Service influence degree analysis method

Abstract

The invention discloses a service influence degree analysis method. The method comprises steps as follows: (a), first, all service types included by a system are preliminarily classified according to function modules which the service types belong to, and each service type at least comprises one service process node; (b), then all the service types are classified with a cluster algorithm according to similarity of the included process nodes; (c), finally, the service types associated with a new demand are determined, and influence weights of the new demand on the associated service types are calculated with an analytic hierarchy process. Services directly influenced by demand change are specified in view of a user, whether changes of the services have influence on other factors is specified by analyzing the obtained dependent relationship among the services, the influence degree among the services is obtained with a proper algorithm, the influence degree of the new demand on the services can be visually and accurately calculated, and accordingly, following test tasks can be reasonably and conveniently arranged and the change controllability of the system is greatly improved.

Description

technical field [0001] The invention relates to a method for assessing the impact of system business requirement changes, in particular to a business impact degree analysis method. Background technique [0002] Impact analysis is an analysis method applied to system impact assessment. Requirements changes occur frequently in large-scale software systems, and the launch of requirements also brings unstable factors to the system. System failures often occur due to the launch of requirements. Faults play an important role. [0003] At present, there are mainly the following methods for impact analysis: [0004] 1. Chain substitution method: Decompose the analysis index into various measurable factors, and according to the interdependence of each factor, use the comparative value of each factor (usually the actual value) to replace the reference value (usually the standard value or Planned value) to determine the impact of various factors on the analysis indicators. [0005]...

AI Technical Summary

Problems solved by technology

[0008] (1) The degree of influence of each factor can be measured, but care must be taken to control the sequence, continuity, and hypothetical nature of the calculation results, which has great limitations

[0009] (2) Simple impact analysis can only obtain its influence from numbers, and cannot intuitively judge the importance of its influence

[0010] (3) Based on the characteristics of numerous businesses and complex processes in the existing IT system, the existing analysis technology cannot clarify the relationship between business process nodes, resulting in the inability to determine the corresponding sequence and other characteristics during analysis

[0011] (4) The existing technology cannot analyze the change of a certain node of the system leading to the change of other businesses, and the degree of impact on other businesses

[0012] (5) Existing technology needs to clarify the dependency relationship of each factor to realize the analysis, but in the actual process, the dependency relationship of the factors is unknown, and it is impossible to directly use this method to realize the analysis and display of the influence degree

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