Incremental Workflow Mining Based on Document Versioning Information

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.

[1]  Kees M. van Hee,et al.  Workflow Management: Models, Methods, and Systems , 2002, Cooperative information systems.

[2]  Wil M.P. van der Aalst,et al.  Rediscovering workflow models from event-based data , 2001 .

[3]  Wolfgang Reisig,et al.  Lectures on Petri Nets I: Basic Models , 1996, Lecture Notes in Computer Science.

[4]  Wil M.P. van der Aalst,et al.  Process mining: discovering workflow models from event-based data , 2001 .

[5]  Dimitrios Gunopulos,et al.  Mining Process Models from Workflow Logs , 1998, EDBT.

[6]  Alexander L. Wolf,et al.  Discovering models of software processes from event-based data , 1998, TSEM.

[7]  Guido Schimm.  Process Miner - A Tool for Mining Process Schemes from Event-Based Data , 2002, JELIA.

[8]  Tadao Murata,et al.  Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[9]  Frank Leymann,et al.  Production Workflow: Concepts and Techniques , 1999 .

[10]  Heikki Mannila,et al.  Decomposition of Event Sequences into Independent Components , 2001, SDM.

[11]  Sergio Greco,et al.  Proceedings of the European Conference on Logics in Artificial Intelligence , 2002 .

[12]  Wil M. P. van der Aalst,et al.  Process mining: a research agenda , 2004, Comput. Ind..

[13]  Michael Rosemann,et al.  Workflow-based process monitoring and controlling-technical and organizational issues , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[14]  Moshe Bar,et al.  Open Source Development with CVS , 1999 .

[15]  J. Nunamaker,et al.  Proceedings of the 32nd Hawaii International Conference on System Sciences , 1999 .

[16]  Wil M.P. van der Aalst,et al.  Workflow mining: discovering workflow models from event-based data , 2002 .

[17]  Dimitris Karagiannis,et al.  Integrating machine learning and workflow management to support acquisition and adaptation of workflow models , 1998, Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130).

[18]  Boudewijn F. van Dongen,et al.  Workflow mining: A survey of issues and approaches , 2003, Data Knowl. Eng..

[19]  Ivica Crnkovic,et al.  Product Data Management and Software Configuration Management - Similarities and Differences , 2001 .