Project risk prediction method and system based on project research and development process

Abstract

The invention relates to big data processing, and provides a project risk prediction method and system based on a project research and development process. The method comprises the steps of obtaininga project research and development plan, splitting the project research and development plan into a plurality of project tasks, and abstracting reference index attributes based on the project tasks; acquiring current project research and development process data, and performing analytical statistics on the project research and development process data according to the trained risk estimation algorithm model to generate project offset data, wherein the risk estimation algorithm model is obtained by training according to the reference index attributes and the historical project risk data; and according to the project offset data, predicting to obtain a project risk type and a key risk point. In addition, the invention also relates to a blockchain technology, and the project offset data can be stored in the blockchain. By adopting the method, the project risk type and the key risk point in the future stage can be determined by integrating the project offset data, risk point management omission is avoided, the reasonable state of the project risk point is maintained, and the risk management and control efficiency is further improved.

Description

technical field [0001] This application relates to the technical field of big data processing, in particular to a project risk prediction method and system based on the 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, there are different R&D projects 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 the key factor for the success or failure of a project. In order to improve the achievement rate of project objectives as much as possible, 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 pr...

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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