Abstract
Information systems are ageing over time and become legacy information systems which often embed business knowledge that is not present in any other artifact. This embedded knowledge must be preserved to align the modernized versions of the legacy systems with the current business processes of an organization. Process mining is a powerful tool to discover and preserve business knowledge. Most process mining techniques and tools use event logs, registered during execution of process-aware information systems, as the key source of knowledge. Unfortunately, the majority of traditional information systems is not process-aware and does not have any built-in logging mechanisms. Thus, this paper defines the main challenges to be addressed as well as a preliminary solution to obtain event logs from traditional systems. The solution consists of a technique that statically analyzes the source code and modifies it in a non-invasive way. Finally, the modified source code enables the event log registration at runtime based on dynamic source code analysis.
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References
Cai, Z., Yang, X., Wang, W.: Business Process Recovery for System Maintenance - An Empirical Approach. In: ICSM 2009, pp. 399–402. IEEE Computer Society, Los Alamitos (2009)
Castellanos, M., de Medeiros, K.A., Mendling, J., Weber, B., Weitjers, A.J.M.M.: Business Process Intelligence. In: Handbook of Research on Business Process Modeling, pp. 456–480. Idea Group Inc., USA (2009)
Dumas, M., van der Aalst, W., Ter Hofstede, A.: Process-aware Information Systems: Bridging People and Software Through Process Technology. John Wiley & Sons, Inc., Chichester (2005)
Günther, C.W., van der Aalst, W.M.P.: A Generic Import Framework for Process Event Logs. In: Eder, J., Dustdar, S. (eds.) BPM Workshops 2006. LNCS, vol. 4103, pp. 81–92. Springer, Heidelberg (2006)
van der Heuvel, W.-J.: Aligning Modern Business Processes and Legacy Systems: A Component-Based Perspective (Cooperative Information Systems). The MIT Press, Cambridge (2006)
Ingvaldsen, J.E., Gulla, J.A.: Preprocessing Support for Large Scale Process Mining of SAP Transactions. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 30–41. Springer, Heidelberg (2008)
Mens, T.: Introduction and Roadmap: History and Challenges of Software Evolution. In: Software Evolution, vol. 1, pp. 1–11. Springer, Heidelberg (2008)
Newcomb, P.: Architecture-Driven Modernization (ADM). In: WCRE 2005, p. 237 (2005)
Pérez-Castillo, R., García-Rodríguez de Guzmán, I., Ávila-García, O., Piattini, M.: MARBLE: A Modernization Approach for Recovering Business Processes from Legacy Systems. In: REM 2009, pp. 17–20 (2009)
Ratiu, D.: Reverse Engineering Domain Models from Source Code. In: REM 2009, pp. 13–16 (2009)
Ulrich, W.M.: Legacy Systems: Transformation Strategies, vol. 448. Prentice Hall, Englewood Cliffs (2002)
van der Aalst, W., Weijters, A.J.M.M.: Process Mining. In: Process-aware Information Systems: Bridging People and Software Through Process Technology, pp. 235–255. John Wiley & Sons, Inc., Chichester (2005)
van der Aalst, W.M.P., van Dongenm, B.F., Günther, C., Rozinat, A., Verbeek, H.M.W., Weijters, A.J.M.M.: ProM: the process mining toolkit. In: BPM 2009, pp. 1–4 (2009)
Weske, M.: Business Process Management: Concepts, Languages, Architectures, Leipzig, Alemania, vol. 368. Springer, Heidelberg (2007)
Zou, Y., Hung, M.: An Approach for Extracting Workflows from E-Commerce Applications. In: ICPC 2006, pp. 127–136. IEEE Computer Society, Los Alamitos (2006)
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Pérez-Castillo, R., Weber, B., García-Rodríguez de Guzmán, I., Piattini, M. (2011). Toward Obtaining Event Logs from Legacy Code. In: zur Muehlen, M., Su, J. (eds) Business Process Management Workshops. BPM 2010. Lecture Notes in Business Information Processing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20511-8_18
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DOI: https://doi.org/10.1007/978-3-642-20511-8_18
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