Difference analysis method and management server of automatic demand progress based on ci

Abstract

This application discloses a difference analysis method and a management server based on a CI-based automated demand progress, which can detect the delivery deviation of the business version in the process of research and development, and can ensure the on-time delivery of the business and continuously improve the competitiveness of the enterprise. The method includes: Receive the planning information sent by the first terminal device of the business personnel, the planning information includes the business requirements list and identification information of the business version; configure the identification information into the CI pipeline in the management server, and send the business requirements list to the second A terminal device; receiving submission information sent by a second terminal device, the submission information including ID information corresponding to at least one business requirement; based on the submission information, triggering CI pipeline operation, based on the ID information corresponding to at least one business requirement, at least one business Analyze the development progress of requirements, and obtain a development progress difference analysis report corresponding to at least one business requirement.

Description

technical field [0001] The present application relates to the technical field of software development management, in particular to a CI-based difference analysis method for automation requirement progress and a management server. Background technique [0002] In the digital age, business agility is an important IT capability for enterprises. Business agile enterprises can quickly adjust strategies, structures, resources, and processes according to market changes, so as to make business adjustments more quickly and accurately, optimize input and output, and continuously improve competitiveness. [0003] However, in the traditional R&D mode, the long development, testing, and deployment cycles limit the agility of the enterprise, and the response to business needs and changes is slow. The R&D results are often not discovered manually until the testing stage, and the R&D process is close to black. It is often not until the later stage of the project that there is a large devia...

AI Technical Summary

Problems solved by technology

[0003] However, in the traditional R&D mode, the long development, testing, and deployment cycles limit the agility of the enterprise, and the response to business needs and changes is slow. The R&D results are often not discovered manually until the testing stage, and the R&D process is close to black. It is often not until the later stage of the project that there is a large deviation between the realization of the requirements and the planned requirements, and it is easy to fail to deliver on schedule

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