![Hybrid Process Models
• Different parts of the same process may
be more or less flexible.
• Modeling a flexible process imperatively,
or a strict process declaratively, may
lead to incomprehensible models.
• Full-blown mixing of imperative and declarative paradigms:
– Petri nets + Declare [Westergaard et al.]
• Mixing of paradigms on the sub-process level:
– Pockets of flexibility in workflow services [Sadiq et al.]
– Flexibility as a Service (FAAS) [Aalst et al.]](https://image.slidesharecdn.com/sevilla-slideshareversion-150325133719-conversion-gate01/85/Hybrid-Process-Models-11-320.jpg)
Hybrid Process Models
- 1. Hybrid Process Models Prof.dr.ir. Hajo Reijers
- 4. D. Fahland, J. Mendling, H.A. Reijers, B. Weber, M. Weidlich, and S. Zugal. Declarative vs. Imperative Process Modeling Languages: The Issue of Maintainability. In S. Rinderle-Ma, S. Sadiq, and F. Leymann, editors, Proceedings of the BPM workshops 2009, Lecture Notes in Business Information Processing 43, 477-488. Springer Verlag, Berlin, 2010. B. Weber, H.A. Reijers, S. Zugal, and W. Wild. The Declarative Approach to Business Process Execution: An Empirical Test. In P. van Eck, J. Gordijn, and R. Wieringa, editors. Proceedings of the 21st International Conference on Advanced Information Systems (CAiSE 2009), Lecture Notes in Computer Science 5565, 470-485. Springer-Verlag, Berlin, 2009. D. Fahland, D. Lübke, J. Mendling, H.A. Reijers, B. Weber, M. Weidlich, and S. Zugal. Declarative versus Imperative Process Modeling Languages: The Issue of Understandability. In T. Halpin, J. Krogstie, S. Nurcan, E. Proper, R. Schmidt, P. Soffer, and R. Ukor, editors, Proceedings of the 14th International Workshop on ExploringModeling Methods in Systems Analysis and Design 2009 (EMMSAD 2009), Lecture Notes in Business Information Processing 29, 353-366, 2009.
- 6. Imperative Process Models • Flow-oriented • Well-suited to rigid processes • In a model with no flow, nothing can happen • Adding flow allows for additional possible behaviors • Common in academia and industry
- 8. Declarative Process Models • Constraint-oriented • Well-suited to flexible processes • In an unconstrained model, anything can happen • Adding constraints limits behavior • Still a novelty in industry
- 9. Industry test • Ten professionals: Five consultants & five developers, average experience in BPM: >11 years, average #models read in last 12 months: 15 • Rather easy to learn • The more experienced, the more optimistic regarding usefulness H.A. Reijers, T. Slaats, and C. Stahl. Declarative Modeling - An Academic Dream or the Future for BPM? In F. Daniel, J. Wang, and B. Weber, editors, Proceedings of the 11th International Conference on Business Process Management (BPM 2013), Lecture Notes in Computer Science 8094, 307-322, 2013.
- 11. Hybrid Process Models • Different parts of the same process may be more or less flexible. • Modeling a flexible process imperatively, or a strict process declaratively, may lead to incomprehensible models. • Full-blown mixing of imperative and declarative paradigms: – Petri nets + Declare [Westergaard et al.] • Mixing of paradigms on the sub-process level: – Pockets of flexibility in workflow services [Sadiq et al.] – Flexibility as a Service (FAAS) [Aalst et al.]
- 14. Automated discovery (process mining) Human modeling Production side
- 15. Define groups Define blocks Define relations between blocks Define relations between activities Vivian Hermans Human modeling V. Hermans. A hybrid process modeling approach. Master Thesis Report, 76 pages, TU Eindhoven, 2014.
- 17. Human modeling • Partial evaluation of the approach • Deciding which process part is to be modeled declaratively or impretatively is surprisingly simple • Overall perception is that the approach is useful, but not so easy to use
- 18. Automated Discovery Event Log Process Model Fabrizio Maggi Tijs Slaats F.M. Maggi, T. Slaats, and H.A. Reijers. The Automated Discovery of Hybrid Processes. In S. Sadiq, P. Soffer, H. Völzer, editors, Proceedings of the 12th International Conference on Business Process Management (BPM 2014), Lecture Notes in Computer Science 8659, 392-399, 2014.
- 19. Automated Discovery Context analysis Clustering (based on context analysis) Clustering (association rule mining) Standard Process Discovery Declare Discovery String Edit Distance
- 20. Results of Imperative Miners http://dx.doi.org/10.4121/uuid:3926db30-f712-4394-aebc-75976070e91f
- 21. Result of Hybrid Miner
- 22. Open issues • How to guide human developers to create hybrid process models? • How to deal with some technical issues, e.g. distinguishing parallellism from variation? • How to properly evaluate the value of a modeling notation?