82 results about "Requirement document" patented technology

The invention provides an AI-based automatic test case generation method and system, and relates to the technical field of software testing, and the method comprises the steps: converting an original demand document uploaded by a user into an image format document, and calling a multi-modal large model to recognize text features and non-text features in the image format document, integrating to form an analyzed demand document; dynamically cutting the analyzed demand document to obtain a plurality of logically coherent content blocks; calling a large language model to generate a corresponding test case title for each content block, and forming a test case title set; and inputting each test case title in the test case title set and the corresponding content block into the large language model to generate a complete test case corresponding to the original demand document. The method has the beneficial effects that through multi-modal content analysis and intelligent workflow arrangement, automatic analysis and understanding can be performed on image-text features of a demand document, a high-quality test case is automatically generated, and the test period is greatly shortened.

The embodiment of the invention provides a modeling method and device for an airborne system function architecture model, computer equipment and a medium, and relates to the technical field of aviation architecture design, the method comprises the following steps: inputting a design requirement document into an airborne large language model, and in the large language model, under the structural constraint of an airborne system knowledge graph, establishing a design requirement document; the method comprises the following steps: extracting a logical relationship between entities required by airborne system modeling from a design demand document, screening a corresponding airborne meta-model according to the extracted logical relationship between the entities, and constructing a demand graph; constructing and outputting a text model of a concept scene, a text model of a task scene, a text model of a system function, a text model of a logic architecture and a text model of a physical architecture of the airborne system based on the demand graph; and inputting each text model into a system modeling language modeling terminal for visualization to obtain a multi-level functional architecture model of the airborne system. According to the scheme, the modeling efficiency, consistency and normalization are improved.

The invention relates to the technical field of software development management, in particular to a cloud platform collaboration method and system oriented to elastic resource scheduling, and the method comprises the following steps: dynamically collecting a development data source and a demand document, determining a developer capability portrait based on the development data source, and determining a task demand portrait based on the demand document; inputting the updated developer capability portrait and the task demand portrait into a preset matching model, and dividing the received to-be-processed project task into a plurality of groups of subtask sets based on the updated preset matching model; and determining a developer matching scheme of each subtask in the subtask set by using the updated optimization algorithm. According to the method, a static skill label is upgraded into a quantifiable and updatable dynamic portrait, an optimization function is constructed by multiple targets such as skill matching degree, load balance, project priority and cooperation cost, and a specific implementation method of an optimal developer matching scheme is solved for an atomic task.

The embodiment of the invention provides a requirement document auditing method and device, computing equipment, a storage medium and a product. The method comprises the following steps: acquiring an auditing request for a target demand document sent by a user side, and analyzing the target demand document in a reasoning stage by using a multi-modal artificial intelligence module to determine key information corresponding to various modal data contained in the target demand document and at least one action plan involved in the target demand document; performing knowledge retrieval based on the at least one action plan in the action stage to determine reference data associated with the at least one action plan, and auditing the target demand document according to the key information and the reference data; generating an auditing report according to the auditing result; and feeding back the auditing report to the user side. According to the technical scheme provided by the embodiment of the invention, the auditing efficiency and accuracy of the demand document can be improved.

The invention discloses a software development requirement document generation method and device, equipment and a storage medium, and relates to the technical field of document generation, and the method comprises the following steps: obtaining first requirement information collected when target software is developed, and carrying out data preprocessing on the first requirement information to obtain corresponding second requirement information; determining each target entity corresponding to the second demand information, and constructing a target knowledge graph based on each target entity; complementing missing information in the second demand information based on the target knowledge graph by using the target large model to obtain third demand information, and performing logic verification on the third demand information to determine target demand information based on a logic verification result; and determining a corresponding target demand document template based on the software development demand type corresponding to the target software, and generating a target software development demand document corresponding to the target software based on the target demand document template and the target demand information. According to the invention, the generation efficiency and accuracy of the software development requirement document can be improved.

The invention discloses a task book demand standardization method based on retrieval enhancement generation, and the method comprises the following steps: S1, gathering historical demand documents and standardized records, completing cleaning, term unification and structured storage, and forming a maintainable and searchable domain knowledge base; s2, segmenting the document into entries, carrying out keyword labeling and vectorization representation and indexing, and establishing a complete knowledge base system; s3, generating a high-quality reference set through pre-retrieval enhancement, semantic matching retrieval and post-retrieval enhancement; s4, based on the multi-layer template, driving the large model to output a structured demand confirmation document draft; and S5, providing interactive auxiliary revision containing user feedback and a double termination mechanism, and providing powerful intelligent support for finally forming a demand document. According to the method, the defects of element recognition, knowledge reuse and consistency guarantee in the prior art can be overcome, and a feasible engineering path is provided for large-scale and cross-scene demand standardization.

The invention discloses an intelligent demand analysis and man-hour evaluation method and system, and belongs to the technical field of computer vision and artificial intelligence. Analyzing the multi-modal demand document containing the text, the picture and the table to generate structured demand data; based on the structured demand data and the system module description, performing module-level splitting on the demand to generate a module task set; retrieving an associated system implementation context for each task in the module task set based on a multi-dimensional knowledge base; fusing the structured demand data, the module task set and the system implementation context to generate a fine-grained technical task; based on a historical case index, calculating reference working hours for the fine-grained technical task; and cross-module cooperative correction and personalized correction based on the ability of the task executor are sequentially performed on the reference working hours to obtain final evaluation working hours, so that automatic deep analysis and accurate and personalized working hour evaluation of software requirements can be realized.

The invention discloses a method and system for software automatic testing, and relates to the technical field of computer software testing, and the method comprises the steps: building a constraint initial test target set covering path input and output; dynamically adjusting a test case generation strategy for the demand document; and updating the reconstructed test case to the constraint initial test target set, and constructing a path priority for the second time to complete the software automatic test. According to the invention, the accuracy of test case generation and the demand coverage integrity are improved; dynamic weight distribution of a test path and self-adaptive adjustment of a test case generation strategy are realized, and the coverage capability on a deep path and a high-risk module is effectively improved; the response capability of the test system to frequent iteration and the reuse efficiency of test resources are enhanced, and the software automatic test with higher automation degree, stronger environmental adaptability and more comprehensive coverage is realized on the whole.

The invention provides a multi-agent collaborative system demand document automatic generation method and system.The method is applied to a generation system comprising a data input layer, a demand document processing layer and a document output layer, and specifically comprises the steps that original demand data are input into a large language model, structured decomposition is conducted on the original demand data, a demand entry list is obtained, and the demand entry list is stored in a database; and sequentially generating corresponding initial system demand documents according to a list sequence, performing rationality review on the corresponding initial system demand documents, directionally correcting the corresponding initial system demand documents according to a rationality review result, integrating the corrected initial system demand documents according to the list sequence, and outputting the system demand documents. According to the method, through closed-loop control of a single demand and a link from an auditing process to single demand control in advance, the problem of insufficient document accuracy is solved, and the document generation efficiency is improved.

The invention discloses a graphical code verification method, and relates to the technical field of rail transit signal systems, and the method comprises the following steps: S1, reading a new version demand document FS, a design document AD and a graphical code EMIL of a subsystem; s2, comparing the demand document FS and the design document AD of the new version and the old version, and associating to obtain an NEWTrace table file and an OLDTrace table file; s3, the NEWTrace table file and the OLDTrace table file are traversed, and a ChangeLog table is obtained; s4, reading a new and old version graphical code EMIL and a ChangeLog table, and generating a code comparison text file and an AD check text file; s5, traversing and updating the Themes verification table; s6, verifying the consistency of the requirement for modifying the entry and the code; and S7, summarizing all verification results of the Themes verification table. According to the method, demand design and codes are integrated, corresponding modification demands and modification codes are identified and triggered through an automatic method, walking verification is facilitated, and the code walking verification efficiency is improved.

The application discloses an English requirement ambiguity auxiliary checking system, which comprises a storage layer, a model layer, a business logic layer and a display layer, wherein the NLP model of the model layer comprises several submodels, the business logic layer comprises an NLP pipeline management module, the NLP pipeline management module selects corresponding submodels from the NLP model as subtask processing modules according to ambiguity checking requirements, and then connects the subtask processing modules in series to form an NLP pipeline; after a requirement document is imported into the NLP pipeline, each subtask processing module in the NLP pipeline labels the requirement document with a specific label, until the ambiguity checking is performed, and finally, the output is the requirement document with the label.

The invention provides a demand document collaborative generation method and device, and relates to the technical field of document generation. The method comprises the steps of obtaining demand description information of a preset item and a predefined document structure mode; according to the demand description information and the document structure mode, a document frame is generated, and the document frame comprises a chapter tree, at least one structure block under each chapter of the chapter tree and a plurality of to-be-filled fields of each structure block; a planning agent is called, a document task graph is generated according to the reference relation between the structure blocks and the constraint relation between the to-be-filled fields, and the document task graph is composed of multiple types of task nodes; according to the demand description information, a writing agent and a verification agent are called to execute tasks corresponding to task nodes in the document task graph, so that content filling and checking are carried out on the to-be-filled field of the at least one structure block; and generating a demand document of the demand description information after the check is passed.

The invention relates to a method and a device for integrating multi-version demand documents and computer equipment, and relates to the technical field of computers, and the method in one embodiment comprises the following steps: obtaining multi-version demand documents of a target system, and sorting the multi-version demand documents based on the latest update time of the demand documents to obtain a demand document sequence; structural analysis is conducted on the demand documents of all the versions, the content of the demand documents is disassembled into structural knowledge units, and each knowledge unit comprises an independent function point and corresponding attribute information; determining knowledge units describing the same function point in the demand document of each version, and associating the knowledge units describing the same function point in the demand document of each version based on the demand document sequence to form a knowledge unit change chain; and generating an integrated demand document based on the knowledge unit change chain of each function point. By adopting the scheme of the embodiment, the management efficiency of multi-version demand documents is improved.

The invention relates to the technical field, and discloses an intelligent software development auxiliary platform fusing multi-modal information, which comprises a multi-modal information acquisition module, a multi-modal fusion module, an interaction and auxiliary generation module, an atlas construction module, a collaborative management module and a feedback closed loop module. According to the method, information of different forms such as requirement documents, design drafts, codes and operation and maintenance data is automatically understood and associated, a unified project knowledge graph is constructed, 'information isolated island 'in a traditional development tool chain is broken, complete and traceable contexts are provided for developers, manual switching and information splicing among multiple tools are not needed, and the development efficiency is improved. And the cognitive load and the context switching cost are obviously reduced. The high-quality code can be directly generated according to the natural language description or the design manuscript, and repeated work is liberated.

The application discloses a test case generation method and system, and belongs to the technical field of functional safety testing. The test case generation method automatically extracts structured data by performing semantic analysis on a functional safety requirement document, the structured data includes an ASIL level, a functional parameter threshold boundary and a safety target, and automatically determines a test method set based on the ASIL level and a preset rule, and automatically generates a test data set based on the ASIL level and the functional parameter threshold boundary, and then automatically generates a test case set in combination with the test method set, the test data set and the safety target, so that manual checking of standards or manual writing of cases are not needed in the whole process, and therefore, the generation time of functional safety test cases can be shortened, and the efficiency of test case generation can be improved.

This application provides a test project generation method, applicable to the fields of artificial intelligence and fintech. The method includes: receiving a formal test identifier for a formal test project and a first requirements document; matching temporary test projects from a pre-defined temporary test result library based on the first requirements document to obtain temporary test results, wherein the temporary test projects in the temporary test results include requirements item tags, and matching the temporary test projects from the pre-defined temporary test result library based on the first requirements document includes matching the temporary test projects based on the requirements item tags from the first requirements document; and creating a formal test project based on the formal test identifier and the temporary test results. This application also provides a test project generation apparatus, device, and storage medium.

The application provides a code review method, device, storage medium and program product. The method comprises: performing semantic labeling on variables in target code according to a requirement document to generate a variable description document; generating a prompt word of a large language model according to the requirement document, the target code and the variable description document; inputting the prompt word of the large language model into the large language model to generate a review result of the target code. Compared with the prior art, the embodiment of the application establishes a mapping relationship between the code and the requirement document by performing semantic labeling on the variables in the target code according to the requirement document to generate the variable description document; and the large language model can accurately understand the meaning of the variables in the target code by further generating the prompt word in combination with the requirement document and the target code, thereby improving the reliability of the code review and the accuracy of the code review result.

The application relates to a test case generation method and device in a software development process, and belongs to the technical field of data processing, wherein the method comprises the following steps: acquiring multiple versions of requirement documents, and preprocessing and vectorizing the multiple versions of requirement documents to obtain a requirement document vector set; vectorizing a target function list to obtain a target function vector, determining a first preset number of requirement document vectors with the highest cosine similarity with the target function vector as a candidate vector set; correcting the cosine similarity between each candidate vector and the target function vector based on a dynamic weight decay factor of each candidate vector; determining a reserved vector set, and removing the requirement documents corresponding to the candidate vectors except the reserved vector set, updating the multiple versions of requirement documents; and generating test cases based on the updated multiple versions of requirement documents. The application can realize efficient and accurate generation of test cases.

The embodiment of the invention relates to a demand document generation method and device, equipment and a medium, and the method comprises the steps: obtaining an initial demand document, and determining an associated sub-demand document associated with the initial demand document in a pre-constructed reference sub-demand document library; generating a candidate demand information set according to the associated sub-demand document and the initial demand document; a plurality of groups of demand prompt words corresponding to a plurality of predetermined demand analysis models are obtained, a target demand document is generated through the plurality of demand analysis models according to the plurality of groups of demand prompt words and the candidate demand information set, each group of demand prompt words corresponding to each demand analysis model are not completely the same, and each group of demand prompt words corresponding to each demand analysis model is not completely the same. The target requirement document meets requirements corresponding to the multiple groups of requirement prompt words. According to the technical scheme, the generation efficiency of the demand document and the comprehensiveness and the understandability of demand expression are improved.

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

A system is provided.SOLUTION: A system comprising: means for analyzing requirement data input from a user by using natural language processing; means for extracting relevance of the requirement data by using machine learning and displaying the extracted relevance as a graph; means for automatically generating a requirement document by using template generation artificial intelligence and performing grammar check; and means for establishing traceability of requirements, implementation, and test by utilizing a data mining technique and evaluating change influence.SELECTED DRAWING: Figure 1

This application discloses an automated test data generation method and an automated testing method. The automated test data generation method includes: acquiring the requirements document and development document of the business system, and inputting the requirements document and development document into an AI analysis platform respectively; the AI ​​analysis platform outputs at least one target test object and business requirement information of the test object, wherein the at least one target test object includes a test object and a regression test object; inputting the business requirement information and each target test object into an AI data generation platform, the AI ​​data generation platform analyzes the business requirement information and each target test object, and generates test cases for each target test object, wherein functional test cases are output for the test object and regression test cases are output for the regression test object; and generating test data corresponding to each target test case according to the development document. Utilizing the embodiments of this application can reduce maintenance costs and improve testing flexibility.

Embodiments regard generating a requirements statement model. A method can include extracting, from a requirements document, a requirement statement, tagging each word of the requirements statement with a corresponding part of speech tag, identifying dependencies between words and types of dependencies between each word of the requirements statement and associating types of dependencies with each word, generating respective meta-tags for each word of the requirements statement based on the part of speech tag and dependencies, each meta-tag including the parts of speech and type of dependency for each word, identifying, based on the meta-tags and the dependencies, a tree of trees that represent the structure of the requirements statement, and populating the requirements statement model that maps to the identified tree with words of the requirements statement.

The invention discloses an intelligent test case generation method and device, a terminal and a storage medium. The method comprises the following steps: extracting entities of a demand document, mining an association relationship between the entities and carding out a complete business process link, and converting the demand document into standardized structured demand data; nodes and edges are constructed through the industry knowledge base and historical test case data, and a domain knowledge graph is generated according to the nodes and the edges; selecting a test design method based on the structured demand data and the domain knowledge graph, and generating a test strategy according to the selected test design method; and generating an initial test case according to the test strategy, and verifying and optimizing the initial test case to obtain an optimized test case. According to the method, a full-process automatic link of demand analysis, test design, case generation and verification optimization is constructed, multi-tool switching is not needed from demand document processing to final optimization test case output, manual intervention links are greatly reduced, and an end-to-end automatic closed loop of test case generation is realized.

The application relates to a demand document generation method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: in response to a demand document generation instruction, obtaining a target document template and at least one target demand number; obtaining a target demand data object containing the at least one target demand number from a database, the target demand data object comprising a target main object and a target sub-object associated with the target main object, the target main object being used for representing demand attribute information of the target demand data object, and the target sub-object being used for representing structured business data of the target demand data object; and rendering the target document template, the target main object and the target sub-object according to the type of a placeholder in the target document template to generate a target demand document. Thus, the target demand data can be called from the database through the target demand number, and the demand document can be generated by rendering the demand template, so that the demand document generation efficiency and accuracy are improved.

The embodiment of the invention provides a test data synchronization method and device, and relates to the technical field of software testing. The method comprises the steps that a triple is constructed on the basis of a demand document, so that a function block, a test case and brain map data have a three-party incidence relation on the basis of the triple, and the triple comprises a function block address, a test case address and a brain map node address; monitoring an editing operation on any one of the function block, the test case and the brain map data; and in response to the editing operation, positioning and updating the data of the other two parties associated with one of the three parties. Through one embodiment of the invention, the problem of low change and maintenance efficiency during software testing in the prior art is solved, and the effect of improving the change and maintenance efficiency during software testing is further realized.

In some cases involving the field of data processing technology, methods, apparatuses, devices, storage media, and program products for detecting requirement documents have been disclosed. The method includes: acquiring the document content of the requirement document; parsing the document content to obtain a first requirement element, which is the requirement element currently present in the requirement document; acquiring data objects and their historical change information, with the data objects corresponding to the data assets associated with the requirement document; and performing correlation analysis between the first requirement element and the data objects and their historical change information to obtain the requirement document detection result. This achieves automatic detection of requirement documents, improves the efficiency of data requirement fulfillment detection, reduces the possibility of missed risks, and enhances the reliability and accuracy of requirement document detection.

The invention relates to a software demand analysis system and method based on a knowledge base and deep learning, and the system comprises a function list generation module which is used for calling a demand analysis knowledge base to retrieve received software function demand information, under the guidance of the first cue word template, a required software function list is generated through a preset large language model, and the software function requirement information represents software functions wanted by the user; the function detail generation module is used for calling a demand analysis knowledge base to retrieve various software functions in the list according to the software function list, and extracting and assembling through a preset large language model under the guidance of a second cue word template to generate software function details; and the function demand generation module is used for generating a function demand specification through a preset large language model under the guidance of the software function details and the third cue word template. Through the method and the device, the problem of how to improve the generation quality of the demand document in the software demand project is solved.

This invention provides a front-end testing system and its control method based on browser debugging and AI generation. The system includes an input module, an automated control adaptation layer, a debugging protocol collector, a test evidence package builder, a test case generation orchestrator, an AI code generation engine, a script quality gate, and a self-healing and backfeeding module. The self-healing and backfeeding module is data-connected to the script quality gate to determine the failure reasons of failed test script drafts and to use corresponding strategies to correct the failed test script drafts, effectively improving test case construction efficiency. The test intent structure, structured evidence package information, and test constraint template drive the AI ​​code generation engine to generate test script drafts, reducing reliance on manual writing and positioning, as well as waiting for experience, shortening the path from requirement documents to executable test cases, reducing manual dependence, and improving bridging stability.

The invention discloses a file management method and device, equipment and a medium. The method comprises the steps that in response to a project creation request of a user, an ignition data set file is created, the ignition data set file is used for representing a template file corresponding to a project demand, and the project creation request comprises the project demand; performing task association on the ignition data set file according to the project demand and a preset increment file to obtain an associated demand file; verifying the associated demand file to obtain a verification result; and under the condition that the verification result is successful verification, performing full-process display on the associated demand file. According to the embodiment of the invention, association management of multiple calibration files can be realized, and the calibration files are traced, so that whole-process intelligent management is realized.