11 results about "Non-functional requirement" patented technology

The invention relates to the field of cost management, in particular to a software project cost management method and system based on big data. A software project cost management system based on big data comprises an entity word annotation module, a word embedding operation module, a function module query module and a software cost prediction module. According to the method, the function demand tag, the non-functional demand tag and the technical demand tag are determined according to the software development demand document of the user, and the function module correspondingly required by the software development demand document is determined according to the function demand tag; based on the determined function modules, selecting the closest function module from a function module library consisting of software projects of which the software design is completed, further determining cost information, and selecting the closest software project from the function module library to determine repeated workload to correct the cost information; finally, automatic software cost information prediction is completed, and reference is provided for contract pricing of a software development company.

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.

A calculator system holds an element database managing an element as design information for implementing a non-functional requirement, and a history database storing an implementation history of a past non-functional requirement. The calculator system acquires information on the non-functional requirement implemented on an IT system achieved by an architecture as a base, refers to the element database to generate a plurality of combinations of the elements, and for each of the plurality of combinations of the elements, gives a priority representing the recommendation rank of each of the plurality of combinations of the elements. When the combination of the elements satisfying a constraint condition is not present, a substitute plan is generated by using the implementation history. The calculator system outputs at least one of the combination of the elements or the substitute plan sorted on the basis of the priority.

A computer-implemented method for updating a description of an automation system of a power network including at least: providing a preliminary description of the automation system, the preliminary description including components and relationships; providing at least one non-functional requirement; adapting the preliminary description to meet the non-functional requirement by modifying the components and relationships; instantiating a final description of the automation system based on the adapted preliminary description.

The invention discloses a low-code generation method and system for a multi-terminal program, relates to the field of software development, and solves the problem of low matching degree of a low-code generation business program.The method comprises the steps that a functional requirement table and a non-functional requirement table are set, a user fills in a functional requirement table and a non-functional requirement table to obtain a service function requirement corresponding to the service program and server performance data; setting a component type of a business program rear end corresponding to the business program based on the business function demand, and obtaining an alternative scheme based on component type division; performing module operation test on the core function module based on the scheme content of the alternative scheme, and selecting an actual alternative low-code component according to a test result; the API interface of the front-end interface of the service program is adjusted based on the API interface reserved at the back end of the service program, the back end of the service program and the front-end interface are embedded, the multi-end service program is obtained, and customized construction of the service program is achieved.

The application relates to the technical field of data enhancement and system engineering, in particular to a user behavior data enhancement method based on an RFLP-driven large language model. The method comprises the following steps: determining a core driving problem and an expected application scenario 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 the RFLP driving, and coding the requirement specifications into a plurality of functional modules, forming a data generation function set according to the modules, constructing a logic scheme based on "strategy-component-combination" for the system, and converting the logic scheme into an executable scheme, finally controlling the large language model to execute the executable scheme to generate the to-be-generated user behavior data. Therefore, the problem that a prompt word is difficult to guarantee the quality and consistency of generated data is solved, and scientific methodological support is provided for constructing a high-quality, controllable and expandable synthetic user data generation system.

The application discloses a kind of low code generation method and system for multi-terminal program, it is related to software development field, solve the problem of low code generation business program matching degree, method includes: set functional requirement form and non-functional requirement form, user fills out functional requirement form and non-functional requirement form and obtains the business function requirement and server performance data corresponding to business program;Component type of business program corresponding business program backend is set based on business function requirement, and alternative scheme is obtained based on component type division;According to the test result, actual alternative low code component is selected based on the module running test of core function module to the scheme content of alternative scheme;The API interface of business program front end interface is adjusted based on the API interface reserved in business program backend, and business program backend and front end interface are embedded, and the business program of multi-terminal is obtained, and the customized construction of business program is realized by the application.

The present disclosure provides a method, device and equipment for processing development requirement data of an electric power model, which relates to the technical field of electric power development requirement. The first development requirement data to be processed is obtained; the development requirement content corresponding to each development requirement text is determined; based on the development requirement content of each development requirement text, a first data set of functional requirement types and a second data set of non-functional requirement types are determined; based on the first text quantity of the text associated with each first sub-requirement type, multiple first sub-requirement types are sorted, and based on the second text quantity of the text associated with each second sub-requirement type, multiple second sub-requirement types are sorted to obtain second development requirement data; based on the second development requirement data, a project book is generated. In this way, the management and statistics of the development requirements of the electric power model are realized, the cost of electric power model development is reduced, the efficiency of electric power model development is improved, and the reliability of development requirement data processing is improved.

The invention discloses a development comprehensive evaluation method and system based on a cloud computing technology, and the system comprises a data collection module which is responsible for automatically collecting data of functional and non-functional demands in the software development and testing process; the data processing module is used for carrying out preprocessing and deep analysis on the collected data so as to identify key indexes; and the weight distribution module is used for quantifying the key indexes and distributing weights according to project characteristics and business requirements. Through an automatic tool of a cloud computing platform, comprehensive monitoring and data collection of the test process can be realized, so that the test coverage rate is improved, a code coverage rate analysis tool is used, all key code paths are ensured to be tested, a continuous integration / continuous deployment (CI / CD) process, automatic test and feedback are implemented, and the test efficiency is improved. And key problem omission caused by human negligence is reduced.

A method of using a computing device to provide non-functional requirement (NFR) fulfilment based technical disposition including identifying, by the computing device, optimal solutions based on overlaying prioritized NFRs for at least one target system as supported by each candidate system of multiple candidate systems. Supportable technical NFRs are used for each combination of options under the multiple candidate systems. Identifying further includes generating a cognitive processing model using machine learning adaptability for extracting NFRs for options for existing system designs. Classification overlay of each individual candidate system is provided across the NFRs prioritized based on business requirement. Unbiased decision processing utilized based on discord, exclusion and similarity as functions of the cognitive processing model. A sub-optimal solution space and adaptability for the sub-optimal solution space in absence of an optimal solution is identified.

A computer-implemented method, according to one embodiment, includes analyzing application details associated with a plurality of different timestamp intervals, in response to a determination, from results of analyzing runtime information associated with an application failure event and / or sub-par runtime performance that occurs during a first operational run cycle of an application, that the failure event and / or sub-par runtime performance is caused by a Non-Functional Requirement (NFR) issue. In response to a determination that a first of the timestamp intervals falls within a timestamp associated with the application failure event and / or sub-par runtime performance, first pattern information about the application details associated with the first timestamp interval is collected. The method further includes applying the first pattern information to a weightage algorithm. In response to a determination that test coverage gaps exist in a predetermined collection of test cases, test cases are created based on the first pattern information.