Paper Info
Title
Incremental workflow mining based on document versioning information
Abstract
Current enterprises spend much effort to obtain precise models of their system engineering processes in order to improve the process capability of the organization. The manual design of workflow models is complicated, time-consuming and error-prone; capabilities of human beings in detecting discrepancies between the actual process and the process model are rather limited. Therefore, automatic techniques for deriving these models are becoming more and more important. In this paper, we present an idea that exploits the user interaction with a version management system for the incremental automatic derivation, refinement and analysis of process models. Though this idea is not fully worked out yet, we sketch the architecture of the solution and the algorithms for the main steps of incremental automatic derivation of process models.
Year
DOI
Venue
2005
10.1007/11608035_25
ISPW
Keywords
Field
DocType
process model,incremental workflow mining,automatic technique,incremental automatic derivation,process capability,main step,actual process,current enterprise,version management system,human being,system engineering process
Process capability,Business process management,Software engineering,Computer science,Process modeling,Artificial intelligence,Process capability index,User interface,Workflow,Software development,Distributed computing,Software versioning
Conference
Volume
ISSN
ISBN
3840
0302-9743
3-540-31112-2
Citations 
PageRank 
References 
16
0.82
10
Authors
3
Name
Order
Citations
PageRank
Ekkart Kindler11219105.52
Vladimir Rubin228613.57
Wilhelm Schäfer31124145.99