Business process model change domain adaptation method based on differential Petri net

Abstract

The invention discloses a new method for searching for a business process model change domain optimal adaptive module on the basis of a differential Petri net, and relates to adaptive module establishment based on the differential Petri net and module optimization based on a minimum support. The method comprises the steps that (1) a target model is formed by a model to be written and adaptive modules according to the open Petri net, a control flow net corresponding to the target model and a data flow net corresponding to the target model are obtained through the differential Petri net, activity of a net model is detected through a differential Petri net evolution expression, and the adaptive modules are selected; (2) control flow nets, data flow nets, discrete parts and differential parts of the adaptive modules are calculated sequentially, minimum support counts of the adaptive modules are compared, and the optimal adaptive module of the model to be written is determined step by step. According to the business process model change domain optimal adaptation method, the purpose of model adaptation on the situation that constraint of control flow and data flow exist is effectively achieved, and the defect that according to an existing structure matching method, a local optimal module is caused due to neglect of data information is overcome.

Description

technical field [0001] The invention belongs to the field of e-commerce information technology, and relates to a new method for adapting and correcting changing regions in a business process model, including selecting an adapting module and a module optimizing method based on a minimum support. Background technique [0002] At present, business systems are often composed of multiple service components. Due to internal resource loss and external interference, business systems may fail to achieve the expected goals during actual operation. Therefore, in the actual modeling process, the establishment of the model is not accomplished overnight, and the model needs to be improved and optimized repeatedly. In particular, after the change area of ​​the model is found, the model can be improved by correcting the change part. For changing domain repair, the easiest and more effective method is to replace and correct the abnormal parts in the model, which further involves the problem...

AI Technical Summary

Problems solved by technology

When modifying and analyzing the changing part of a target model, the control flow relationship can reflect the external structure characteristics of the model. In the process of adapting the external structure matching, it is necessary to consider the influence of internal behavioral constraints on the selection of the adaptation module, otherwise A large amount of data information will be lost, reducing the confidence of finding the best matching module

Using the external structure matching method has the disadvantage of limited feature information, and cannot guarantee the optimality of the adaptation module

None of the existing search methods for module adaptation in variable domains can improve the comprehensiveness and accuracy of the best module adaptation search.

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