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An Information Technology for Detection and Fixing Effort Estimation of Business Process Model Structuredness Errors

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Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2021)

Abstract

This paper considers issues of business process model structuredness, which are mostly related to inaccurate usage of gateways. According to related work in a business process model structuredness domain, split gateways ought to match respective join gateways of the same type, while the existing mismatch measure allows evaluating model structuredness only by degrees of split and join gateways. Thus, the current measure of process model structuredness is not accurate enough and business process model shortcomings could remain undetected, which negatively impacts model understandability, maintainability, and may increase the error probability of business process models. Therefore, error fixing effort and related expenses may grow exponentially during later stages of the information system lifecycle. Hence, we have proposed an improved gateway mismatch measure, a model to detect business process modeling errors and formulate recommendations to achieve sound models, and a model for effort estimation of business process modeling error fixing. An information technology for detection and fixing effort estimation of business process modeling errors was designed and implemented to perform experiments with a large set of business process models that belong to different industries. Sample business process models that were used for calculations are demonstrated, as well as obtained results are analyzed and discussed. Conclusion and future work are formulated.

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Correspondence to Andrii Kopp .

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Orlovskyi, D., Kopp, A. (2022). An Information Technology for Detection and Fixing Effort Estimation of Business Process Model Structuredness Errors. In: Ermolayev, V., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2021. Communications in Computer and Information Science, vol 1698. Springer, Cham. https://doi.org/10.1007/978-3-031-20834-8_7

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  • DOI: https://doi.org/10.1007/978-3-031-20834-8_7

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