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Measures of Quality in Business Process Modelling
[Míry kvality v procesním modelování]

Author

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  • Radek Hronza
  • Josef Pavlíček
  • Richard Mach
  • Pavel Náplava

Abstract

Business process modelling and analysing is undoubtedly one of the most important parts of Applied (Business) Informatics. Quality of business process models (diagrams) is crucial for any purpose in this area. The goal of a process analyst's work is to create generally understandable, explicit and error free models. If a process is properly described, created models can be used as an input into deep analysis and optimization. It can be assumed that properly designed business process models (similarly as in the case of correctly written algorithms) contain characteristics that can be mathematically described. Besides it will be possible to create a tool that will help process analysts to design proper models. As part of this review will be conducted systematic literature review in order to find and analyse business process model's design and business process model's quality measures. It was found that mentioned area had already been the subject of research investigation in the past. Thirty-three suitable scientific publications and twenty-two quality measures were found. Analysed scientific publications and existing quality measures do not reflect all important attributes of business process model's clarity, simplicity and completeness. Therefore it would be appropriate to add new measures of quality.

Suggested Citation

  • Radek Hronza & Josef Pavlíček & Richard Mach & Pavel Náplava, 2015. "Measures of Quality in Business Process Modelling [Míry kvality v procesním modelování]," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2015(1), pages 18-29.
    • Handle: RePEc:prg:jnlaip:v:2015:y:2015:i:1:id:57:p:18-29
    DOI: 10.18267/j.aip.57
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    References listed on IDEAS

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    1. Jorge Cardoso, 2008. "Business Process Control-Flow Complexity: Metric, Evaluation, and Validation," International Journal of Web Services Research (IJWSR), IGI Global, vol. 5(2), pages 49-76, April.
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