Abstract
Current study proposes solutions for functional and structural validation of business process models extracted after mining the event log dataset with several process mining algorithms. Structural validation (verification) assesses the quality of the business processes using conformance analysis techniques and computed statistical results. Cross-validation for structural validation is also presented as a methodology used for evaluating business processes. Furthermore we propose extending verification of process models with functional validation with the scope of aligning business processes with business objectives. Functional validation starts with process requirement definition, split of process requirements on clear use cases, and generating event log data capturing the use case functionality. Functional validation is applied on real event log data generated during one software release in automotive industry, tools development area. Structural and functional validation techniques are captured in a proposal for a framework.
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References
Dumas M, van der Aalst WMP, Hofstede AHM (2005) Process aware information systems: bridging people and software through process technology. Wiley & Sons, Chichester
van der Aalst WMP (2011) Process mining : discovery, conformance and enhancement of business processes. Springer, Berlin-Heidelberg
Urena Hinojosa E (2008) Process mining applied to the change control board process. Discovering real processes in software development process. Master’s Thesis. Technische Universiteit Eindhoven, Eindhoven, The Netherlands
Verbeek MW, Buijs JCAM, van Dongen BF, van der Aalst WMP (2010) ProM6: the process mining toolkit BPM 2010 Demo, Sept 2010
Sebu ML, Ciocarlie H (2014) Applied process mining in software development. Case study
Rozinat A, Alves de Medeiros AK, Gunther CW, Weijters AJMM, van der Aalst WMP (2011) Towards an evaluation framework for process mining algorithms. Eindhoven University of Technology, Eindhoven
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Sebu, M.L., Ciocârlie, H. (2016). Process Mining Functional and Structural Validation. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_40
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DOI: https://doi.org/10.1007/978-3-319-18296-4_40
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