Name
Abstract | ||
|---|---|---|
To tackle problems such as information change management in tourism, an adaptive information change management based on workflow system is described. In overall structure. business logic, application logic and function logic are separated each other as the basic principles for system to finish the task of self-adaptability. In order to process agilely information changes, it should be provided with characteristics of dynamic re-engineering, to achieve adaptive adjustment or dynamic adjustment of process, and this cannot be satisfied in traditional workflow system. Workflow can fulfill adaptability by adding some other characteristics in domain, process model and system infrastructure. Here we develop adaptive workflow system change management system. It is set up on the basis of traditional workflow system, that is to say, it is in accord with the reference model of workflow management system mentioned above in framework. The difference is adaptive workflow management system lay emphasis on ability of flexible reengineering, response and adaptability to change information. Therefore, it should be added new characteristics to meet the adaptability demand on the basis of original workflow reference basic model. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICSMC.2006.384861 | 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS |
Keywords | Field | DocType |
management system,business logic,change management,tourism,workflow management system,satisfiability,management of change,reference model,process model,web services,travel industry | Computer science,Artificial intelligence,Workflow engine,Workflow,Adaptability,Business process management,Workflow technology,Software engineering,Business logic,Change management (ITSM),Workflow management system,Database,Machine learning | Conference |
Volume | Issue | ISSN |
6 | null | 1062-922X |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hu Tao | 1 | 70 | 9.94 |
| Ye Hu | 2 | 0 | 0.34 |
| Baohong Li | 3 | 0 | 0.34 |