DocumentCode :
2326752
Title :
Verification and reduction of cyclic structure in workflow model
Author :
Xiao, Zheng-Jin ; Qi, Chen ; Huang, Qi-Chun
Volume :
3
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
1487
Abstract :
As the foundation and focal point of workflow application, it is unavoidable to introduce the structural conflict during the establishing of workflow model. However, the currently existed verification method of workflow mode has limitations. An effective method that can be used to verify arbitrary workflow model is required. After the investigation of the workflow model, we find that the cyclic structure can make the workflow model more complex. Thus, this paper aims to investigate the cyclic structure of workflow nets (WF-net). The method for establishing the transition invariant (T-invariant) subnet of WF-net is proposed, then the necessary and sufficient condition for the T-invariant subnet with sound structure is given. In further study, a verification and reduction method of cyclic structure of WF-nets is put forward. This method not only can point out the error in the cyclic structure and find what causes the error, but also can reduce the sound cyclic structure. After the reduction, a WF-net with cyclic structure is reduced to a WF-net without cyclic structure, then many reduction methods can be used to realize the sound verification of a WF-net without cyclic structure. In the end, the time complexity of the verification and reduction process is discussed.
Keywords :
Petri nets; computational complexity; formal verification; workflow management software; WF-net; cyclic structure verification; time complexity; transition invariant; workflow model; workflow nets; Application software; Automation; Computer science; Educational institutions; Electronic mail; Error correction; Sufficient conditions; Technology management; Technology planning; Workflow management software; Workflow model; cyclic structure; structural conflict; verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527179
Filename :
1527179
Link To Document :
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