing project-level access control filtering on project data to obtain a set of accessible projects, and obtaining the workflow tree configured for each accessible project; parsing the configuration information of each workflow node in the workflow tree configured for the target project, determining the access control constraints corresponding to each workflow node, and aggregating and standardizing the configuration information into workflow rule objects; performing multi-dimensional access control convergence based on the system-level access control index, project-level access control filtering results, and access control constraints corresponding to each workflow node, determining the visible data boundaries of the logged-in user under the target project, and dynamically generating the requirements management panel corresponding to the logged-in user based on the visible data boundaries and workflow rule objects. This application can quickly adapt to dynamically changing business needs and reduce security risks caused by mismatches in information display scope.

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.

This invention discloses a system for collaborative generation of requirements analysis and test cases based on intelligent agents, relating to the field of software testing technology. The system includes: a requirements interaction and input module that supports uploading and format / content verification of multi-format natural language requirements documents, displays test-related visual results, supports real-time editing of test cases, can interface with external requirements management tools to synchronize document changes, and transmits verified document data to the intelligent requirements analysis module; the invention uses an equivalence class analysis submodule within the test case generation optimization module to divide valid and invalid equivalence classes according to preset principles and generate boundary value test points. It also dynamically generates an equivalence class table with detailed annotations through static code analysis technology, ensuring comprehensive test case coverage and clear objectives.

The present application provides a full life cycle demand intelligent analysis system and method, relates to the product life cycle management technical field, and the present application constructs a unified data set and extracts standardized demand characteristic parameters by acquiring multi-source demand data of each stage of the product life cycle; a demand evolution index is constructed to realize dynamic quantitative evaluation of the demand state, and a threshold value is determined to trigger a graded demand adjustment strategy; a design consistency index and a demand stability index are constructed to realize two-dimensional analysis of system consistency and stability, and a differentiated collaborative optimization strategy is triggered; a demand deviation propagation index is constructed to quantitatively analyze the deviation source and propagation path, and a closed-loop optimization control is realized in combination with a convergence determination mechanism. The present application can realize accurate identification and dynamic regulation and control of the demand evolution process, and improve the system operation stability and the intelligent level of demand management.

The invention discloses a software development work auxiliary system suitable for multi-person assistance, and the system comprises a demand management module which collects the demand feedback of a software user for software development, and carries out the analysis and arrangement of the demand feedback; the project generation module generates a software development project according to a project demand corresponding to software development, and performs distribution work of development tasks based on task division of a developer team and an organizational structure; the grouping management module is used for dividing task division independent of a developer team and a project development group outside an organization structure; the task tracking module tracks and records the development progress according to the distribution result; and the software test module performs software test and adjustment work according to the overall development progress of the project. Through the modular and automatic design concepts, the software development process is optimized, the development efficiency and the product quality are improved, the management cost and risk are reduced, and technical support and guarantee are provided for software development under the assistance of multiple persons.

The invention belongs to the field of document tool integration, and relates to an integration method and device of a demand modeling tool and a demand management system and a medium. Comprising a data interface standard, a data format requirement, a data transmission protocol, a data conversion rule and a data adaptation requirement meeting a demand scene; analyzing the modeling tool, analyzing an engineering file in the tool, performing data model mapping with a demand management system, and establishing a relationship between the model engineering and the demand management system; and importing data of a demand management system through an interface by using a demand modeling tool, and performing entries of data management. According to the method, a unified integration specification is provided, data of modeling tools are effectively mapped to the demand management system, received demand information is tracked, monitored and managed in the demand management system, the difficulty of transmission and sharing of the demand information among different tools is broken through, management of the demand information is effectively improved, and the demand management efficiency is improved. The efficiency and accuracy of demand management are greatly improved, and efficient integration and cooperative work are realized.

The application provides a requirement change tracking and management optimization method and system for agile development, relates to the technical field of agile development requirement management, and comprises the following steps: constructing a task dependency tracking graph and embedding a change influence path mode as a propagation weight correction factor, performing bidirectional path tracking on a change request to determine a set of affected tasks, identifying and quantifying resource conflicts, constructing a priority constraint graph based on task dependency depth and combining a resource conflict management list to establish resource allocation constraints, thereby generating a task reordering and resource reallocation scheme, and improving the tracking accuracy and management efficiency of requirement changes in an agile development environment.

The invention provides a research and development project management method based on authoritative data source linkage, and belongs to the technical field of data processing, a data linkage and verification engine obtains product information from an application registration center through a preset trigger condition, stores the product information in a product management module, and generates an authoritative product list; after a project is created through a project management module and a target product is selected from the authoritative product list, forced association between the project and the target product is established based on the unique identifier of the product; when a demand is created through the demand management module, the demand is forced to belong to a corresponding project; when a version is created through the version management module, the version is forced to be associated with the corresponding product and demand; and after version release is applied through the version management module, differential verification is executed according to a version release scene, and then the version is pushed to a related principal for manual approval. Therefore, data islands and information deviation are solved, and data consistency, auditing automation and process compliance are realized.

The invention discloses a software development demand management system and method, and belongs to the field of computers. The system comprises a demand acquisition module used for receiving demand information input by a user and generating structured demand data based on a preset software customer demand right template and a demand obligation book template; and the intelligent analysis engine is connected to the demand acquisition module and is used for performing multi-dimensional feature extraction on the structured demand data. According to the method, user input is guided through a structured template (right / obligation book), semantic ambiguity is analyzed in combination with a natural language processing technology, accurate alignment of demand description and a business target is ensured, and understanding deviation is reduced from the source. A bidirectional tracking mechanism of the demand verification module realizes dynamic association of demand entries and function design, and eliminates demand omission or realization deviation. The intelligent analysis engine predicts the demand change probability and the influence range based on a machine learning model, automatically marks the technical feasibility and conflict dependency relationship, and assists the team in quickly adjusting the priority.

The invention discloses an aero-engine demand quality analysis system and method based on demand quality data attributes. The system comprises an identification module, a parameter module, an analysis module and an interaction module. Wherein the identification module is used for acquiring a to-be-analyzed demand document from a demand management database according to a project demand document list; the parameter module is used for setting required demand quality indexes and corresponding demand quality data attributes according to quality analysis requirements. And the analysis module is used for analyzing the demand quality data in the demand document based on the set demand quality data attributes so as to obtain and output an aero-engine demand quality analysis result. And the interaction module is used for providing user interaction and information interaction ports among other modules.

The invention discloses an aircraft electromechanical system demand generation method based on a large language model. According to the method, an intelligent and systematized demand generation framework is provided by combining strong semantic understanding and generation capability of a large language model, and complete demand items and standard demand matrixes can be efficiently extracted and generated from complex system demands. The core technical scheme of the invention comprises standardized arrangement of demand data, demand understanding and generation based on a large language model, construction and management of a knowledge base and arrangement of intelligent workflow. The method has the characteristics of intelligent generation, normalization and accuracy, multi-scene adaptability, sustainable optimization and the like. The method can be widely applied to the field of airplane electromechanical system design, and is particularly suitable for architecture design and demand management of a complex system. The intelligent demand generation framework can also be popularized to complex system design in the fields of aviation, spaceflight, ships and the like, and technical support is provided for system engineering design of multiple industries.

This invention relates to the field of autonomous driving technology, providing a method and system for autonomous driving simulation testing based on functional design documents. The method includes: sending a simulation test form to the cloud and receiving an intermediate simulation test scenario file returned from the cloud; the simulation test form is obtained by sequentially parsing and classifying requirement management information; the requirement management information is extracted from the functional design document; the intermediate simulation test scenario file is obtained by running a form processing tool based on the Django web framework, using the simulation test form as input; the form processing tool is deployed in the cloud; a simulation test scenario is generated based on the intermediate simulation test scenario file, and autonomous driving simulation testing is performed based on the simulation test scenario. The simulation test scenario obtained by this invention can comprehensively cover the requirement management information in the functional design document, better meet testing requirements, and eliminates the step of secondary selection of scenario sets based on requirements in existing scenario construction methods.

This application relates to the field of project operation management technology, and in particular to a demand-driven project operation collaborative management system and method. The system uses a demand management module to perform structured parsing of user project requirements and generate demand data and user profiles; a project matching module matches project personnel qualifications, capabilities, and resources based on the demand data and user profiles, generating resource allocation results; a project collaborative execution module constructs a project workspace, records and tracks the project implementation process, forming execution trajectory data; and a project quality assessment module evaluates the project process and delivery results based on the execution trajectory data, outputting monitoring or alert information when anomalies or risks occur. This invention achieves closed-loop project operation management with precise allocation of project resources, traceable execution processes, and predictable risks, thereby significantly improving project implementation efficiency and delivery quality.