ARC Linkage Project: “Facilitating Business Process Standardisation and Reuse”

One of the most pressing management challenges of today’s organisations lies in the reuse and standardisation of best practices across different sectors, products or units. This project aims to design and develop an innovative process model repository and appropriate governance structures to efficiently and effectively support the standardisation and reuse of best practices.

Work Streams

Work Stream I: Advanced Repository Features

This work streams focuses on the design, implementation and testing of advanced features for the management of (large) process model collections. Particular emphasis will be put on the design of those features that foster standardization and reuse of process models. These features will be described by means of algorithms in pseudo-code and formal methods, and be implemented in the Apromore platform.

Work Stream II: Process Model Collections in Practice

This work streams focuses on the value of (large) process model collections in the context of various Business Process Management initiatives. Specifically,  the purpose of this research is to gain theory-driven, empirical insights into the repository-enabled use of process modeling in practice, the impact of process modeling to the success of organizational initiatives, and the contribution of advanced tool support (such as repositories with advanced modeling features) to increasing the value of process modeling.

Sponsors

Queensland University of Technology

• Dr Marcello La Rosa, Senior Lecturer
• Prof. Jan Recker
• Prof. Michael Rosemann
• Prof. Arthur H.M. ter Hofstede
• Artem Polyvyanyy, Post-Doctoral Research Fellow
• Eike Bernhard, PhD Student

Suncorp

• James Couzens, Solution Architect
• Deborah Mahoney, Team Leader
• Cameron James, Senior Software Engineer

Publications

Project Reports

• Project Report No. 1:  A Study of the Use of Business Process Modelling at Suncorp. November 2011.
• Project Report No. 2:  Process Model Repository Governance at Suncorp. December 2011.

Journal Papers

• M. La Rosa, M. Dumas, R. Uba, R. Dijkman. Business Process Model Merging: An Approach to Business Process Consolidation, ACM Transactions on Software Engineering and Methodology, Vol. 22 No. 2, 2013.
• R. Dijkman, M. La Rosa, H. Reijers. Managing Large Collections of Business Process Models – Current Techniques and Challenges, Computers in Industry, Vol. 62 No. 3, 2012.
• J. Mendling, L. Sanchez-Gonzalez, F. Garcia, M. La Rosa. Thresholds for Error Probability Measures of Business Process Models. Journal of Systems and Software, 2012 (to appear).
• J. Recker. “Modeling with Tools is Easier, Believe Me” – The Effects of Tool Functionality on Modeling Grammar Usage Beliefs. Information Systems, Vol. 37 No. 3, 2012.
• W.M.P. van der Aalst, N. Lohmann and M. La Rosa. Ensuring Correctness During Process Configuration via Partner Synthesis. Information Systems, 2012 (to appear).
• M. La Rosa, P. Wohed, J. Mendling, A.H.M. ter Hofstede, H. Reijers and W.M.P. van der Aalst. Managing Process Model Complexity via Abstract Syntax Modifications. IEEE Transactions on Industrial Informatics, Vol. 7 No. 4, 2011.
• M. La Rosa, A.H.M. ter Hofstede, P. Wohed, H. Reijers, J. Mendling, W.M.P. van der Aalst, Managing Process Model Complexity via Concrete Syntax Modifications. IEEE Transactions on Industrial Informatics, Vol. 7 No. 2, 2011.

Conference Papers

• K. van Hee, M. La Rosa, Z. Liu and N. Sidorova. Discovering Characteristics of Stochastic Collections of Process Models. In Proceedings of the 9th International Conference on Business Process Management, Springer, 2011.
• R. Uba, M. Dumas, L. Garcia-Banuelos and M. La Rosa. Clone Detection in Repositories of Business Process Models. In Proceedings of the 9th International Conference on Business Process Management, Springer, 2011.