# CREA Method:
## Case Reuse and Adaptation

Supervisor : Bénédicte LE GRAND
Co-Supervisor : Irina RYCHKOVA

Fabrice BOISSIER

### Knowledge Intensive Process (KIP) : characteristics and challenges

## What is a KIP? [1][2]

* Embeds a lot of knowledge : complex tasks, decision making based on a lot of information

* Requires a lot of human collaboration

* Has a high degree of uncertainty : loose structure (unexpected activity or unexpected order of activities)

* Requires creativity : original ideas and improvisation

Adaptive Case Management (ACM) [3][4] even changes the point of view :
*Goal-oriented, data-centered, and event-driven*
making each instance of a KIP a unique case

## Multiple challenges on KIP [5]

* How to manage efficiently and effectively the information and knowledge that is manipulated (i.e., created, used, updated) by KIP?

* How to support collaboration and context-specific decision making for KIP?

* How to integrate context information in KIP design?

* How to support compliance in KIP?

* How to support flexibility in KIP scenario?

* How to explore and reuse process fragments in KIP?

### Reuse past cases in order to help a knowledge worker build its new case

Reuse of past cases not well studied [6]
Process fragments could be exploited for reuse like
in Case Based Reasoning (CBR) [6]

Necessary condition on the proposal:
It must be a KIP, because it is solving multiple KIPs
(some KIPs may be modeled as regular processes, but not all [2])

Experimentation in the teaching context :
How to build a new course, from past courses' materials?

<figure><img src="image_1.png" /></figure>

### Semantic analysis & Saptio-Temporal analysis of texts from past cases

<figure><img src="image_2.png" /></figure>

### References:

[1] O. Isik, W. Mertens, and J. Van den Bergh, "Practices of knowledge intensive process management: quantitative insights," Business Process Management Journal, vol. 19, no. 3, pp. 515-534, 2013.

[2] C. Di Ciccio, A. Marrella, and A. Russo, "Knowledge-intensive processes: characteristics, requirements and analysis of contemporary approaches," Journal on Data Semantics, vol. 4, no. 1, pp. 29-57, 2015.

[3] K. D. Swenson, N. Palmer et al., Mastering the unpredictable: how adaptive case management will revolutionize the way that knowledge workers get things done. Meghan-Kiffer Press Tampa, 2010, vol. 1.

[4] E. Kushnareva, I. Rychkova, and B. Le Grand, "Semantics of higraphs for process modeling and analysis," in 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, 2016, pp. 1-8.

[5] F. Boissier, I. Rychkova, and B. Le Grand. "Challenges in Knowledge Intensive Process Management." 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW). IEEE, 2019.

[6] R. Cognini, K. Hinkelmann, and A. Martin, "A case modelling language for process variant management in case-based reasoning," in International Conference on Business Process Management. Springer, 2016.