Abstract
Abstract process model refers to a coarse-grained view of a process model. Recognizing the diverse usability of abstract models, a plethora of process model abstraction techniques have been proposed. However, these techniques treat process fragments as black box and replace the fragments for abstraction, without taking into consideration the semantics of activities. Consequently, the Business Significant Activities (BSA) inside the black box are also eliminated, which impedes the robustness of abstraction. To address that problem, in this paper, we have proposed an activity-based approach in which all BSAs, including the ones inside process fragments, are preserved. Specifically, we have employed a systematic and rigorous procedure to develop a benchmark collection of 960 process models. The collection includes 240 source process models and 720 process models abstracted at three levels of granularity. Subsequently, we have evaluated the effectiveness of eight activity-ranking techniques for identifying BSAs. The results show, there is no universal technique that achieve higher accuracy for all types of process models. However, in majority of the cases, Word Frequency, Word Co-occurrence and Label Centrality are the top performing techniques for identifying business significant activities.
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References
Dumas, M., la Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management, 2nd edn. Springer, Berlin (2018). https://doi.org/10.1007/978-3-662-56509-4
Kuss, E., Leopold, H., van der Aa, H., Stuckenschmidt, H., Reijers, H.A.: A probabilistic evaluation procedure for process model matching techniques. Data Knowl. Eng. (2018, in press)
Smirnov, S.: Business process model abstraction. Ph.D. thesis at Business Process Technology Group, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany (2011)
Smirnov, S., Reijers, H.A., Weske, M., Nugteren, T.: Business process model abstraction: a definition, catalog, and survey. Distrib. Parallel Databases 30(1), 63–99 (2012)
Smirnov, S., Reijers, H.A., Weske, M., Nugteren, T.: Business process model abstraction: theory and practice, Technical report, No 35, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany (2010)
Polyvyanyy, A., Smirnov, S., Weske, M.: On application of structural decomposition for process model abstraction. In: Proceedings of the 2nd International Conference on Business Process and Services Computing, pp. 110–122, Leipzig, Germany (2009)
PMMC (2015). https://ai.wu.ac.at/emisa2015/contest.php. Accessed 8 June 2018
Shahzad, K., Shareef, K., Ali, R.F., Nawab, R.M.A., Abid, A.: Generating process model collection with diverse label and structural features. In: Proceedings of the Sixth International Conference on Innovative Computing Technology (INTECH 2016), pp. 644–649, Islamabad, Pakistan 2016
Rana, M., Shahzad, K., Nawab, R.M.A., Leopold, H., Babar, U.: A textual description based approach to process matching. In: Horkoff, J., Jeusfeld, Manfred A., Persson, A. (eds.) PoEM 2016. LNBIP, vol. 267, pp. 194–208. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48393-1_14
Zaheer, S., Shahzad, K., Nawab, R.M.: Comparing manual- and auto-generated textual descriptions of business process models. In: Proceedings of the Sixth International Conference on Innovative Computing Technology (INTEC 2016), pp. 41–46, Islamabad, Pakistan (2016)
Ferreira, R., et al.: Assessing sentence scoring techniques for extractive text summarization. Expert Syst. Appl. 40(14), 5755–5764 (2013)
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Fatima, B., Shahzad, K. (2019). Process Model Abstraction: Identifying Business Significant Activities. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_24
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DOI: https://doi.org/10.1007/978-981-13-6052-7_24
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