13 results about "Requirements elicitation" patented technology

The invention discloses a software requirement modeling method and device based on a natural language, equipment and a medium, and relates to the field of software requirement modeling. According to the software demand modeling method and device based on the natural language, the equipment and the medium, through automatic demand analysis and model generation, the manual workload is greatly reduced, and meanwhile, errors caused by manual understanding deviation are reduced; close connection among the steps is ensured by sharing intermediate representation and a unified data model, output of the previous step provides structured information for input of the next step, and information loss or distortion is avoided; a demand provider is allowed to participate in a model confirmation process through an iterative demand acquisition and modeling framework of man-machine cooperation, and the quality of a demand model is continuously improved; by means of the model consistency analysis technology based on the data flow dependency relationship, the problem of inconsistency between the requirement specification and the software model can be automatically detected, and the software product quality is improved.

This invention discloses a code generation system and method based on pre-set code scanning rules, including a requirement acquisition module, a rule extraction module, a prompt word construction module, a code generation module, a rule verification module, and a result output module. The requirement acquisition module, rule extraction module, prompt word construction module, code generation module, rule verification module, and result output module interact with each other through a standardized interface. This invention deeply integrates the rule data accumulated by enterprises in the code scanning module with artificial intelligence code generation capabilities, enabling enterprises to automatically apply their existing code quality assurance experience to the generation process of new code, realizing the value-added utilization of data assets. Through the closed-loop feedback mechanism of the rule verification module, this invention can automatically construct correction instructions and regenerate when the code fails the scanning detection, reducing manual intervention and improving the level of automation.

The invention discloses a data quality auditing and scoring model, which relates to the technical field of data processing and comprises the following steps of demand acquisition and scheme formation, rule system construction, data auditing execution, comprehensive quality scoring and problem closed-loop processing. According to the method, management and control objects, core data items, six data quality dimension standard-reaching requirements and differentiated management and control thresholds are defined in a demand acquisition stage, a data quality scheme is formed, a quality rule system covering beforehand, during and after beforehand is constructed, a verification logic module is formed according to a six-dimension disassembling rule, and a verification result is obtained. A data quality auditing model is built to verify target data, deep linkage of demand-rule-auditing is achieved in the whole process, a rule system and a management and control target are precisely matched, the data quality auditing model executes verification according to a standardized dimension, the dimension problems of data integrity, uniqueness and the like can be precisely positioned, and the verification efficiency is improved. And clear data quality control direction and efficient execution are ensured.

The invention provides a data product supermarket platform. The data product supermarket platform comprises a demand acquisition module, a demand analysis module and a data product recommendation module, wherein the demand acquisition module is used for acquiring demand information of a user; the demand analysis module is used for analyzing the demand information and determining a target product; and the data product recommendation module is used for pushing the target product. According to the data product supermarket platform, the data products are automatically matched according to the demand information input by the user, and the user can quickly find the required data products.

The present invention relates to the technical field of employment services, and particularly to an employment service management system based on intelligent big data. The system obtains enterprise recruitment requirements through a requirements acquisition unit, a requirements extraction unit extracts a number of requirement tags based on the recruitment requirements, a retrieval unit obtains a number of job seeking information that meets the recruitment requirements from an employment database based on the requirement tags, a screening unit screens the number of job seeking information according to preset screening tags to obtain a number of screened information, an auditing unit audits the screened information to obtain audit information and sends interview notices to the corresponding job seekers, a statistics unit counts the number of personnel increases of the enterprise within a preset period, an analysis unit determines whether the recruitment process meets the standards based on the comparison between the number of personnel increases and a preset value, and determines the reasons when the standards are not met. Finally, an adjustment module determines and adjusts the operating parameters of the corresponding unit based on the reasons, thereby optimizing the recruitment process and improving the recruitment efficiency of the enterprise.

The present invention discloses a method, apparatus, and storage medium for automatically generating a requirements document based on human-computer interaction. The method includes: S1. Constructing a dialogue template corresponding to the software requirements document specification based on a preset standard; S2. Asking questions to the user according to the dialogue template and collecting feedback information; S3. Extracting requirement information from the user's message according to the feedback information and predicting a response action; S4. Filling the requirement information into the dialogue template in the response action and constructing a response message according to the requirement information; S5. Repeating steps S2 to S4 until the dialogue is stopped after obtaining a complete software description or the dialogue ends when no new information can be obtained; S6. Generating a mind map and a software requirements document that meets the preset standard according to the obtained information. The present invention adds preset requirement acquisition questions to the template, and a formatted software requirements document will be generated after the dialogue ends, saving labor and time costs for requirement acquisition and can be widely applied to the field of document generation.

The embodiment of the invention provides a demand-based software testing scheme recommendation method and a storage medium, and belongs to the technical field of software testing. The method comprises the following steps: acquiring historical project data and to-be-tested software demand data; constructing a test scheme library according to the historical project data; according to the test scheme library, carrying out feature extraction on recommended software requirements; extracting feature words of the demand data and the recommended software demand to obtain a first feature vector and a second feature vector; obtaining the correlation between the first feature vector and the second feature vector; sorting the test schemes in the test scheme library according to the correlation; and obtaining a final test scheme according to the sequence and the demand.

The invention discloses a framework component for software development and a construction method thereof, and relates to the technical field of software development. The construction method comprises the following steps: selecting registered functional modules (each module corresponds to a uniform URL (Uniform Resource Locator) and an input parameter) in a framework based on a functional requirement of a target component, and appointing a URL calling sequence and the input parameter according to business logic to finish component construction; registration is dynamically generated when the modules are missing, the modules are dispatched through an upper function module group during component application, the execution efficiency is optimized by combining the calling frequency and waiting time consumption, and the number of the modules is supplemented according to needs. The framework component comprises a demand acquisition module, a conversion module and a logic implementation module, and is used for implementing demand receiving, parameter conversion and module calling feedback. According to the method, hard code packaging is abandoned, the component flexibility is high, the method can adapt to rapid data replacement, the development cost is reduced, and meanwhile the module calling efficiency and reliability are improved.

The invention provides a full-stack equipment software management method and platform based on a cloud platform, and relates to the technical field of cloud computing, and the method comprises the steps: carrying out the demand decomposition of a demand text, and generating a specific equipment function demand; the information transmission of the demand input module, the demand management module, the development management module, the test management module and the deployment and use management module is realized. The problems of inaccurate demand acquisition, low efficiency of development and test links, complex software version management, slow equipment deployment and use feedback, demand misunderstanding, communication delay, information loss and the like in the equipment software development process are solved.

The present application provides a method and device for requirement acquisition, a storage medium, and an electronic device. Since the product attribute list is constructed based on the system functions of the product system to be updated and user behavior habit data, filling in the product attribute list helps users express their requirements more accurately, thereby obtaining relatively accurate user requirements. Moreover, most of the functions included in the obtained target requirements are functions already supported by the product system to be updated. Therefore, based on the target requirements, it is possible to quickly convert user requirements into system functions of the application system.