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Introduction to Integration of the Process Mining to the Knowledge Framework for Software Processes

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Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 427))

Abstract

Systems started to be more process oriented during last decades. The knowledge has moved from humans to systems and systems has more and more knowledge about the process. This paper presents an approach to the integration of the process mining to the process modeling supported by the formal layer. The process is modeled by framework that allows selection and formal description of the applicable meta-model parts, formally define process prescription and then model the process by graphical language. Process is executed and logs are stored. The presented process mining part of the framework then can discover the de facto process model, can check the differences between de facto and de jure model, can enhance de jure model according to the findings.

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Acknowledgment

The research was supported by the internal grant agency of VSB – Technical University of Ostrava, Czech Republic, project no. SP2015/85 ‘Knowledge modelling usage in software engineering’.

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Correspondence to Jakub Stolfa .

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Stolfa, J., Stolfa, S., Kosinar, M.A., Snasel, V. (2016). Introduction to Integration of the Process Mining to the Knowledge Framework for Software Processes. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Advances in Intelligent Systems and Computing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-29504-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-29504-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29503-9

  • Online ISBN: 978-3-319-29504-6

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