Project risk prediction method and system based on project development process

Abstract

The present application relates to big data processing, and provides a project risk prediction method and system based on the project research and development process. The method includes: acquiring a project research and development plan, splitting the project research and development plan into a plurality of project tasks, and abstracting benchmark index attributes based on each project task; The model analyzes and counts the data in the project development process to generate project offset data; the risk estimation algorithm model is trained according to the benchmark index attributes and historical project risk data; according to the project offset data, the project risk type and key risk points are predicted. In addition, this application also relates to blockchain technology, and project offset data can be stored in the blockchain. Using this method, the project risk types and key risk points in the future stage can be determined based on the project offset data, so as to avoid omissions in the management of risk points, and maintain a reasonable state of project risk points, thereby improving the efficiency of risk management and control.

Description

technical field [0001] The present application relates to the technical field of big data processing, and in particular, to a project risk prediction method and system based on a project research and development process. Background technique [0002] With the development and application of big data processing technology, in the overall R&D process of IT products, different R&D projects are set up for products, which can include R&D projects such as product demand determination, product design, product development, and product testing and release. The achievement of project objectives is a key factor in the success or failure of a project. In order to maximize the achievement rate of project objectives, project management emerges as the times require. [0003] Among them, project management includes project scope management, project time management, project cost management, project quality management, project risk management, project resource management, project process manag...

AI Technical Summary

Problems solved by technology

However, due to the complexity of the IT product R&D project itself, and with the continuous development of software product design ideas and R&D models, the complexity of R&D project risk management has been further increased, making the traditional IT project risk management lag behind. The scope and depth of management can no longer meet the needs of existing project risk management, and management omissions are prone to occur, resulting in relatively low efficiency of risk management and control

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