Workflow common fragments extraction based on WSDL similarity and graph dependency

Business process management technology has been developing and growing. In the industry, business processes continue to change over time. Changes occur due to consumer demand, technological innovation, and policy changes. Therefore, existing business processes should be able to adapt to any changes. Currently, the design phase is always ignored as the focused point in the business process development. The development process has only focused on the implementation. Hence, in this paper, we propose a method to form a reconfigurable business process model. The method consist of a series of sequential process. The process started with calculating similarity value of business processes based on its structure. Then, we perform the clustering process to the models based on similarity values. From every cluster, we extract the common fragment using dependency graph calculation. The experimental result shows that the proposed method can produce common fragments or reconfigurable models which can be rearranged to its variations. The common fragment has high flexibility and granularity. Research on reconfigurable models of business processes are still limited, therefore the result of this research can be used to start other researches.

[1]  Riyanarto Sarno,et al.  Decision mining for multi choice workflow patterns , 2013, 2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA).

[2]  Remco M. Dijkman,et al.  Business Process Model Merging: An Approach to Business Process Consolidation , 2013, TSEM.

[3]  Mathias Weske,et al.  Metric Trees for Efficient Similarity Search in Large Process Model Repositories , 2010, Business Process Management Workshops.

[4]  Endang Wahyu Pamungkas,et al.  Clustering of ERP business process fragments , 2013, 2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA).

[5]  Paul W. P. J. Grefen,et al.  Fast Business Process Similarity Search with Feature-Based Similarity Estimation , 2010, OTM Conferences.

[6]  Joonsoo Bae,et al.  Hierarchical Clustering of Business Process Models , 2009 .

[7]  Jianmin Wang,et al.  A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences - (Short Paper) , 2010, OTM Conferences.

[8]  Jianmin Wang,et al.  A workflow net similarity measure based on transition adjacency relations , 2010, Comput. Ind..

[9]  Marlon Dumas,et al.  Modelling families of business process variants: A decomposition driven method , 2013, Information Systems.

[10]  Ralph Bergmann,et al.  Representation and Structure-Based Similarity Assessment for Agile Workflows , 2007, LWA.

[11]  Daniela Grigori,et al.  Ranking BPEL Processes for Service Discovery , 2010, IEEE Transactions on Services Computing.

[12]  Ling Liu,et al.  Process Mining, Discovery, and Integration using Distance Measures , 2006, 2006 IEEE International Conference on Web Services (ICWS'06).

[13]  Remco M. Dijkman,et al.  Similarity of business process models: Metrics and evaluation , 2011, Inf. Syst..

[14]  Jorge S. Cardoso,et al.  Measuring the Compliance of Processes with Reference Models , 2009, OTM Conferences.

[15]  Yanbo Han,et al.  An Algorithm for Calculating Process Similarity to Cluster Open-Source Process Designs , 2004, GCC Workshops.

[16]  Ling Liu,et al.  Process Mining by Measuring Process Block Similarity , 2006, Business Process Management Workshops.