Service progress monitoring method, device and system and computer readable storage medium

Abstract

The invention provides a service progress monitoring method, device and system and a computer readable storage medium. The method comprises the following steps: determining at least one similar historical service of a monitored service from a historical service set through employing a similarity model, and calculating the prediction progress information of the monitored service according to the atleast one similar historical service; acquiring actual progress information of the monitored service by utilizing the program burying points; and the progress of the monitored service is monitored bycomparing the actual progress information with the predicted progress information. By means of the method, the prediction progress information of the monitored service to be executed can be predictedaccording to the historical service, and then whether the actual progress of the monitored service is abnormal or not can be judged more accurately.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a business progress monitoring method, device, system and computer-readable storage medium. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] In modern enterprises, it is usually necessary to rely on online systems to build a compliant, transparent and efficient business monitoring system. However, in the prior art, the business process of an enterprise usually includes complex business links, so it is difficult to accurately predict the progress of the business, and it is difficult to judge whether there is an abnormality in the actual process of the business. In the face of complex business implementation scenarios, the existing schedule management methods have...

AI Technical Summary

Problems solved by technology

However, in the existing technology, the business process of an enterprise usually includes complex business links, so it is difficult to accurately predict the progress of the business, and it is difficult to judge whether there is an abnormality in the actual process of the business

In the face of complex business implementation scenarios, the existing schedule management methods have the following problems: (1) The formulation of business schedule plans is usually set by business personnel based on experience, which is highly subjective and lacks an objective standard forecasting system; (2) When there are complex constraint relationships (such as sequential execution and parallel execution) among the various links of the business, it is difficult to monitor in real time

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