Project workload assessment method and device

Abstract

The invention discloses a project workload assessment method and device, and relates to the field of artificial intelligence. A specific embodiment of the method comprises the steps of obtaining a to-be-evaluated project according to a project workload evaluation request, identifying a business demand corresponding to the to-be-evaluated project, and obtaining one or more business functions contained in the to-be-evaluated project; classifying the one or more service functions, and determining existing service functions and newly added service functions in the one or more service functions; based on a machine learning algorithm, calculating the workload of the existing business function, and evaluating the workload of the newly added business function according to the business function evaluation template; and determining the workload of the to-be-evaluated project according to the workload of the existing business function and the workload of the newly added business function. According to the embodiment, the workload evaluation efficiency can be improved, the workload evaluation period can be shortened, the waste of human resources can be reduced, and the accuracy of workload evaluation can be improved due to the application of a machine learning algorithm.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a project workload evaluation method and device. Background technique [0002] The total number of banking software projects is large and the project complexity is high, which makes it difficult to evaluate the project workload. At present, the project workload is mainly relied on personal experience and ability to evaluate the workload. There is a lack of a unified workload evaluation method, and there are differences in each project, resulting in inaccurate evaluation. In addition, the workload evaluation of the project team will consume a lot of human resources. The evaluation period is long; moreover, the workload evaluation data lacks effective accumulation and precipitation, which lacks effective help for the workload evaluation of iterative optimization projects; in addition, the lack of quantitative basis for workload evaluation makes it difficult to obtain project ...

AI Technical Summary

Problems solved by technology

[0002] The total number of banking software projects is large and the project complexity is high, which makes it difficult to evaluate the project workload

At present, the project workload is mainly relied on personal experience and ability, and there is a lack of a unified workload assessment method, and there are differences in each project, resulting in inaccurate assessment; in addition, for the workload assessment of the project team, it will consume a lot of human resources. The evaluation period is long; moreover, the workload evaluation data lacks effective accumulation and precipitation, which lacks effective help for the workload evaluation of iterative optimization projects; in addition, the lack of quantitative basis for workload evaluation makes it difficult to obtain project management in the project establishment and settlement stages Endorsement by department or financial settlement department

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