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2024 | OriginalPaper | Buchkapitel

Empirical Evidence of DMN Errors in the Wild - An SAP Signavio Case Study

verfasst von : Carl Corea, Timotheus Kampik, Patrick Delfmann

Erschienen in: Business Process Management Workshops

Verlag: Springer Nature Switzerland

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Abstract

While the Decision Model and Notation standard (DMN) is considered to be an increasingly popular standard, there is a broad consensus that human modelling errors can easily occur in the creation of DMN models. Yet, while this consensus is clear, there is only limited evidence of which error types exactly may occur in practice. In this work, we therefore present some empirical evidence on DMN errors in the wild. Specifically, we analyze the SAP-SAM dataset by SAP Signavio, containing over 500 000 real-world conceptual models. Our results show that modelling errors, such as missing rules, occur frequently in real-life settings (36.1% of all models contained some form of issue). Furthermore, we analyze the distribution of which error types have occurred (relative to an existing classification of DMN error types from a previous work). To the best of our knowledge, this is the largest DMN study conducted to date (N = 5 668 DMN models).

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Vorheriges Kapitel Pareto-Optimal Trace Generation from Declarative Process Models

Nächstes Kapitel Digital Twin of the Organization for Support of Customer Journeys and Business Processes

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The SAP-SAM is available at https://zenodo.org/record/6964945. Example code that gives a starting point for working with the dataset is available at https://github.com/signavio/sap-sam. Excluding auto-generated example models, the dataset contains around 550,000 models in various notations.

The Pearson correlation coefficient r is a metric that measures the strength of the linear relationship between two variables, defined via \(r=\frac{\sum (x_i - \overline{x})(y_i - \overline{y})}{\sqrt{\sum (x_i - \overline{x})^2(y_i - \overline{y})^2}}\), where \(x_i, y_i\) are the individual samples of variables x, y, and \(\overline{x}, \overline{y}\) are the mean values over x and y. Note that r is a value between −1 and 1, where 1 is a strong positive correlation, and vice versa for \(-1\). For a positive number, the correlation can be read as “the more x, the more y”.

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Titel: Empirical Evidence of DMN Errors in the Wild - An SAP Signavio Case Study
verfasst von: Carl Corea
Timotheus Kampik
Patrick Delfmann
Verlag: Springer Nature Switzerland
Buch: Business Process Management Workshops
Print ISBN: 978-3-031-50973-5

Electronic ISBN: 978-3-031-50974-2

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-50974-2_25

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