Research on Dynamic Business Process Modeling of E-Government System Based on Extended ECA Rules
- DOI
- 10.2991/assehr.k.200205.032How to use a DOI?
- Keywords
- ECA rule, ECATRTE rule, business process management, dynamic modeling, e-government
- Abstract
In order to solve the problem that current e-government system business process modeling can’t adapt to changes of requirement and environment, this paper extends original ECA (Event-Condition-Action) rules and puts forward the corresponding ECATRTE (Event-Condition-Action-Temporal constraint- times of Repetition-Then-Else) rules, aims at improving the flexible management of inter-organizational government processes. Firstly, this paper divides events and actions into different granularity to solve the problem that original ECA rules can’t control granularity. Then this paper proposes the dynamic business process modeling method of e-government system based on ECATRTE rules. Moreover, this paper utilizes the binary temporal constraints between business rules to drive the dynamic routing of business processes, and uses the path-consistency algorithm to eliminate the temporal constraint conflicts. By doing so, this model has simplified the execution of business processes. Finally, this paper utilizes a concrete example of the transfer process flow of e-government documents of one city to demonstrate the feasibility of the above method, to achieve decision-making guidance and reference for the design of e-government services.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xin Wang AU - Guang Yu AU - You Peng PY - 2020 DA - 2020/02/13 TI - Research on Dynamic Business Process Modeling of E-Government System Based on Extended ECA Rules BT - Proceedings of the Third International Conference on Social Science, Public Health and Education (SSPHE 2019) PB - Atlantis Press SP - 146 EP - 150 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200205.032 DO - 10.2991/assehr.k.200205.032 ID - Wang2020 ER -